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OakleyIan

Oakley, Ian
Interactions Lab.
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dc.citation.endPage 469 -
dc.citation.number 4 -
dc.citation.startPage 458 -
dc.citation.title INTERACTING WITH COMPUTERS -
dc.citation.volume 27 -
dc.contributor.author Scott, Michelle -
dc.contributor.author Pereira, Lucas -
dc.contributor.author Oakley, Ian -
dc.date.accessioned 2023-12-22T01:08:31Z -
dc.date.available 2023-12-22T01:08:31Z -
dc.date.created 2014-06-19 -
dc.date.issued 2015-07 -
dc.description.abstract Avatars can be employed as a motivational tool, for example, allowing non-verbal communication that can be close to human communication. We describe two lab studies where we presented participants with avatars that communicated verbally via text and visually via expressions. In the first study, participants rated five different categories of captions and corresponding avatars. Results showed that the most persuasive, consistent and trustworthy verbal feedback was given in a humanized form. The second study was an exhaustive forced choice experiment where participants chose the happiest avatar from a pair displayed. Results showed participants found visual avatars more expressive and easier to understand than their verbal counterparts, and that users respond differently when presented with negative or positive emotions. This paper contributes to a better understanding of how to design feedback for expressive avatars. -
dc.identifier.bibliographicCitation INTERACTING WITH COMPUTERS, v.27, no.4, pp.458 - 469 -
dc.identifier.doi 10.1093/iwc/iwu008 -
dc.identifier.issn 0953-5438 -
dc.identifier.scopusid 2-s2.0-84936763223 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/4970 -
dc.identifier.url http://iwc.oxfordjournals.org/content/27/4/458 -
dc.identifier.wosid 000361835100006 -
dc.language 영어 -
dc.publisher Oxford University Press -
dc.title Show Me or Tell Me: Designing Avatars for Feedback -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Computer Science, Cybernetics; Ergonomics -
dc.relation.journalResearchArea Computer Science; Engineering -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor agent-based interaction -
dc.subject.keywordAuthor avatars -
dc.subject.keywordAuthor user studies -
dc.subject.keywordPlus INTRINSIC MOTIVATION -
dc.subject.keywordPlus EMOTIONS -
dc.subject.keywordPlus EXPRESSIONS -
dc.subject.keywordPlus RESPONSES -
dc.subject.keywordPlus BEHAVIOR -
dc.subject.keywordPlus REWARDS -
dc.subject.keywordPlus AGENTS -

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