Understanding evaluations of advice from chatbots : an exploration of advice response theory

This 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...

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Main Authors: Chan, Share Yearn, Sebastian, Lydia, Sng, Shermaine, Zhang, Jia’En
Other Authors: Andrew Prahl
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/147234
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author Chan, Share Yearn
Sebastian, Lydia
Sng, Shermaine
Zhang, Jia’En
author2 Andrew Prahl
author_facet Andrew Prahl
Chan, Share Yearn
Sebastian, Lydia
Sng, Shermaine
Zhang, Jia’En
author_sort Chan, Share Yearn
collection NTU
description This 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.
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spelling ntu-10356/1472342023-03-05T16:16:47Z Understanding evaluations of advice from chatbots : an exploration of advice response theory Chan, Share Yearn Sebastian, Lydia Sng, Shermaine Zhang, Jia’En Andrew Prahl Wee Kim Wee School of Communication and Information andrew.prahl@ntu.edu.sg Social sciences::Communication This 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. Bachelor of Communication Studies 2021-03-31T07:52:03Z 2021-03-31T07:52:03Z 2021 Final Year Project (FYP) Chan, 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. https://hdl.handle.net/10356/147234 https://hdl.handle.net/10356/147234 en SCI2044 application/pdf application/msword Nanyang Technological University
spellingShingle Social sciences::Communication
Chan, Share Yearn
Sebastian, Lydia
Sng, Shermaine
Zhang, Jia’En
Understanding evaluations of advice from chatbots : an exploration of advice response theory
title Understanding evaluations of advice from chatbots : an exploration of advice response theory
title_full Understanding evaluations of advice from chatbots : an exploration of advice response theory
title_fullStr Understanding evaluations of advice from chatbots : an exploration of advice response theory
title_full_unstemmed Understanding evaluations of advice from chatbots : an exploration of advice response theory
title_short Understanding evaluations of advice from chatbots : an exploration of advice response theory
title_sort understanding evaluations of advice from chatbots an exploration of advice response theory
topic Social sciences::Communication
url https://hdl.handle.net/10356/147234
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