Case study in choosing a graphical character to support reminiscence therapy for those living with dementia

Matthew Aylett, Katerina Pappa, Mei Yii Lim, Ruth Aylett, Bruce Wilson, Mario Parra

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

Abstract

The present study describes the process employed to identify a suitable intelligent virtual agent (IVA) for the AMPER App supporting reminiscence therapy for those living with dementia through the use of a facilitating agent. This included three distinct phases: 1) co-creation with project stakeholders and identification of a set of desirable IVA traits; 2) a blind internal team rating process to select a subset from available IVAs; 3) a character survey with healthy older adults to select a final 4 IVAs (2 male, 2 female). We analyse the results, assess inter-subject agreement, and suggest guidelines for IVA selection.
Original languageEnglish
Title of host publicationIVA '24: Proceedings of the 24th ACM International Conference on Intelligent Virtual Agents
PublisherAssociation for Computing Machinery
ISBN (Print)9798400706257
DOIs
Publication statusPublished - 16 Sept 2024
Event24th ACM International Conference on Intelligent Virtual Agents 2024 - Glasgow, United Kingdom
Duration: 16 Sept 202419 Sept 2024

Conference

Conference24th ACM International Conference on Intelligent Virtual Agents 2024
Abbreviated titleIVA '24
Country/TerritoryUnited Kingdom
CityGlasgow
Period16/09/2419/09/24

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