---
_id: '65090'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n                  <jats:p>If XAI are
    to become social XAI, XAI methods must have capabilities enabling them to ‘extract’
    information about the underlying AI model and to generate explanatory content
    based on that information. In a dialog between explainer and explainee, the explanans
    presented in every explanation move have to relate to each other understandably
    and coherently in order to remain trustworthy. This signifies that the generated
    explanantia have to be consistent—independently of what question is answered by
    each explanans, in what modality, in what vocabulary, and at what level of abstraction.
    Moreover, it is advantageous to be able to provide a rich palette of different
    kinds of explanantia in order to be able to have a fluent dialog in which the
    explanantia can be generated and adapted to the context, the explainee, feedback,
    reactions during the interaction with the explainee, and so forth. This chapter
    attempts to identify relevant questions that an explainee might ask during an
    explanatory dialog, and it assesses to what extent different XAI methods are capable
    of addressing these questions in a coherent way. The Contextual Importance and
    Utility (CIU) method is used to illustrate how an XAI method can generate explanantia
    for most of the identified questions. CIU also provides a flexibility in how explanatory
    content is generated that makes it possible to create a meaningful dialog with
    the explainee.</jats:p>"
author:
- first_name: Kary
  full_name: Främling, Kary
  last_name: Främling
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Britta
  full_name: Wrede, Britta
  last_name: Wrede
citation:
  ama: 'Främling K, Thommes K, Wrede B. Generation of Explanatory Content and Requirements
    for Social XAI. In: <i>Social Explainable AI</i>. Springer Nature Singapore; 2026.
    doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_15">10.1007/978-981-96-5290-7_15</a>'
  apa: Främling, K., Thommes, K., &#38; Wrede, B. (2026). Generation of Explanatory
    Content and Requirements for Social XAI. In <i>Social Explainable AI</i>. Springer
    Nature Singapore. <a href="https://doi.org/10.1007/978-981-96-5290-7_15">https://doi.org/10.1007/978-981-96-5290-7_15</a>
  bibtex: '@inbook{Främling_Thommes_Wrede_2026, place={Singapore}, title={Generation
    of Explanatory Content and Requirements for Social XAI}, DOI={<a href="https://doi.org/10.1007/978-981-96-5290-7_15">10.1007/978-981-96-5290-7_15</a>},
    booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Främling,
    Kary and Thommes, Kirsten and Wrede, Britta}, year={2026} }'
  chicago: 'Främling, Kary, Kirsten Thommes, and Britta Wrede. “Generation of Explanatory
    Content and Requirements for Social XAI.” In <i>Social Explainable AI</i>. Singapore:
    Springer Nature Singapore, 2026. <a href="https://doi.org/10.1007/978-981-96-5290-7_15">https://doi.org/10.1007/978-981-96-5290-7_15</a>.'
  ieee: 'K. Främling, K. Thommes, and B. Wrede, “Generation of Explanatory Content
    and Requirements for Social XAI,” in <i>Social Explainable AI</i>, Singapore:
    Springer Nature Singapore, 2026.'
  mla: Främling, Kary, et al. “Generation of Explanatory Content and Requirements
    for Social XAI.” <i>Social Explainable AI</i>, Springer Nature Singapore, 2026,
    doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_15">10.1007/978-981-96-5290-7_15</a>.
  short: 'K. Främling, K. Thommes, B. Wrede, in: Social Explainable AI, Springer Nature
    Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:48:38Z
date_updated: 2026-03-23T08:49:08Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_15
language:
- iso: eng
place: Singapore
project:
- _id: '113'
  name: TRR 318 - Subproject A3
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
  isbn:
  - '9789819652891'
  - '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Generation of Explanatory Content and Requirements for Social XAI
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65088'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n                  <jats:p>Quantitatively
    evaluating the benefits of eXplainable Artificial Intelligence (XAI) and social
    XAI for humans is not a trivial pursuit. Therefore, we categorize the potential
    measures in terms of subjective and objective outcomes and short- and long-term
    outcomes of interactive social XAI. When reviewing the current state of the art,
    we observed some measurement problems in the literature: (a) Researchers do not
    clearly state whether they want to measure the inner state of users, users’ behavioral
    response, or the overall AI-human collaborative performance. (b) Moreover, most
    measures implicitly assume that all humans either do not react or improve in attitudes
    or performance. Psychological reactance (feeling or doing the opposite) is usually
    not captured. (c) Many researchers invent their own scale when measuring psychological
    constructs, thereby jeopardizing the validity of their measures and slowing down
    progress in the field, because general evidence and subsequent learning can be
    achieved only by collecting many compatible pieces of evidence. (d) Most studies
    look into short-term outcomes and neglect that experiences in social interactions
    with XAI may evolve and have long-term outcomes not only for the individual but
    also for groups or society at large.</jats:p>"
author:
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: 'Thommes K. Measuring the Outcome of sXAI. In: <i>Social Explainable AI</i>.
    Springer Nature Singapore; 2026. doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_28">10.1007/978-981-96-5290-7_28</a>'
  apa: Thommes, K. (2026). Measuring the Outcome of sXAI. In <i>Social Explainable
    AI</i>. Springer Nature Singapore. <a href="https://doi.org/10.1007/978-981-96-5290-7_28">https://doi.org/10.1007/978-981-96-5290-7_28</a>
  bibtex: '@inbook{Thommes_2026, place={Singapore}, title={Measuring the Outcome of
    sXAI}, DOI={<a href="https://doi.org/10.1007/978-981-96-5290-7_28">10.1007/978-981-96-5290-7_28</a>},
    booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Thommes,
    Kirsten}, year={2026} }'
  chicago: 'Thommes, Kirsten. “Measuring the Outcome of SXAI.” In <i>Social Explainable
    AI</i>. Singapore: Springer Nature Singapore, 2026. <a href="https://doi.org/10.1007/978-981-96-5290-7_28">https://doi.org/10.1007/978-981-96-5290-7_28</a>.'
  ieee: 'K. Thommes, “Measuring the Outcome of sXAI,” in <i>Social Explainable AI</i>,
    Singapore: Springer Nature Singapore, 2026.'
  mla: Thommes, Kirsten. “Measuring the Outcome of SXAI.” <i>Social Explainable AI</i>,
    Springer Nature Singapore, 2026, doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_28">10.1007/978-981-96-5290-7_28</a>.
  short: 'K. Thommes, in: Social Explainable AI, Springer Nature Singapore, Singapore,
    2026.'
date_created: 2026-03-23T08:45:05Z
date_updated: 2026-03-23T08:45:33Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_28
language:
- iso: eng
place: Singapore
project:
- _id: '113'
  name: TRR 318 - Subproject A3
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
  isbn:
  - '9789819652891'
  - '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Measuring the Outcome of sXAI
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65086'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n                  <jats:p>Explainable
    AI (XAI) aims to make the decisions and behavior of an AI understandable to the
    people interacting with it and to those affected by its outcomes. To make XAI
    social, real-world XAI systems need to simulate not only the ways in which human
    explainers behave within explanatory dialogs but also the ways in which such dialogs
    can successfully achieve the intended understanding on the explainee’s side. This,
    in turn, requires an operationalization of the three core aspects of social XAI:
    multimodality, incrementality, and patterns. This chapter lays the ground for
    this goal by defining a basic operational model of social interactions that can
    be refined and extended to account for the specificities of any explanatory real-world
    setting. This serves as a basis for summarizing and discussing existing ideas
    from explainability research and related areas in order to operationalize each
    core aspect. Selected examples and case studies illustrate how to concretely realize
    such an operationalization, thereby serving as a starting point for future research
    on social interaction with XAI.</jats:p>"
author:
- first_name: Henning
  full_name: Wachsmuth, Henning
  last_name: Wachsmuth
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Milad
  full_name: Alshomary, Milad
  last_name: Alshomary
citation:
  ama: 'Wachsmuth H, Thommes K, Alshomary M. Operationalizing Social Interaction.
    In: <i>Social Explainable AI</i>. Springer Nature Singapore; 2026. doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_27">10.1007/978-981-96-5290-7_27</a>'
  apa: Wachsmuth, H., Thommes, K., &#38; Alshomary, M. (2026). Operationalizing Social
    Interaction. In <i>Social Explainable AI</i>. Springer Nature Singapore. <a href="https://doi.org/10.1007/978-981-96-5290-7_27">https://doi.org/10.1007/978-981-96-5290-7_27</a>
  bibtex: '@inbook{Wachsmuth_Thommes_Alshomary_2026, place={Singapore}, title={Operationalizing
    Social Interaction}, DOI={<a href="https://doi.org/10.1007/978-981-96-5290-7_27">10.1007/978-981-96-5290-7_27</a>},
    booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Wachsmuth,
    Henning and Thommes, Kirsten and Alshomary, Milad}, year={2026} }'
  chicago: 'Wachsmuth, Henning, Kirsten Thommes, and Milad Alshomary. “Operationalizing
    Social Interaction.” In <i>Social Explainable AI</i>. Singapore: Springer Nature
    Singapore, 2026. <a href="https://doi.org/10.1007/978-981-96-5290-7_27">https://doi.org/10.1007/978-981-96-5290-7_27</a>.'
  ieee: 'H. Wachsmuth, K. Thommes, and M. Alshomary, “Operationalizing Social Interaction,”
    in <i>Social Explainable AI</i>, Singapore: Springer Nature Singapore, 2026.'
  mla: Wachsmuth, Henning, et al. “Operationalizing Social Interaction.” <i>Social
    Explainable AI</i>, Springer Nature Singapore, 2026, doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_27">10.1007/978-981-96-5290-7_27</a>.
  short: 'H. Wachsmuth, K. Thommes, M. Alshomary, in: Social Explainable AI, Springer
    Nature Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:42:37Z
date_updated: 2026-03-23T08:43:25Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_27
language:
- iso: eng
place: Singapore
project:
- _id: '113'
  name: TRR 318 - Subproject A3
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
  isbn:
  - '9789819652891'
  - '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Operationalizing Social Interaction
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65091'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n                  <jats:p>This chapter
    examines key challenges and potential improvements in the areas of user interaction
    and dynamic explanations. It highlights the need for XAI systems to address context
    factors beyond their predefined scope, it points to the potential need to cocreate
    new concepts that are adapted to particular explainees, and it provides a clear
    overview of the XAI system’s underlying knowledge structure and interaction steps.
    Emphasis is placed on mixed-initiative interaction in which the system can lead
    or respond based on the context and the explainee’s reactions while asserting
    the importance of maintaining coherence across consecutive explanations. These
    advances aim to make XAI systems more flexible, interactive, and user-centric.
    An operationalization section outlines how such social XAI systems could be implemented
    based on the XAI capabilities provided by the Contextual Importance and Utility
    XAI method described in the previous chapter.</jats:p>"
author:
- first_name: Kary
  full_name: Främling, Kary
  last_name: Främling
- first_name: Britta
  full_name: Wrede, Britta
  last_name: Wrede
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: 'Främling K, Wrede B, Thommes K. Exploration of Explaining Content. In: <i>Social
    Explainable AI</i>. Springer Nature Singapore; 2026. doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_16">10.1007/978-981-96-5290-7_16</a>'
  apa: Främling, K., Wrede, B., &#38; Thommes, K. (2026). Exploration of Explaining
    Content. In <i>Social Explainable AI</i>. Springer Nature Singapore. <a href="https://doi.org/10.1007/978-981-96-5290-7_16">https://doi.org/10.1007/978-981-96-5290-7_16</a>
  bibtex: '@inbook{Främling_Wrede_Thommes_2026, place={Singapore}, title={Exploration
    of Explaining Content}, DOI={<a href="https://doi.org/10.1007/978-981-96-5290-7_16">10.1007/978-981-96-5290-7_16</a>},
    booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Främling,
    Kary and Wrede, Britta and Thommes, Kirsten}, year={2026} }'
  chicago: 'Främling, Kary, Britta Wrede, and Kirsten Thommes. “Exploration of Explaining
    Content.” In <i>Social Explainable AI</i>. Singapore: Springer Nature Singapore,
    2026. <a href="https://doi.org/10.1007/978-981-96-5290-7_16">https://doi.org/10.1007/978-981-96-5290-7_16</a>.'
  ieee: 'K. Främling, B. Wrede, and K. Thommes, “Exploration of Explaining Content,”
    in <i>Social Explainable AI</i>, Singapore: Springer Nature Singapore, 2026.'
  mla: Främling, Kary, et al. “Exploration of Explaining Content.” <i>Social Explainable
    AI</i>, Springer Nature Singapore, 2026, doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_16">10.1007/978-981-96-5290-7_16</a>.
  short: 'K. Främling, B. Wrede, K. Thommes, in: Social Explainable AI, Springer Nature
    Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:52:18Z
date_updated: 2026-03-23T08:52:46Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_16
language:
- iso: eng
place: Singapore
project:
- _id: '113'
  name: TRR 318 - Subproject A3
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
  isbn:
  - '9789819652891'
  - '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Exploration of Explaining Content
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65087'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n                  <jats:p>Much research
    in XAI focuses on single, one-shot interactions, implicitly assuming that interactions
    have no past, no future, and no surroundings. Although this assumption may be
    necessary for many empirical research settings, it is overly simplifying and unrealistic.
    Whereas empirical research focuses on a world in which no social context exists,
    real applications are embedded in a temporal (past and future) and social context.
    Social science research shows that repeated interactions and secondhand knowledge
    in the social space massively affect human attitudes and behaviors. This chapter
    explains how not only repeated interactions between XAI and humans but also the
    social space and secondhand information may affect social XAI research.</jats:p>"
author:
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Kary
  full_name: Främling, Kary
  last_name: Främling
- first_name: Britta
  full_name: Wrede, Britta
  last_name: Wrede
- first_name: Sylvain
  full_name: Kubler, Sylvain
  last_name: Kubler
citation:
  ama: 'Thommes K, Främling K, Wrede B, Kubler S. Interaction History in Social XAI.
    In: <i>Social Explainable AI</i>. Springer Nature Singapore; 2026. doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_17">10.1007/978-981-96-5290-7_17</a>'
  apa: Thommes, K., Främling, K., Wrede, B., &#38; Kubler, S. (2026). Interaction
    History in Social XAI. In <i>Social Explainable AI</i>. Springer Nature Singapore.
    <a href="https://doi.org/10.1007/978-981-96-5290-7_17">https://doi.org/10.1007/978-981-96-5290-7_17</a>
  bibtex: '@inbook{Thommes_Främling_Wrede_Kubler_2026, place={Singapore}, title={Interaction
    History in Social XAI}, DOI={<a href="https://doi.org/10.1007/978-981-96-5290-7_17">10.1007/978-981-96-5290-7_17</a>},
    booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Thommes,
    Kirsten and Främling, Kary and Wrede, Britta and Kubler, Sylvain}, year={2026}
    }'
  chicago: 'Thommes, Kirsten, Kary Främling, Britta Wrede, and Sylvain Kubler. “Interaction
    History in Social XAI.” In <i>Social Explainable AI</i>. Singapore: Springer Nature
    Singapore, 2026. <a href="https://doi.org/10.1007/978-981-96-5290-7_17">https://doi.org/10.1007/978-981-96-5290-7_17</a>.'
  ieee: 'K. Thommes, K. Främling, B. Wrede, and S. Kubler, “Interaction History in
    Social XAI,” in <i>Social Explainable AI</i>, Singapore: Springer Nature Singapore,
    2026.'
  mla: Thommes, Kirsten, et al. “Interaction History in Social XAI.” <i>Social Explainable
    AI</i>, Springer Nature Singapore, 2026, doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_17">10.1007/978-981-96-5290-7_17</a>.
  short: 'K. Thommes, K. Främling, B. Wrede, S. Kubler, in: Social Explainable AI,
    Springer Nature Singapore, Singapore, 2026.'
date_created: 2026-03-23T08:43:50Z
date_updated: 2026-03-23T08:44:37Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_17
language:
- iso: eng
place: Singapore
project:
- _id: '125'
  name: TRR 318 - Subproject C2
- _id: '113'
  name: TRR 318 - Subproject A3
publication: Social Explainable AI
publication_identifier:
  isbn:
  - '9789819652891'
  - '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Interaction History in Social XAI
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '65089'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n                  <jats:p>In the past,
    there has been much research aiming to evaluate XAI practices—that is, explanations
    that can add to a user’s understanding of “why” or “why not.” However, because
    there is such a huge amount of diversity in social contexts, optimizing for the
    mean neglects the social dimensions of to whom, what, why, when, and where explanations
    are provided. Nonetheless, these dimensions matter. We give some brief examples
    on the accuracy of the mental model (as an example for who?), on measuring explanation
    practices (as an example of what?), on human motivation (as an example of why?),
    on repeated interactions (as an example of when), and on bystander effects (as
    an example of where?). Importantly, controlling for these factors (or randomizing
    them) is as important as attempting to perform external validations.</jats:p>"
author:
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: 'Thommes K. Evaluation Principles. In: <i>Social Explainable AI</i>. Springer
    Nature Singapore; 2026. doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_26">10.1007/978-981-96-5290-7_26</a>'
  apa: Thommes, K. (2026). Evaluation Principles. In <i>Social Explainable AI</i>.
    Springer Nature Singapore. <a href="https://doi.org/10.1007/978-981-96-5290-7_26">https://doi.org/10.1007/978-981-96-5290-7_26</a>
  bibtex: '@inbook{Thommes_2026, place={Singapore}, title={Evaluation Principles},
    DOI={<a href="https://doi.org/10.1007/978-981-96-5290-7_26">10.1007/978-981-96-5290-7_26</a>},
    booktitle={Social Explainable AI}, publisher={Springer Nature Singapore}, author={Thommes,
    Kirsten}, year={2026} }'
  chicago: 'Thommes, Kirsten. “Evaluation Principles.” In <i>Social Explainable AI</i>.
    Singapore: Springer Nature Singapore, 2026. <a href="https://doi.org/10.1007/978-981-96-5290-7_26">https://doi.org/10.1007/978-981-96-5290-7_26</a>.'
  ieee: 'K. Thommes, “Evaluation Principles,” in <i>Social Explainable AI</i>, Singapore:
    Springer Nature Singapore, 2026.'
  mla: Thommes, Kirsten. “Evaluation Principles.” <i>Social Explainable AI</i>, Springer
    Nature Singapore, 2026, doi:<a href="https://doi.org/10.1007/978-981-96-5290-7_26">10.1007/978-981-96-5290-7_26</a>.
  short: 'K. Thommes, in: Social Explainable AI, Springer Nature Singapore, Singapore,
    2026.'
date_created: 2026-03-23T08:47:10Z
date_updated: 2026-03-23T08:47:38Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-981-96-5290-7_26
language:
- iso: eng
place: Singapore
project:
- _id: '113'
  name: TRR 318 - Subproject A3
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Social Explainable AI
publication_identifier:
  isbn:
  - '9789819652891'
  - '9789819652907'
publication_status: published
publisher: Springer Nature Singapore
status: public
title: Evaluation Principles
type: book_chapter
user_id: '72497'
year: '2026'
...
---
_id: '58939'
author:
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: Kornowicz J, Thommes K. Algorithm, expert, or both? Evaluating the role of
    feature selection methods on user preferences and reliance. <i>Plos One</i>. Published
    online 2025. doi:<a href="https://doi.org/10.1371/journal.pone.0318874">10.1371/journal.pone.0318874</a>
  apa: Kornowicz, J., &#38; Thommes, K. (2025). Algorithm, expert, or both? Evaluating
    the role of feature selection methods on user preferences and reliance. <i>Plos
    One</i>. <a href="https://doi.org/10.1371/journal.pone.0318874">https://doi.org/10.1371/journal.pone.0318874</a>
  bibtex: '@article{Kornowicz_Thommes_2025, title={Algorithm, expert, or both? Evaluating
    the role of feature selection methods on user preferences and reliance}, DOI={<a
    href="https://doi.org/10.1371/journal.pone.0318874">10.1371/journal.pone.0318874</a>},
    journal={Plos One}, author={Kornowicz, Jaroslaw and Thommes, Kirsten}, year={2025}
    }'
  chicago: Kornowicz, Jaroslaw, and Kirsten Thommes. “Algorithm, Expert, or Both?
    Evaluating the Role of Feature Selection Methods on User Preferences and Reliance.”
    <i>Plos One</i>, 2025. <a href="https://doi.org/10.1371/journal.pone.0318874">https://doi.org/10.1371/journal.pone.0318874</a>.
  ieee: 'J. Kornowicz and K. Thommes, “Algorithm, expert, or both? Evaluating the
    role of feature selection methods on user preferences and reliance,” <i>Plos One</i>,
    2025, doi: <a href="https://doi.org/10.1371/journal.pone.0318874">10.1371/journal.pone.0318874</a>.'
  mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Algorithm, Expert, or Both? Evaluating
    the Role of Feature Selection Methods on User Preferences and Reliance.” <i>Plos
    One</i>, 2025, doi:<a href="https://doi.org/10.1371/journal.pone.0318874">10.1371/journal.pone.0318874</a>.
  short: J. Kornowicz, K. Thommes, Plos One (2025).
date_created: 2025-03-08T12:09:50Z
date_updated: 2025-03-14T19:24:56Z
department:
- _id: '178'
- _id: '184'
doi: 10.1371/journal.pone.0318874
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Plos One
status: public
title: Algorithm, expert, or both? Evaluating the role of feature selection methods
  on user preferences and reliance
type: journal_article
user_id: '72497'
year: '2025'
...
---
_id: '61137'
abstract:
- lang: eng
  text: Prior research shows that social norms can reduce algorithm aversion, but
    little is known about how such norms become established. Most accounts emphasize
    technological and individual determinants, yet AI adoption unfolds within organizational
    social contexts shaped by peers and supervisors. We ask whether the source of
    the norm-peers or supervisors-shapes AI usage behavior. This question is practically
    relevant for organizations seeking to promote effective AI adoption. We conducted
    an online vignette experiment, complemented by qualitative data on participants'
    feelings and justifications after (counter-)normative behavior. In line with the
    theory, counter-normative choices elicited higher regret than norm-adherent choices.
    On average, choosing AI increased regret compared to choosing an human. This aversion
    was weaker when AI use was presented as the prevailing norm, indicating a statistically
    significant interaction between AI use and an AI-favoring norm. Participants also
    attributed less blame to technology than to humans, which increased regret when
    AI was chosen over human expertise. Both peer and supervisor influence emerged
    as relevant factors, though contrary to expectations they did not significantly
    affect regret. Our findings suggest that regret aversion, embedded in social norms,
    is a central mechanism driving imitation in AI-related decision-making.
author:
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Maurice
  full_name: Pape, Maurice
  last_name: Pape
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: Kornowicz J, Pape M, Thommes K. Would I regret being different? The influence
    of social norms on attitudes toward AI usage. <i>Arxiv</i>. Published online 2025.
    doi:<a href="https://doi.org/10.48550/ARXIV.2509.04241">10.48550/ARXIV.2509.04241</a>
  apa: Kornowicz, J., Pape, M., &#38; Thommes, K. (2025). Would I regret being different?
    The influence of social norms on attitudes toward AI usage. <i>Arxiv</i>. <a href="https://doi.org/10.48550/ARXIV.2509.04241">https://doi.org/10.48550/ARXIV.2509.04241</a>
  bibtex: '@article{Kornowicz_Pape_Thommes_2025, title={Would I regret being different?
    The influence of social norms on attitudes toward AI usage}, DOI={<a href="https://doi.org/10.48550/ARXIV.2509.04241">10.48550/ARXIV.2509.04241</a>},
    journal={Arxiv}, author={Kornowicz, Jaroslaw and Pape, Maurice and Thommes, Kirsten},
    year={2025} }'
  chicago: Kornowicz, Jaroslaw, Maurice Pape, and Kirsten Thommes. “Would I Regret
    Being Different? The Influence of Social Norms on Attitudes toward AI Usage.”
    <i>Arxiv</i>, 2025. <a href="https://doi.org/10.48550/ARXIV.2509.04241">https://doi.org/10.48550/ARXIV.2509.04241</a>.
  ieee: 'J. Kornowicz, M. Pape, and K. Thommes, “Would I regret being different? The
    influence of social norms on attitudes toward AI usage,” <i>Arxiv</i>, 2025, doi:
    <a href="https://doi.org/10.48550/ARXIV.2509.04241">10.48550/ARXIV.2509.04241</a>.'
  mla: Kornowicz, Jaroslaw, et al. “Would I Regret Being Different? The Influence
    of Social Norms on Attitudes toward AI Usage.” <i>Arxiv</i>, 2025, doi:<a href="https://doi.org/10.48550/ARXIV.2509.04241">10.48550/ARXIV.2509.04241</a>.
  short: J. Kornowicz, M. Pape, K. Thommes, Arxiv (2025).
date_created: 2025-09-05T06:42:48Z
date_updated: 2025-09-05T06:45:01Z
department:
- _id: '178'
- _id: '184'
doi: 10.48550/ARXIV.2509.04241
language:
- iso: eng
project:
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Arxiv
status: public
title: Would I regret being different? The influence of social norms on attitudes
  toward AI usage
type: journal_article
user_id: '72497'
year: '2025'
...
---
_id: '61820'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n          <jats:p>A scoring list is
    a sequence of simple decision models, where features are incrementally evaluated
    and scores of satisfied features are summed to be used for threshold-based decisions
    or for calculating class probabilities. In this paper, we introduce a new multi-class
    variant and compare it against previously introduced binary classification variants
    for incremental decisions, as well as multi-class variants for classical decision-making
    using all features. Furthermore, we introduce a new multi-class dataset to assess
    collaborative human-machine decision-making, which is suitable for user studies
    with non-expert participants. We demonstrate the usefulness of our approach by
    evaluating predictive performance and compared to the performance of participants
    without AI help.</jats:p>"
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Jonas
  full_name: Hanselle, Jonas
  last_name: Hanselle
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Kornowicz J, Hanselle J, Thommes K, Hüllermeier E. MSL: Multi-class
    Scoring Lists for Interpretable Incremental Decision-Making. In: <i>Communications
    in Computer and Information Science</i>. Springer Nature Switzerland; 2025. doi:<a
    href="https://doi.org/10.1007/978-3-032-08327-2_6">10.1007/978-3-032-08327-2_6</a>'
  apa: 'Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., &#38; Hüllermeier, E.
    (2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making.
    In <i>Communications in Computer and Information Science</i>. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-032-08327-2_6">https://doi.org/10.1007/978-3-032-08327-2_6</a>'
  bibtex: '@inbook{Heid_Kornowicz_Hanselle_Thommes_Hüllermeier_2025, place={Cham},
    title={MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making},
    DOI={<a href="https://doi.org/10.1007/978-3-032-08327-2_6">10.1007/978-3-032-08327-2_6</a>},
    booktitle={Communications in Computer and Information Science}, publisher={Springer
    Nature Switzerland}, author={Heid, Stefan and Kornowicz, Jaroslaw and Hanselle,
    Jonas and Thommes, Kirsten and Hüllermeier, Eyke}, year={2025} }'
  chicago: 'Heid, Stefan, Jaroslaw Kornowicz, Jonas Hanselle, Kirsten Thommes, and
    Eyke Hüllermeier. “MSL: Multi-Class Scoring Lists for Interpretable Incremental
    Decision-Making.” In <i>Communications in Computer and Information Science</i>.
    Cham: Springer Nature Switzerland, 2025. <a href="https://doi.org/10.1007/978-3-032-08327-2_6">https://doi.org/10.1007/978-3-032-08327-2_6</a>.'
  ieee: 'S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, and E. Hüllermeier, “MSL:
    Multi-class Scoring Lists for Interpretable Incremental Decision-Making,” in <i>Communications
    in Computer and Information Science</i>, Cham: Springer Nature Switzerland, 2025.'
  mla: 'Heid, Stefan, et al. “MSL: Multi-Class Scoring Lists for Interpretable Incremental
    Decision-Making.” <i>Communications in Computer and Information Science</i>, Springer
    Nature Switzerland, 2025, doi:<a href="https://doi.org/10.1007/978-3-032-08327-2_6">10.1007/978-3-032-08327-2_6</a>.'
  short: 'S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, E. Hüllermeier, in: Communications
    in Computer and Information Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-10-13T13:34:36Z
date_updated: 2025-10-13T13:35:11Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-032-08327-2_6
language:
- iso: eng
place: Cham
project:
- _id: '125'
  name: TRR 318 - Subproject C2
publication: Communications in Computer and Information Science
publication_identifier:
  isbn:
  - '9783032083265'
  - '9783032083272'
  issn:
  - 1865-0929
  - 1865-0937
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making'
type: book_chapter
user_id: '72497'
year: '2025'
...
---
_id: '62213'
author:
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
citation:
  ama: Kornowicz J. An Empirical Examination of the Evaluative AI Framework. <i>International
    Journal of Human–Computer Interaction</i>. Published online 2025:1-19. doi:<a
    href="https://doi.org/10.1080/10447318.2025.2581260">10.1080/10447318.2025.2581260</a>
  apa: Kornowicz, J. (2025). An Empirical Examination of the Evaluative AI Framework.
    <i>International Journal of Human–Computer Interaction</i>, 1–19. <a href="https://doi.org/10.1080/10447318.2025.2581260">https://doi.org/10.1080/10447318.2025.2581260</a>
  bibtex: '@article{Kornowicz_2025, title={An Empirical Examination of the Evaluative
    AI Framework}, DOI={<a href="https://doi.org/10.1080/10447318.2025.2581260">10.1080/10447318.2025.2581260</a>},
    journal={International Journal of Human–Computer Interaction}, publisher={Informa
    UK Limited}, author={Kornowicz, Jaroslaw}, year={2025}, pages={1–19} }'
  chicago: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
    <i>International Journal of Human–Computer Interaction</i>, 2025, 1–19. <a href="https://doi.org/10.1080/10447318.2025.2581260">https://doi.org/10.1080/10447318.2025.2581260</a>.
  ieee: 'J. Kornowicz, “An Empirical Examination of the Evaluative AI Framework,”
    <i>International Journal of Human–Computer Interaction</i>, pp. 1–19, 2025, doi:
    <a href="https://doi.org/10.1080/10447318.2025.2581260">10.1080/10447318.2025.2581260</a>.'
  mla: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
    <i>International Journal of Human–Computer Interaction</i>, Informa UK Limited,
    2025, pp. 1–19, doi:<a href="https://doi.org/10.1080/10447318.2025.2581260">10.1080/10447318.2025.2581260</a>.
  short: J. Kornowicz, International Journal of Human–Computer Interaction (2025)
    1–19.
date_created: 2025-11-17T12:27:42Z
date_updated: 2025-11-17T12:28:12Z
department:
- _id: '178'
- _id: '184'
doi: 10.1080/10447318.2025.2581260
language:
- iso: eng
page: 1-19
project:
- _id: '125'
  name: TRR 318 - Subproject C2
publication: International Journal of Human–Computer Interaction
publication_identifier:
  issn:
  - 1044-7318
  - 1532-7590
publication_status: published
publisher: Informa UK Limited
status: public
title: An Empirical Examination of the Evaluative AI Framework
type: journal_article
user_id: '72497'
year: '2025'
...
---
_id: '54911'
article_number: '109190'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues
    for situated decision making: The case of scoring systems. <i>International Journal
    of Approximate Reasoning</i>. 2024;171. doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>'
  apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning
    decision catalogues for situated decision making: The case of scoring systems.
    <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190.
    <a href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>'
  bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
    catalogues for situated decision making: The case of scoring systems}, volume={171},
    DOI={<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>},
    number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier
    BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and
    Hüllermeier, Eyke}, year={2024} }'
  chicago: 'Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier.
    “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring
    Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>.'
  ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
    catalogues for situated decision making: The case of scoring systems,” <i>International
    Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
    The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>,
    vol. 171, 109190, Elsevier BV, 2024, doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  short: S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal
    of Approximate Reasoning 171 (2024).
date_created: 2024-06-26T14:28:07Z
date_updated: 2024-06-26T14:28:47Z
department:
- _id: '660'
doi: 10.1016/j.ijar.2024.109190
intvolume: '       171'
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: International Journal of Approximate Reasoning
publication_identifier:
  issn:
  - 0888-613X
publication_status: published
publisher: Elsevier BV
status: public
title: 'Learning decision catalogues for situated decision making: The case of scoring
  systems'
type: journal_article
user_id: '72497'
volume: 171
year: '2024'
...
---
_id: '54907'
article_number: '109190'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Heid S, Hanselle JM, Fürnkranz J, Hüllermeier E. Learning decision catalogues
    for situated decision making: The case of scoring systems. <i>International Journal
    of Approximate Reasoning</i>. 2024;171. doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>'
  apa: 'Heid, S., Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2024). Learning
    decision catalogues for situated decision making: The case of scoring systems.
    <i>International Journal of Approximate Reasoning</i>, <i>171</i>, Article 109190.
    <a href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>'
  bibtex: '@article{Heid_Hanselle_Fürnkranz_Hüllermeier_2024, title={Learning decision
    catalogues for situated decision making: The case of scoring systems}, volume={171},
    DOI={<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>},
    number={109190}, journal={International Journal of Approximate Reasoning}, publisher={Elsevier
    BV}, author={Heid, Stefan and Hanselle, Jonas Manuel and Fürnkranz, Johannes and
    Hüllermeier, Eyke}, year={2024} }'
  chicago: 'Heid, Stefan, Jonas Manuel Hanselle, Johannes Fürnkranz, and Eyke Hüllermeier.
    “Learning Decision Catalogues for Situated Decision Making: The Case of Scoring
    Systems.” <i>International Journal of Approximate Reasoning</i> 171 (2024). <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">https://doi.org/10.1016/j.ijar.2024.109190</a>.'
  ieee: 'S. Heid, J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Learning decision
    catalogues for situated decision making: The case of scoring systems,” <i>International
    Journal of Approximate Reasoning</i>, vol. 171, Art. no. 109190, 2024, doi: <a
    href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  mla: 'Heid, Stefan, et al. “Learning Decision Catalogues for Situated Decision Making:
    The Case of Scoring Systems.” <i>International Journal of Approximate Reasoning</i>,
    vol. 171, 109190, Elsevier BV, 2024, doi:<a href="https://doi.org/10.1016/j.ijar.2024.109190">10.1016/j.ijar.2024.109190</a>.'
  short: S. Heid, J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, International Journal
    of Approximate Reasoning 171 (2024).
date_created: 2024-06-26T14:19:19Z
date_updated: 2024-11-20T09:44:54Z
department:
- _id: '660'
doi: 10.1016/j.ijar.2024.109190
intvolume: '       171'
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: International Journal of Approximate Reasoning
publication_identifier:
  issn:
  - 0888-613X
publication_status: published
publisher: Elsevier BV
status: public
title: 'Learning decision catalogues for situated decision making: The case of scoring
  systems'
type: journal_article
user_id: '72497'
volume: 171
year: '2024'
...
---
_id: '57645'
author:
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: 'Heid S, Kornowicz J, Hanselle JM, Hüllermeier E, Thommes K. Human-AI Co-Construction
    of Interpretable Predictive Models: The Case of Scoring Systems. In: <i>PROCEEDINGS
    34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>. Vol 21. ; 2024:233.'
  apa: 'Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., &#38; Thommes,
    K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case
    of Scoring Systems. <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>,
    <i>21</i>, 233.'
  bibtex: '@inproceedings{Heid_Kornowicz_Hanselle_Hüllermeier_Thommes_2024, title={Human-AI
    Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems},
    volume={21}, booktitle={PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE},
    author={Heid, Stefan and Kornowicz, Jaroslaw and Hanselle, Jonas Manuel and Hüllermeier,
    Eyke and Thommes, Kirsten}, year={2024}, pages={233} }'
  chicago: 'Heid, Stefan, Jaroslaw Kornowicz, Jonas Manuel Hanselle, Eyke Hüllermeier,
    and Kirsten Thommes. “Human-AI Co-Construction of Interpretable Predictive Models:
    The Case of Scoring Systems.” In <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>,
    21:233, 2024.'
  ieee: 'S. Heid, J. Kornowicz, J. M. Hanselle, E. Hüllermeier, and K. Thommes, “Human-AI
    Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems,”
    in <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE</i>, 2024, vol. 21,
    p. 233.'
  mla: 'Heid, Stefan, et al. “Human-AI Co-Construction of Interpretable Predictive
    Models: The Case of Scoring Systems.” <i>PROCEEDINGS 34. WORKSHOP COMPUTATIONAL
    INTELLIGENCE</i>, vol. 21, 2024, p. 233.'
  short: 'S. Heid, J. Kornowicz, J.M. Hanselle, E. Hüllermeier, K. Thommes, in: PROCEEDINGS
    34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 2024, p. 233.'
date_created: 2024-12-09T08:05:54Z
date_updated: 2024-12-09T08:06:37Z
department:
- _id: '178'
- _id: '184'
intvolume: '        21'
language:
- iso: eng
page: '233'
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE
status: public
title: 'Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring
  Systems'
type: conference
user_id: '72497'
volume: 21
year: '2024'
...
---
_id: '55403'
abstract:
- lang: eng
  text: In this paper we consider the interactive processes by which an explainer
    and an explainee cooperate to produce an explanation, which we refer to as co-construction.
    Explainable Artificial Intelligence (XAI) is concerned with the development of
    intelligent systems and robots that can explain and justify their actions, decisions,
    recommendations, and so on. However, the cooperative construction of explanations
    remains a key but under-explored issue. This short paper proposes an architecture
    for intelligent systems that promotes a co-constructive and interactive approach
    to explanation generation. By outlining its basic components and their specific
    roles, we aim to contribute to the advancement of XAI computational frameworks
    that actively engage users in the explanation process.
author:
- first_name: Hendrik
  full_name: Buschmeier, Hendrik
  id: '76456'
  last_name: Buschmeier
  orcid: 0000-0002-9613-5713
- first_name: Philipp
  full_name: Cimiano, Philipp
  last_name: Cimiano
- first_name: Stefan
  full_name: Kopp, Stefan
  last_name: Kopp
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Olesja
  full_name: Lammert, Olesja
  id: '47384'
  last_name: Lammert
  orcid: 0000-0001-8201-5166
- first_name: Marco
  full_name: Matarese, Marco
  last_name: Matarese
- first_name: Dimitry
  full_name: Mindlin, Dimitry
  last_name: Mindlin
- first_name: Amelie Sophie
  full_name: Robrecht, Amelie Sophie
  last_name: Robrecht
- first_name: Anna-Lisa
  full_name: Vollmer, Anna-Lisa
  id: '86589'
  last_name: Vollmer
- first_name: Petra
  full_name: Wagner, Petra
  id: '74505'
  last_name: Wagner
- first_name: Britta
  full_name: Wrede, Britta
  last_name: Wrede
- first_name: Meisam
  full_name: Booshehri, Meisam
  id: '93424'
  last_name: Booshehri
citation:
  ama: 'Buschmeier H, Cimiano P, Kopp S, et al. Towards a Computational Architecture
    for Co-Constructive Explainable Systems. In: <i>Proceedings of the 2024 Workshop
    on Explainability Engineering</i>. ACM; 2024:20-25. doi:<a href="https://doi.org/10.1145/3648505.3648509">10.1145/3648505.3648509</a>'
  apa: Buschmeier, H., Cimiano, P., Kopp, S., Kornowicz, J., Lammert, O., Matarese,
    M., Mindlin, D., Robrecht, A. S., Vollmer, A.-L., Wagner, P., Wrede, B., &#38;
    Booshehri, M. (2024). Towards a Computational Architecture for Co-Constructive
    Explainable Systems. <i>Proceedings of the 2024 Workshop on Explainability Engineering</i>,
    20–25. <a href="https://doi.org/10.1145/3648505.3648509">https://doi.org/10.1145/3648505.3648509</a>
  bibtex: '@inproceedings{Buschmeier_Cimiano_Kopp_Kornowicz_Lammert_Matarese_Mindlin_Robrecht_Vollmer_Wagner_et
    al._2024, title={Towards a Computational Architecture for Co-Constructive Explainable
    Systems}, DOI={<a href="https://doi.org/10.1145/3648505.3648509">10.1145/3648505.3648509</a>},
    booktitle={Proceedings of the 2024 Workshop on Explainability Engineering}, publisher={ACM},
    author={Buschmeier, Hendrik and Cimiano, Philipp and Kopp, Stefan and Kornowicz,
    Jaroslaw and Lammert, Olesja and Matarese, Marco and Mindlin, Dimitry and Robrecht,
    Amelie Sophie and Vollmer, Anna-Lisa and Wagner, Petra and et al.}, year={2024},
    pages={20–25} }'
  chicago: Buschmeier, Hendrik, Philipp Cimiano, Stefan Kopp, Jaroslaw Kornowicz,
    Olesja Lammert, Marco Matarese, Dimitry Mindlin, et al. “Towards a Computational
    Architecture for Co-Constructive Explainable Systems.” In <i>Proceedings of the
    2024 Workshop on Explainability Engineering</i>, 20–25. ACM, 2024. <a href="https://doi.org/10.1145/3648505.3648509">https://doi.org/10.1145/3648505.3648509</a>.
  ieee: 'H. Buschmeier <i>et al.</i>, “Towards a Computational Architecture for Co-Constructive
    Explainable Systems,” in <i>Proceedings of the 2024 Workshop on Explainability
    Engineering</i>, Lisbon, Portugal, 2024, pp. 20–25, doi: <a href="https://doi.org/10.1145/3648505.3648509">10.1145/3648505.3648509</a>.'
  mla: Buschmeier, Hendrik, et al. “Towards a Computational Architecture for Co-Constructive
    Explainable Systems.” <i>Proceedings of the 2024 Workshop on Explainability Engineering</i>,
    ACM, 2024, pp. 20–25, doi:<a href="https://doi.org/10.1145/3648505.3648509">10.1145/3648505.3648509</a>.
  short: 'H. Buschmeier, P. Cimiano, S. Kopp, J. Kornowicz, O. Lammert, M. Matarese,
    D. Mindlin, A.S. Robrecht, A.-L. Vollmer, P. Wagner, B. Wrede, M. Booshehri, in:
    Proceedings of the 2024 Workshop on Explainability Engineering, ACM, 2024, pp.
    20–25.'
conference:
  location: Lisbon, Portugal
  name: 2024 Workshop on Explainability Engineering
date_created: 2024-07-26T11:57:31Z
date_updated: 2025-03-14T19:24:35Z
department:
- _id: '184'
- _id: '178'
- _id: '660'
doi: 10.1145/3648505.3648509
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 20-25
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
- _id: '113'
  name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '112'
  grant_number: '438445824'
  name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
    auswerten (Teilprojekt A02)'
- _id: '118'
  name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 2024 Workshop on Explainability Engineering
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: Towards a Computational Architecture for Co-Constructive Explainable Systems
type: conference
user_id: '44029'
year: '2024'
...
---
_id: '57461'
abstract:
- lang: eng
  text: "This study empirically examines the \"Evaluative AI\" framework, which aims
    to enhance the decision-making process for AI users by transitioning from a recommendation-based
    approach to a hypothesis-driven one. Rather than offering direct recommendations,
    this framework presents users pro and con evidence for hypotheses to support more
    informed decisions. However, findings from the current behavioral experiment reveal
    no significant improvement in decision-making performance and limited user engagement
    with the evidence provided, resulting in cognitive processes similar to those
    observed in traditional AI systems. Despite these results, the framework still
    holds promise for further exploration in future research.\r\n"
article_type: original
author:
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
citation:
  ama: Kornowicz J. An Empirical Examination of the Evaluative AI Framework. <i>arXiv</i>.
    Published online 2024. doi:<a href="https://doi.org/10.48550/ARXIV.2411.08583">10.48550/ARXIV.2411.08583</a>
  apa: Kornowicz, J. (2024). An Empirical Examination of the Evaluative AI Framework.
    <i>ArXiv</i>. <a href="https://doi.org/10.48550/ARXIV.2411.08583">https://doi.org/10.48550/ARXIV.2411.08583</a>
  bibtex: '@article{Kornowicz_2024, title={An Empirical Examination of the Evaluative
    AI Framework}, DOI={<a href="https://doi.org/10.48550/ARXIV.2411.08583">10.48550/ARXIV.2411.08583</a>},
    journal={arXiv}, author={Kornowicz, Jaroslaw}, year={2024} }'
  chicago: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
    <i>ArXiv</i>, 2024. <a href="https://doi.org/10.48550/ARXIV.2411.08583">https://doi.org/10.48550/ARXIV.2411.08583</a>.
  ieee: 'J. Kornowicz, “An Empirical Examination of the Evaluative AI Framework,”
    <i>arXiv</i>, 2024, doi: <a href="https://doi.org/10.48550/ARXIV.2411.08583">10.48550/ARXIV.2411.08583</a>.'
  mla: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
    <i>ArXiv</i>, 2024, doi:<a href="https://doi.org/10.48550/ARXIV.2411.08583">10.48550/ARXIV.2411.08583</a>.
  short: J. Kornowicz, ArXiv (2024).
date_created: 2024-11-27T16:20:25Z
date_updated: 2025-09-15T12:41:53Z
department:
- _id: '184'
- _id: '178'
doi: 10.48550/ARXIV.2411.08583
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: arXiv
status: public
title: An Empirical Examination of the Evaluative AI Framework
type: journal_article
user_id: '44029'
year: '2024'
...
---
_id: '48285'
author:
- first_name: Anastasia
  full_name: Lebedeva, Anastasia
  last_name: Lebedeva
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
- first_name: Olesja
  full_name: Lammert, Olesja
  id: '47384'
  last_name: Lammert
- first_name: Jörg
  full_name: Papenkordt, Jörg
  id: '44648'
  last_name: Papenkordt
citation:
  ama: 'Lebedeva A, Kornowicz J, Lammert O, Papenkordt J. The Role of Response Time
    for Algorithm Aversion in Fast and Slow Thinking Tasks. In: <i>Artificial Intelligence
    in HCI</i>. Artificial Intelligence in HCI. ; 2023. doi:<a href="https://doi.org/10.1007/978-3-031-35891-3_9">10.1007/978-3-031-35891-3_9</a>'
  apa: Lebedeva, A., Kornowicz, J., Lammert, O., &#38; Papenkordt, J. (2023). The
    Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks.
    <i>Artificial Intelligence in HCI</i>. <a href="https://doi.org/10.1007/978-3-031-35891-3_9">https://doi.org/10.1007/978-3-031-35891-3_9</a>
  bibtex: '@inproceedings{Lebedeva_Kornowicz_Lammert_Papenkordt_2023, series={Artificial
    Intelligence in HCI}, title={The Role of Response Time for Algorithm Aversion
    in Fast and Slow Thinking Tasks}, DOI={<a href="https://doi.org/10.1007/978-3-031-35891-3_9">10.1007/978-3-031-35891-3_9</a>},
    booktitle={Artificial Intelligence in HCI}, author={Lebedeva, Anastasia and Kornowicz,
    Jaroslaw and Lammert, Olesja and Papenkordt, Jörg}, year={2023}, collection={Artificial
    Intelligence in HCI} }'
  chicago: Lebedeva, Anastasia, Jaroslaw Kornowicz, Olesja Lammert, and Jörg Papenkordt.
    “The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks.”
    In <i>Artificial Intelligence in HCI</i>. Artificial Intelligence in HCI, 2023.
    <a href="https://doi.org/10.1007/978-3-031-35891-3_9">https://doi.org/10.1007/978-3-031-35891-3_9</a>.
  ieee: 'A. Lebedeva, J. Kornowicz, O. Lammert, and J. Papenkordt, “The Role of Response
    Time for Algorithm Aversion in Fast and Slow Thinking Tasks,” 2023, doi: <a href="https://doi.org/10.1007/978-3-031-35891-3_9">10.1007/978-3-031-35891-3_9</a>.'
  mla: Lebedeva, Anastasia, et al. “The Role of Response Time for Algorithm Aversion
    in Fast and Slow Thinking Tasks.” <i>Artificial Intelligence in HCI</i>, 2023,
    doi:<a href="https://doi.org/10.1007/978-3-031-35891-3_9">10.1007/978-3-031-35891-3_9</a>.
  short: 'A. Lebedeva, J. Kornowicz, O. Lammert, J. Papenkordt, in: Artificial Intelligence
    in HCI, 2023.'
date_created: 2023-10-19T07:53:23Z
date_updated: 2023-11-23T08:06:17Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-031-35891-3_9
language:
- iso: eng
project:
- _id: '113'
  name: 'TRR 318 - A3: TRR 318 - Subproject A3'
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
- _id: '409'
  grant_number: 02L19C115
  name: 'KIAM: KIAM: Kompetenzzentrum KI in der Arbeitswelt des industriellen Mittelstands
    in OstWestfalenLippe'
publication: Artificial Intelligence in HCI
series_title: Artificial Intelligence in HCI
status: public
title: The Role of Response Time for Algorithm Aversion in Fast and Slow Thinking
  Tasks
type: conference
user_id: '44648'
year: '2023'
...
---
_id: '47953'
author:
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
citation:
  ama: Kornowicz J, Thommes K. Aggregating Human Domain Knowledge for Feature Ranking.
    <i>Artificial Intelligence in HCI</i>. Published online 2023. doi:<a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>
  apa: Kornowicz, J., &#38; Thommes, K. (2023). Aggregating Human Domain Knowledge
    for Feature Ranking. <i>Artificial Intelligence in HCI</i>. <a href="https://doi.org/10.1007/978-3-031-35891-3_7">https://doi.org/10.1007/978-3-031-35891-3_7</a>
  bibtex: '@article{Kornowicz_Thommes_2023, title={Aggregating Human Domain Knowledge
    for Feature Ranking}, DOI={<a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>},
    journal={Artificial Intelligence in HCI}, publisher={Springer Nature Switzerland},
    author={Kornowicz, Jaroslaw and Thommes, Kirsten}, year={2023} }'
  chicago: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
    for Feature Ranking.” <i>Artificial Intelligence in HCI</i>, 2023. <a href="https://doi.org/10.1007/978-3-031-35891-3_7">https://doi.org/10.1007/978-3-031-35891-3_7</a>.
  ieee: 'J. Kornowicz and K. Thommes, “Aggregating Human Domain Knowledge for Feature
    Ranking,” <i>Artificial Intelligence in HCI</i>, 2023, doi: <a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>.'
  mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
    for Feature Ranking.” <i>Artificial Intelligence in HCI</i>, Springer Nature Switzerland,
    2023, doi:<a href="https://doi.org/10.1007/978-3-031-35891-3_7">10.1007/978-3-031-35891-3_7</a>.
  short: J. Kornowicz, K. Thommes, Artificial Intelligence in HCI (2023).
date_created: 2023-10-11T08:01:00Z
date_updated: 2023-12-05T10:15:37Z
department:
- _id: '184'
- _id: '178'
doi: 10.1007/978-3-031-35891-3_7
language:
- iso: eng
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Artificial Intelligence in HCI
publication_identifier:
  isbn:
  - '9783031358906'
  - '9783031358913'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Aggregating Human Domain Knowledge for Feature Ranking
type: journal_article
user_id: '42933'
year: '2023'
...
---
_id: '54909'
author:
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Johannes
  full_name: Fürnkranz, Johannes
  last_name: Fürnkranz
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Hanselle JM, Fürnkranz J, Hüllermeier E. Probabilistic Scoring Lists for Interpretable
    Machine Learning. In: <i>Discovery Science</i>. Springer Nature Switzerland; 2023.
    doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>'
  apa: Hanselle, J. M., Fürnkranz, J., &#38; Hüllermeier, E. (2023). Probabilistic
    Scoring Lists for Interpretable Machine Learning. In <i>Discovery Science</i>.
    Springer Nature Switzerland. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>
  bibtex: '@inbook{Hanselle_Fürnkranz_Hüllermeier_2023, place={Cham}, title={Probabilistic
    Scoring Lists for Interpretable Machine Learning}, DOI={<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>},
    booktitle={Discovery Science}, publisher={Springer Nature Switzerland}, author={Hanselle,
    Jonas Manuel and Fürnkranz, Johannes and Hüllermeier, Eyke}, year={2023} }'
  chicago: 'Hanselle, Jonas Manuel, Johannes Fürnkranz, and Eyke Hüllermeier. “Probabilistic
    Scoring Lists for Interpretable Machine Learning.” In <i>Discovery Science</i>.
    Cham: Springer Nature Switzerland, 2023. <a href="https://doi.org/10.1007/978-3-031-45275-8_13">https://doi.org/10.1007/978-3-031-45275-8_13</a>.'
  ieee: 'J. M. Hanselle, J. Fürnkranz, and E. Hüllermeier, “Probabilistic Scoring
    Lists for Interpretable Machine Learning,” in <i>Discovery Science</i>, Cham:
    Springer Nature Switzerland, 2023.'
  mla: Hanselle, Jonas Manuel, et al. “Probabilistic Scoring Lists for Interpretable
    Machine Learning.” <i>Discovery Science</i>, Springer Nature Switzerland, 2023,
    doi:<a href="https://doi.org/10.1007/978-3-031-45275-8_13">10.1007/978-3-031-45275-8_13</a>.
  short: 'J.M. Hanselle, J. Fürnkranz, E. Hüllermeier, in: Discovery Science, Springer
    Nature Switzerland, Cham, 2023.'
date_created: 2024-06-26T14:24:29Z
date_updated: 2024-06-26T14:25:50Z
department:
- _id: '660'
doi: 10.1007/978-3-031-45275-8_13
language:
- iso: eng
place: Cham
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: Discovery Science
publication_identifier:
  isbn:
  - '9783031452741'
  - '9783031452758'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Probabilistic Scoring Lists for Interpretable Machine Learning
type: book_chapter
user_id: '72497'
year: '2023'
...
---
_id: '51209'
author:
- first_name: Jonas Manuel
  full_name: Hanselle, Jonas Manuel
  id: '43980'
  last_name: Hanselle
  orcid: 0000-0002-1231-4985
- first_name: Jaroslaw
  full_name: Kornowicz, Jaroslaw
  id: '44029'
  last_name: Kornowicz
  orcid: 0000-0002-5654-9911
- first_name: Stefan
  full_name: Heid, Stefan
  id: '39640'
  last_name: Heid
  orcid: 0000-0002-9461-7372
- first_name: Kirsten
  full_name: Thommes, Kirsten
  id: '72497'
  last_name: Thommes
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Hanselle JM, Kornowicz J, Heid S, Thommes K, Hüllermeier E. Comparing Humans
    and Algorithms in Feature Ranking: A Case-Study in the Medical Domain. In: Leyer
    M, Wichmann J, eds. <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>. ; 2023.'
  apa: 'Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., &#38; Hüllermeier,
    E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in
    the Medical Domain. In M. Leyer &#38; J. Wichmann (Eds.), <i>LWDA’23: Learning,
    Knowledge, Data, Analysis. </i>.'
  bibtex: '@inproceedings{Hanselle_Kornowicz_Heid_Thommes_Hüllermeier_2023, title={Comparing
    Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain},
    booktitle={LWDA’23: Learning, Knowledge, Data, Analysis. }, author={Hanselle,
    Jonas Manuel and Kornowicz, Jaroslaw and Heid, Stefan and Thommes, Kirsten and
    Hüllermeier, Eyke}, editor={Leyer, M and Wichmann, J}, year={2023} }'
  chicago: 'Hanselle, Jonas Manuel, Jaroslaw Kornowicz, Stefan Heid, Kirsten Thommes,
    and Eyke Hüllermeier. “Comparing Humans and Algorithms in Feature Ranking: A Case-Study
    in the Medical Domain.” In <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>,
    edited by M Leyer and J Wichmann, 2023.'
  ieee: 'J. M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, and E. Hüllermeier, “Comparing
    Humans and Algorithms in Feature Ranking: A Case-Study in the Medical Domain,”
    in <i>LWDA’23: Learning, Knowledge, Data, Analysis. </i>, 2023.'
  mla: 'Hanselle, Jonas Manuel, et al. “Comparing Humans and Algorithms in Feature
    Ranking: A Case-Study in the Medical Domain.” <i>LWDA’23: Learning, Knowledge,
    Data, Analysis. </i>, edited by M Leyer and J Wichmann, 2023.'
  short: 'J.M. Hanselle, J. Kornowicz, S. Heid, K. Thommes, E. Hüllermeier, in: M.
    Leyer, J. Wichmann (Eds.), LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.'
date_created: 2024-02-07T09:24:37Z
date_updated: 2024-12-09T08:09:28Z
department:
- _id: '178'
- _id: '184'
editor:
- first_name: M
  full_name: Leyer, M
  last_name: Leyer
- first_name: J
  full_name: Wichmann, J
  last_name: Wichmann
language:
- iso: eng
main_file_link:
- url: https://ceur-ws.org/Vol-3630/LWDA2023-paper38.pdf
project:
- _id: '125'
  name: 'TRR 318 - C2: TRR 318 - Subproject C2'
publication: 'LWDA’23: Learning, Knowledge, Data, Analysis. '
publication_identifier:
  issn:
  - 1613-0073
status: public
title: 'Comparing Humans and Algorithms in Feature Ranking: A Case-Study in the Medical
  Domain'
type: conference
user_id: '72497'
year: '2023'
...