Sarah the virtual advisor to reduce study stress

Hedieh Ranjbartabar, Deborah Richards, Cat Kutay, Samuel Mascarenhas

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Understanding users could help Intelligent Virtual Agents (IVAs) to provide supportive tailored behaviours. To exhibit appropriate behaviours, the IVA needs to adapt based on features of the human that are important for the current context and the purpose of the agent. Towards creation of a user model that the agent can reason over and adapt accordingly, we have created the "Reduce Study Stress" scenario to identify possible relationships and rules based on personality, character preferences and the emotional state of the user. We measured preferences, helpfulness, rapport and emotional feeling and responses to some of the IVAs dialogue. We found differences in preferences and the emotional feeling reported by participants based on individual differences and groups.

Original languageEnglish
Title of host publication17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1829-1831
Number of pages3
Volume3
ISBN (Electronic)9781450356497
ISBN (Print)9781510868083
Publication statusPublished - 1 Jan 2018
Event17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden
Duration: 10 Jul 201815 Jul 2018

Conference

Conference17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
CountrySweden
CityStockholm
Period10/07/1815/07/18

Keywords

  • Intelligent Virtual Agents
  • User modelling

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  • Cite this

    Ranjbartabar, H., Richards, D., Kutay, C., & Mascarenhas, S. (2018). Sarah the virtual advisor to reduce study stress. In 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 (Vol. 3, pp. 1829-1831). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).