---
res:
  bibo_abstract:
  - "<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>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Kirsten
      foaf_name: Thommes, Kirsten
      foaf_surname: Thommes
      foaf_workInfoHomepage: http://www.librecat.org/personId=72497
  bibo_doi: 10.1007/978-981-96-5290-7_26
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/9789819652891
  - http://id.crossref.org/issn/9789819652907
  dct_language: eng
  dct_publisher: Springer Nature Singapore@
  dct_title: Evaluation Principles@
...