---
res:
  bibo_abstract:
  - "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@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jaroslaw
      foaf_name: Kornowicz, Jaroslaw
      foaf_surname: Kornowicz
      foaf_workInfoHomepage: http://www.librecat.org/personId=44029
    orcid: 0000-0002-5654-9911
  bibo_doi: 10.48550/ARXIV.2411.08583
  dct_date: 2024^xs_gYear
  dct_language: eng
  dct_title: An Empirical Examination of the Evaluative AI Framework@
...