Abstract
Despite being in the era of Big Data, where our devices seem to anticipate and feed our every desire, intelligent virtual agents appear to lack intimate and important knowledge of their user. Current cognitive agent architectures usually include situation awareness that allows agents to sense their environment, including their human partner, and provide congruent empathic behaviours. Depending on the framework, agents may exhibit their own personality, culture, memories, goals and reasoning styles. However, tailored adaptive behaviours based on multidimensional and deep understanding of the human essential for enduring beneficial relationships in certain contexts are lacking. In this paper, examples are provided of what an agent may need to know about the human in the application domains of education, health and cybersecurity and the challenges around agent adaptation and acquisition of relevant data and knowledge.
Original language | English |
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Title of host publication | ISIAA 2017 |
Subtitle of host publication | Proceedings of the 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents |
Publisher | Association for Computing Machinery, Inc |
Pages | 39-40 |
Number of pages | 2 |
ISBN (Electronic) | 9781450355582 |
DOIs | |
Publication status | Published - 2017 |
Event | 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents, ISIAA 2017 - Glasgow, United Kingdom Duration: 13 Nov 2017 → 13 Nov 2017 |
Conference
Conference | 1st ACM SIGCHI International Workshop on Investigating Social Interactions with Artificial Agents, ISIAA 2017 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 13/11/17 → 13/11/17 |
Keywords
- Intelligent virtual agents
- User modelling