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Designing for trust: a set of design principles to increase trust in chatbot

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Abstract

Trust is an important factor influencing user acceptance of high-tech products. As the artificial intelligence and natural language processing develop, all kinds of conversational agents (chatbot) have appeared around us. These chatbots are able to provide people with convenient services such as ordering food, stock recommendations, fund diagnostics. However, it is still not clear how to make users feel chatbot trustworthy. In this study, we aimed to explore a set of design principles to build trust between users and conversational agents. Based on extensive research on trust, we proposed five design semantics and 10 design principles, and verified their effectiveness through experiments. The result of experiment suggest that our design principles can improve users’ trust towards chatbot, thus provided guidance and suggestions for designing more trustworthy chatbots in the future.

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Authors and Affiliations

  1. Hithink RoyalFlush Information Network Co., Ltd., HangZhou, 310012, China

    Yunsan Guo, Jian Wang & Zeyu Li

  2. School of Computer Science and Technology, Zhejiang University, Hangzhou, 310007, China

    Runfan Wu

  3. Zhejiang University Zhejiang Key Laboratory of Design and Intelligence and Digital Creativity, International Design Institute, Zhejiang University, Hangzhou, 310027, China

    Lingyun Sun

Authors
  1. Yunsan Guo
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  2. Jian Wang
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  3. Runfan Wu
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  4. Zeyu Li
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  5. Lingyun Sun
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Correspondence to Yunsan Guo.

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Guo, Y., Wang, J., Wu, R. et al. Designing for trust: a set of design principles to increase trust in chatbot. CCF Trans. Pervasive Comp. Interact. 4, 474–481 (2022). https://doi.org/10.1007/s42486-022-00106-5

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  • DOI: https://doi.org/10.1007/s42486-022-00106-5

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