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 book

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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
Subtitle of host publicationProceedings of the 24th ACM International Conference on Intelligent Virtual Agents
Place of PublicationNew York, NY
Number of pages4
DOIs
Publication statusPublished - 26 Dec 2024
Event24th ACM International Conference on Intelligent Virtual Agents - Glasgow, United Kingdom
Duration: 16 Sept 202419 Sept 2024
https://iva.acm.org/2024/

Publication series

NameProceedings of the ACM International Conference on Intelligent Virtual Agents
PublisherACM

Conference

Conference24th ACM International Conference on Intelligent Virtual Agents
Country/TerritoryUnited Kingdom
CityGlasgow
Period16/09/2419/09/24
Internet address

Funding

Support for this research was provided by EPSRC (AMPER: award number EP/V056131/1, EP/V05564X/1 and designing Conversational Assistants to Reduce Gender Bias: award number EP/T023767/1).

Keywords

  • social agents
  • dementia
  • intelligent virtual agent
  • reminiscence therapy

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