Reference : Conversational Agents Trust Calibration: A User-Centred Perspective to Design
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/51739
Conversational Agents Trust Calibration: A User-Centred Perspective to Design
English
Dubiel, Mateusz mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Daronnat, Sylvain mailto [University of Strathclyde]
Leiva, Luis A. mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
2022
Conversational Agents Trust Calibration: A User-Centred Perspective to Design
Yes
No
International
4th Conference on Conversational User Interfaces (CUI 2022)
from 26-07-2022 to 25-07-2022
Association for Computing Machinery (ACM)
Glasgow
UK
[en] Conversational Agents ; Trust ; Design Ethics
[en] Previous work identified trust as one of the key requirements for adoption and continued use of conversational agents (CAs). Given recent advances in natural language processing and deep learning, it is currently possible to execute simple goal-oriented tasks by using voice. As CAs start to provide a gateway for purchasing products and booking services online, the question of trust and its impact on users’ reliance and agency becomes ever-more pertinent. This paper collates trust-related literature and proposes four design suggestions that are illustrated through example conversations. Our goal is to encourage discussion on ethical design practices to develop CAs that are capable of employing trust-calibration techniques that should, when relevant, reduce the user’s trust in the agent. We hope that our reflections, based on the synthesis of insights from the fields of human-agent interaction, explainable ai, and information retrieval, can serve as a reminder of the dangers of excessive trust in automation and contribute to more user-centred CA design.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/51739
10.1145/3543829.3544518
FnR ; FNR15722813 > Luis Leiva > BANANA > Brainsourcing For Affective Attention Estimation > 01/10/2021 > 30/09/2024 > 2021

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