JOURNAL ARTICLE

Determinants Affecting Consumer Trust in Communication With AI Chatbots

Jinjie LiLianren WuJiayin QiYuxin ZhangZhiyan WuShuaibo Hu

Year: 2023 Journal:   Journal of Organizational and End User Computing Vol: 35 (1)Pages: 1-24   Publisher: IGI Global

Abstract

This paper summarized the factors that influence consumers' trust in AI chatbots and divided it into chatbot-related factors (expertise, anthropomorphism, responsiveness, and ease of use), company-related factors (perceived risk, brand trust, human support), and consumer-related factors (privacy concerns). This research attempts to explore the mechanism of human-AI chatbots trust formation and answer the question of how to promote consumers' trust in AI chatbots. The results found that the chatbot-related factors (expertise, responsiveness, and anthropomorphism) positively affect consumers' trust in chatbots. The company-related factor (brand trust) positively affects consumers' trust in chatbots, and perceived risk negatively affect consumers' trust in chatbots. Privacy concerns have a moderating effect on company-related factors. This study helps deepen the understanding of human-AI chatbots communication trust, constructs a basic model of human-AI chatbots trust, and provides insights for e-commerce enterprises to improve chatbots and enhance consumer trust.

Keywords:
Chatbot Affect (linguistics) Internet privacy Psychology Business Computer science World Wide Web

Metrics

38
Cited By
9.71
FWCI (Field Weighted Citation Impact)
104
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
Ethics and Social Impacts of AI
Social Sciences →  Social Sciences →  Safety Research
Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science

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