research-article

User Expectations of Conversational Chatbots Based on Online Reviews

Authors:

Ekaterina Svikhnushina,

Alexandru Placinta,

Pearl PuAuthors Info & Claims

DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference

Pages 1481 - 1491

https://doi.org/10.1145/3461778.3462125

Published: 28 June 2021 Publication History

Abstract

Open-domain chatbots that can engage in a conversation on any topic received significant attention in the last several years, which opened opportunities for studying user interaction with them. Drawing from reviews of chatbots posted on Google Play, we explore user experience and expectations of these agents in a mixed-method study. Results of statistical analysis reveal which social qualities of chatbots are the most significant for user satisfaction. Further, we employ natural language processing and qualitative methods to identify how users wish their chatbots to evolve in the future. While currently users mostly value the entertaining component of their experience, their expectations call for more human-like behavior of chatbots. The most prominent expectations include chatbots’ abilities to treat and express emotions and be more attentive to the user. Based on these findings, we conclude with design implications, discussing the directions for developing social skills of open-domain chatbots.

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Cited By

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Rashik MJasim MKucher KSarvghad AMahyar N(2024)Beyond Text and Speech in Conversational Agents: Mapping the Design Space of AvatarsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661563(1875-1894)Online publication date: 1-Jul-2024
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cover image ACM Conferences

DIS '21: Proceedings of the 2021 ACM Designing Interactive Systems Conference

June 2021

2082 pages

ISBN:9781450384766

DOI:10.1145/3461778

Editors:
Wendy Ju
Jacobs Technion-Cornell Institute at Cornell Tech
,
Lora Oehlberg
University of Calgary
,
Sean Follmer
Stanford University
,
Sarah Fox
Carnegie Mellon University
,
Stacey Kuznetsov
Arizona State University

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Published: 28 June 2021

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DIS '21: Designing Interactive Systems Conference 2021

June 28 - July 2, 2021

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Cited By

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https://dl.acm.org/doi/10.1145/3678884.3681909
Rashik MJasim MKucher KSarvghad AMahyar N(2024)Beyond Text and Speech in Conversational Agents: Mapping the Design Space of AvatarsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661563(1875-1894)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661563
Shin DWang LHsieh G(2024)From Paper to Card: Transforming Design Implications with Generative AIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642266(1-15)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642266
Karthikeya MAnand S(2024)User Feedback Module for Women Self Help Group Chatbot for Increased Usability2024 5th International Conference for Emerging Technology (INCET)10.1109/INCET61516.2024.10593339(1-7)Online publication date: 24-May-2024
https://doi.org/10.1109/INCET61516.2024.10593339
Kusal SPatil SChoudrie JKotecha KVora D(2024)Transfer learning for emotion detection in conversational text: a hybrid deep learning approach with pre-trained embeddingsInternational Journal of Information Technology10.1007/s41870-024-02027-1Online publication date: 3-Jul-2024
https://doi.org/10.1007/s41870-024-02027-1
Huțul TPopescu AKarner‐Huțuleac AHolman AHuțul A(2024)Who's willing to lay on the virtual couch? Attitudes, anthropomorphism and need for human interaction as factors of intentions to use chatbots for psychotherapyCounselling and Psychotherapy Research10.1002/capr.12794Online publication date: 24-Jun-2024
https://doi.org/10.1002/capr.12794
de Sá Siqueira MMüller BBosse T(2023)When Do We Accept Mistakes from Chatbots? The Impact of Human-Like Communication on User Experience in Chatbots That Make MistakesInternational Journal of Human–Computer Interaction10.1080/10447318.2023.217515840:11(2862-2872)Online publication date: 16-Feb-2023
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Nicolescu LTudorache M(2022)Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature ReviewElectronics10.3390/electronics1110157911:10(1579)Online publication date: 15-May-2022
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Chaves AEgbert JHocking TDoerry EGerosa M(2022)Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant ChatbotsACM Transactions on Computer-Human Interaction10.1145/348719329:2(1-38)Online publication date: 16-Jan-2022
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