Documentation, Informaiton & Knowledge ›› 2023, Vol. 40 ›› Issue (2): 29-39.doi: 10.13366/j.dik.2023.02.029

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How to Improve Users Social Presence by Social Robots? The Role of Sticker’s Emotional Valence in Human-AI Conversation Interaction

DENG Jun, YI Xinyan, FU Shiting   

  • Online:2023-03-10 Published:2023-05-09
  • Contact: Correspondence should be addressed to FU Shiting, Email: fushiting@whu.edu.cn, ORCID: 0000-0002-5636-7931
  • Supported by:
    This is an outcome of the Major Project "Information Service System Restructuring and Application Driven by Human-Centered Artificial Intelligence" (22&ZD325)supported by National Social Science Foundation of China and the Teaching Post Construction Project(WDBZ202234)supported by a grant from "351 Talent Program" for Luojia Young Scholars of Wuhan University.

Abstract: [Purpose/Significance] In the process of human-AI interaction, chatbots can enhance the user experience by using stickers to express the social cues that text can't convey during human-AI conversations. This study aims to reveal the impact of the congruence of the emotional valence of the sticker and the text on users' social presences and social responses. It will improve the anthropomorphism of social robots and facilitate the widespread acceptance and application of robotic services in the future. [Design/Methodology] The study created a simulated human-AI interaction scenario, meanwhile conducted a controlled experiment in a 2(sticker valence: positive/negative)×2(text valence: positive/negative)within-subject design, in which 45 participants were recruited to complete four rounds of conversational tasks with chatbots and then measured their social presences and social responses of users in congruent group and incongruent group of emotional valence of the sticker and the text through questionnaires. [Findings/Conclusion] Compared with the incongruent group, participants in the congruent group experienced stronger social presences during human-AI interactions and performed more positive social responses. Specifically, they were more willing to accept the chatbot's advice as well as had higher trust, satisfaction, and intention to use them. [Originality/Value] It enhances the theoretical foundation of experience studying in human-AI interaction under visual-verbal multi-modal interfaces, makes methodological contributions for human-AI interaction design decisions, and provides practical guidance for the dialogue design of social robots.

Key words: Human-AI interaction, Social robots, Stickers, Emotional valence, Social presence, Social response