The Role of Emotion in Self-Explanations by Cognitive Agents

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

10 Citations (Scopus)

Abstract

Artificial Intelligence (AI) systems, including intelligent agents, are becoming increasingly complex. Explainable AI (XAI) is the capability of these systems to explain their behaviour, in a for humans understandable manner. Cognitive agents, a type of intelligent agents, typically explain their actions with their beliefs and desires. However, humans also take into account their own and other's emotions in their explanations, and humans explain their emotions. We refer to using emotions in XAI as Emotion-aware eXplainable Artificial Intelligence (EXAI). Although EXAI should also include awareness of the other's emotions, in this work we focus on how the simulation of emotions in cognitive agents can help them self-explain their behaviour. We argue that emotions simulated based on cognitive appraisal theory enable (1) the explanation of these emotions, (2) using them as a heuristic to identify important beliefs and desires for the explanation, and (3) the use of emotion words in the explanations themselves.

Original languageEnglish
Title of host publication7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages88-93
Number of pages6
Volume2018-January
ISBN (Electronic)978-1-5386-0680-3
DOIs
Publication statusPublished - 2018
EventACIIW 2017: 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos - San Antonio, TX, United States
Duration: 23 Oct 201726 Oct 2017
Conference number: 7

Conference

ConferenceACIIW 2017
CountryUnited States
CitySan Antonio, TX
Period23/10/1726/10/17

Keywords

  • Artificial intelligence
  • Appraisal
  • Computational modeling
  • Training
  • Psychology
  • Games
  • Cognition

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