Self-disclosure to conversational AI: a literature review, emergent framework, and directions for future research

Q1 Social Sciences Personal and Ubiquitous Computing Pub Date : 2024-08-31 DOI:10.1007/s00779-024-01823-7
Hashai Papneja, Nikhil Yadav
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Abstract

Conversational technologies have become increasingly prevalent, with interactions becoming more and more personalized. This paper reviews literature on the phenomenon of self-disclosure to conversational technologies. Five types of factors emerge as influencing self-disclosure: interface modality, conversational factors, user characteristics, mediating mechanisms, and contextual factors. We describe each type of factor, cover findings from the literature, present the framework of factors influencing self-disclosure that thus emerges, and put forth pertinent questions for future research on self-disclosure to conversational technologies.

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对话式人工智能的自我披露:文献综述、新兴框架和未来研究方向
对话技术日益普及,互动也越来越个性化。本文回顾了有关对话技术自我披露现象的文献。影响自我披露的因素有五类:界面模式、会话因素、用户特征、中介机制和情境因素。我们描述了每一类因素,介绍了文献中的研究结果,提出了由此产生的影响自我披露的因素框架,并为会话技术自我披露的未来研究提出了相关问题。
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来源期刊
Personal and Ubiquitous Computing
Personal and Ubiquitous Computing 工程技术-电信学
CiteScore
6.60
自引率
0.00%
发文量
35
审稿时长
6-12 weeks
期刊介绍: Personal and Ubiquitous Computing publishes peer-reviewed multidisciplinary research on personal and ubiquitous technologies and services. The journal provides a global perspective on new developments in research in areas including user experience for advanced digital technologies, the Internet of Things, big data, social technologies and mobile and wearable devices.
期刊最新文献
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