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 language | English |
|---|---|
| Title of host publication | 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017 |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 88-93 |
| Number of pages | 6 |
| Volume | 2018-January |
| ISBN (Electronic) | 978-1-5386-0680-3 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | ACIIW 2017: 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos - San Antonio, TX, United States Duration: 23 Oct 2017 → 26 Oct 2017 Conference number: 7 |
Conference
| Conference | ACIIW 2017 |
|---|---|
| Country/Territory | United States |
| City | San Antonio, TX |
| Period | 23/10/17 → 26/10/17 |
Keywords
- Artificial intelligence
- Appraisal
- Computational modeling
- Training
- Psychology
- Games
- Cognition