Influence of prior and task generated emotions on XAI explanation retention and understanding
Birte Richter, Christian Sch\"utze, Anna Aksonova, Britta Wrede

TL;DR
This study explores how prior and task-related emotions influence users' retention and understanding of AI explanations, revealing that emotions can induce biases and affect comprehension during decision support interactions.
Contribution
It provides novel insights into the role of emotions in explanation processing, highlighting their impact on understanding and potential biases in AI-assisted decision-making.
Findings
Prior emotions do not affect explanation ratings but influence understanding of certain features.
Personal attitude-related features induce arousal and affect comprehension.
Arousal impacts understanding of emotionally salient variables.
Abstract
The explanation of AI results and how they are received by users is an increasingly active research field. However, there is a surprising lack of knowledge about how social factors such as emotions affect the process of explanation by a decision support system (DSS). While previous research has shown effects of emotions on DSS supported decision-making, it remains unknown in how far emotions affect cognitive processing during an explanation. In this study, we, therefore, investigated the influence of prior emotions and task-related arousal on the retention and understanding of explained feature relevance. To investigate the influence of prior emotions, we induced happiness and fear prior to the decision support interaction. Before emotion induction, user characteristics to assess their risk type were collected via a questionnaire. To identify emotional reactions to the explanations of…
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Robotics and Automated Systems · Semantic Web and Ontologies
