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dc.contributor.authorChan, Share Yearnen_US
dc.contributor.authorSebastian, Lydiaen_US
dc.contributor.authorSng, Shermaineen_US
dc.contributor.authorZhang, Jia’Enen_US
dc.identifier.citationChan, S. Y., Sebastian, L., Sng, S. & Zhang, J. (2021). Understanding evaluations of advice from chatbots : an exploration of advice response theory. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractThis study extends Advice Response Theory (ART) to chatbot advisors and compares them to human advisors. We also explore how advice outcomes are affected when the element of uncertainty regarding advisor identity is introduced. Participants (N=443) rated sample advice messages from a human, chatbot or an “unknown” advisor, whereby the advisor could be either human or chatbot. We found that chatbot advisors were perceived less positively than humans which resulted in weaker influences of message content and worse evaluations of advice outcomes. Perceptions of unknown advisors were comparable with humans. Our findings provide insight for the continued use of ART in studying chatbot advisors and highlights the significance that the advisor identity has on advice evaluations.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectSocial sciences::Communicationen_US
dc.titleUnderstanding evaluations of advice from chatbots : an exploration of advice response theoryen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorAndrew Prahlen_US
dc.contributor.schoolWee Kim Wee School of Communication and Informationen_US
dc.description.degreeBachelor of Communication Studiesen_US
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Appears in Collections:WKWSCI Student Reports (FYP/IA/PA/PI/CA)
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