---
_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. Plos One. Published
online 2025. doi:10.1371/journal.pone.0318874
apa: Kornowicz, J., & Thommes, K. (2025). Algorithm, expert, or both? Evaluating
the role of feature selection methods on user preferences and reliance. Plos
One. https://doi.org/10.1371/journal.pone.0318874
bibtex: '@article{Kornowicz_Thommes_2025, title={Algorithm, expert, or both? Evaluating
the role of feature selection methods on user preferences and reliance}, DOI={10.1371/journal.pone.0318874},
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.”
Plos One, 2025. https://doi.org/10.1371/journal.pone.0318874.
ieee: 'J. Kornowicz and K. Thommes, “Algorithm, expert, or both? Evaluating the
role of feature selection methods on user preferences and reliance,” Plos One,
2025, doi: 10.1371/journal.pone.0318874.'
mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Algorithm, Expert, or Both? Evaluating
the Role of Feature Selection Methods on User Preferences and Reliance.” Plos
One, 2025, doi:10.1371/journal.pone.0318874.
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. Arxiv. Published online 2025.
doi:10.48550/ARXIV.2509.04241
apa: Kornowicz, J., Pape, M., & Thommes, K. (2025). Would I regret being different?
The influence of social norms on attitudes toward AI usage. Arxiv. https://doi.org/10.48550/ARXIV.2509.04241
bibtex: '@article{Kornowicz_Pape_Thommes_2025, title={Would I regret being different?
The influence of social norms on attitudes toward AI usage}, DOI={10.48550/ARXIV.2509.04241},
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.”
Arxiv, 2025. https://doi.org/10.48550/ARXIV.2509.04241.
ieee: 'J. Kornowicz, M. Pape, and K. Thommes, “Would I regret being different? The
influence of social norms on attitudes toward AI usage,” Arxiv, 2025, doi:
10.48550/ARXIV.2509.04241.'
mla: Kornowicz, Jaroslaw, et al. “Would I Regret Being Different? The Influence
of Social Norms on Attitudes toward AI Usage.” Arxiv, 2025, doi:10.48550/ARXIV.2509.04241.
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: "Abstract\r\n 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."
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: Communications
in Computer and Information Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-08327-2_6'
apa: 'Heid, S., Kornowicz, J., Hanselle, J., Thommes, K., & Hüllermeier, E.
(2025). MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making.
In Communications in Computer and Information Science. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-032-08327-2_6'
bibtex: '@inbook{Heid_Kornowicz_Hanselle_Thommes_Hüllermeier_2025, place={Cham},
title={MSL: Multi-class Scoring Lists for Interpretable Incremental Decision-Making},
DOI={10.1007/978-3-032-08327-2_6},
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 Communications in Computer and Information Science.
Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-08327-2_6.'
ieee: 'S. Heid, J. Kornowicz, J. Hanselle, K. Thommes, and E. Hüllermeier, “MSL:
Multi-class Scoring Lists for Interpretable Incremental Decision-Making,” in Communications
in Computer and Information Science, Cham: Springer Nature Switzerland, 2025.'
mla: 'Heid, Stefan, et al. “MSL: Multi-Class Scoring Lists for Interpretable Incremental
Decision-Making.” Communications in Computer and Information Science, Springer
Nature Switzerland, 2025, doi:10.1007/978-3-032-08327-2_6.'
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. International
Journal of Human–Computer Interaction. Published online 2025:1-19. doi:10.1080/10447318.2025.2581260
apa: Kornowicz, J. (2025). An Empirical Examination of the Evaluative AI Framework.
International Journal of Human–Computer Interaction, 1–19. https://doi.org/10.1080/10447318.2025.2581260
bibtex: '@article{Kornowicz_2025, title={An Empirical Examination of the Evaluative
AI Framework}, DOI={10.1080/10447318.2025.2581260},
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.”
International Journal of Human–Computer Interaction, 2025, 1–19. https://doi.org/10.1080/10447318.2025.2581260.
ieee: 'J. Kornowicz, “An Empirical Examination of the Evaluative AI Framework,”
International Journal of Human–Computer Interaction, pp. 1–19, 2025, doi:
10.1080/10447318.2025.2581260.'
mla: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
International Journal of Human–Computer Interaction, Informa UK Limited,
2025, pp. 1–19, doi:10.1080/10447318.2025.2581260.
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: '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: PROCEEDINGS
34. WORKSHOP COMPUTATIONAL INTELLIGENCE. Vol 21. ; 2024:233.'
apa: 'Heid, S., Kornowicz, J., Hanselle, J. M., Hüllermeier, E., & Thommes,
K. (2024). Human-AI Co-Construction of Interpretable Predictive Models: The Case
of Scoring Systems. PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE,
21, 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 PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE,
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 PROCEEDINGS 34. WORKSHOP COMPUTATIONAL INTELLIGENCE, 2024, vol. 21,
p. 233.'
mla: 'Heid, Stefan, et al. “Human-AI Co-Construction of Interpretable Predictive
Models: The Case of Scoring Systems.” PROCEEDINGS 34. WORKSHOP COMPUTATIONAL
INTELLIGENCE, 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: Proceedings of the 2024 Workshop
on Explainability Engineering. ACM; 2024:20-25. doi:10.1145/3648505.3648509'
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., &
Booshehri, M. (2024). Towards a Computational Architecture for Co-Constructive
Explainable Systems. Proceedings of the 2024 Workshop on Explainability Engineering,
20–25. https://doi.org/10.1145/3648505.3648509
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={10.1145/3648505.3648509},
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 Proceedings of the
2024 Workshop on Explainability Engineering, 20–25. ACM, 2024. https://doi.org/10.1145/3648505.3648509.
ieee: 'H. Buschmeier et al., “Towards a Computational Architecture for Co-Constructive
Explainable Systems,” in Proceedings of the 2024 Workshop on Explainability
Engineering, Lisbon, Portugal, 2024, pp. 20–25, doi: 10.1145/3648505.3648509.'
mla: Buschmeier, Hendrik, et al. “Towards a Computational Architecture for Co-Constructive
Explainable Systems.” Proceedings of the 2024 Workshop on Explainability Engineering,
ACM, 2024, pp. 20–25, doi:10.1145/3648505.3648509.
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. arXiv.
Published online 2024. doi:10.48550/ARXIV.2411.08583
apa: Kornowicz, J. (2024). An Empirical Examination of the Evaluative AI Framework.
ArXiv. https://doi.org/10.48550/ARXIV.2411.08583
bibtex: '@article{Kornowicz_2024, title={An Empirical Examination of the Evaluative
AI Framework}, DOI={10.48550/ARXIV.2411.08583},
journal={arXiv}, author={Kornowicz, Jaroslaw}, year={2024} }'
chicago: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
ArXiv, 2024. https://doi.org/10.48550/ARXIV.2411.08583.
ieee: 'J. Kornowicz, “An Empirical Examination of the Evaluative AI Framework,”
arXiv, 2024, doi: 10.48550/ARXIV.2411.08583.'
mla: Kornowicz, Jaroslaw. “An Empirical Examination of the Evaluative AI Framework.”
ArXiv, 2024, doi:10.48550/ARXIV.2411.08583.
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: Artificial Intelligence
in HCI. Artificial Intelligence in HCI. ; 2023. doi:10.1007/978-3-031-35891-3_9'
apa: Lebedeva, A., Kornowicz, J., Lammert, O., & Papenkordt, J. (2023). The
Role of Response Time for Algorithm Aversion in Fast and Slow Thinking Tasks.
Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_9
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={10.1007/978-3-031-35891-3_9},
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 Artificial Intelligence in HCI. Artificial Intelligence in HCI, 2023.
https://doi.org/10.1007/978-3-031-35891-3_9.
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: 10.1007/978-3-031-35891-3_9.'
mla: Lebedeva, Anastasia, et al. “The Role of Response Time for Algorithm Aversion
in Fast and Slow Thinking Tasks.” Artificial Intelligence in HCI, 2023,
doi:10.1007/978-3-031-35891-3_9.
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.
Artificial Intelligence in HCI. Published online 2023. doi:10.1007/978-3-031-35891-3_7
apa: Kornowicz, J., & Thommes, K. (2023). Aggregating Human Domain Knowledge
for Feature Ranking. Artificial Intelligence in HCI. https://doi.org/10.1007/978-3-031-35891-3_7
bibtex: '@article{Kornowicz_Thommes_2023, title={Aggregating Human Domain Knowledge
for Feature Ranking}, DOI={10.1007/978-3-031-35891-3_7},
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.” Artificial Intelligence in HCI, 2023. https://doi.org/10.1007/978-3-031-35891-3_7.
ieee: 'J. Kornowicz and K. Thommes, “Aggregating Human Domain Knowledge for Feature
Ranking,” Artificial Intelligence in HCI, 2023, doi: 10.1007/978-3-031-35891-3_7.'
mla: Kornowicz, Jaroslaw, and Kirsten Thommes. “Aggregating Human Domain Knowledge
for Feature Ranking.” Artificial Intelligence in HCI, Springer Nature Switzerland,
2023, doi:10.1007/978-3-031-35891-3_7.
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: '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. LWDA’23: Learning, Knowledge, Data, Analysis. . ; 2023.'
apa: 'Hanselle, J. M., Kornowicz, J., Heid, S., Thommes, K., & Hüllermeier,
E. (2023). Comparing Humans and Algorithms in Feature Ranking: A Case-Study in
the Medical Domain. In M. Leyer & J. Wichmann (Eds.), LWDA’23: Learning,
Knowledge, Data, Analysis. .'
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 LWDA’23: Learning, Knowledge, Data, Analysis. ,
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 LWDA’23: Learning, Knowledge, Data, Analysis. , 2023.'
mla: 'Hanselle, Jonas Manuel, et al. “Comparing Humans and Algorithms in Feature
Ranking: A Case-Study in the Medical Domain.” LWDA’23: Learning, Knowledge,
Data, Analysis. , 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'
...