kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rock your story: Effects of adapting personality behavior through body movement on story recall
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0003-0340-3860
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0002-7257-0761
2019 (English)In: HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction, Association for Computing Machinery (ACM), 2019, p. 241-243Conference paper, Published paper (Refereed)
Abstract [en]

In order to design social agents for long term interactions, it is important to enable them to adapt to the users. In this paper, we chose personality as a medium for adaptation. We conducted a study with 20 participants who watched a story presented by a virtual character in one of two conditions: extroverted or introverted. The study aimed at assessing the impacts of matching the personality of the user with the virtual character through body language on the likability of the character and the information recall of the story. Our findings do not appear to coincide with theoretical expectations since the extroverted character had higher ratings of likability regardless of the personality of the user. Results have also shown a marginal positive effect of the encounter with the introverted character in terms of memory recall. We discuss the important implications that these results may have in the future for human agent interaction design.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019. p. 241-243
Keywords [en]
Adaptation, Body movement, Personality, Similarity, Social agents
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-266869DOI: 10.1145/3349537.3352779ISI: 000719339300043Scopus ID: 2-s2.0-85077134817OAI: oai:DiVA.org:kth-266869DiVA, id: diva2:1388340
Conference
7th International Conference on Human-Agent Interaction, HAI 2019; Musubiwaza-kan of Kyoto Sangyo University, Kyoto; Japan; 6 October 2019 through 10 October 2019;
Note

QC 20200124

Part of ISBN 9781450369220

Available from: 2020-01-24 Created: 2020-01-24 Last updated: 2024-10-21Bibliographically approved

Open Access in DiVA

fulltext(387 kB)407 downloads
File information
File name FULLTEXT01.pdfFile size 387 kBChecksum SHA-512
76c4f760286026353b999f731c8cf9364ac2623443f3bdae25804108d9d4d4e388b9925ad50fa5d3cc73677748cc1a79fcc76ca3514c82f1363fa80643622038
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Elgarf, MahaPeters, Christopher

Search in DiVA

By author/editor
Elgarf, MahaPeters, Christopher
By organisation
Computational Science and Technology (CST)
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 407 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 304 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf