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媒体依赖的影响:用户与聊天机器人之间的情感互动如何影响人类社交?

Impact of media dependence: how emotional interactions between users and chat robots affect human socialization?

作者信息

Yuan Ziying, Cheng Xiaoliang, Duan Yujing

机构信息

College of Communication Science and Arts, Chengdu University of Technology, Chengdu, Sichuan, China.

出版信息

Front Psychol. 2024 Aug 16;15:1388860. doi: 10.3389/fpsyg.2024.1388860. eCollection 2024.

Abstract

In the era of intelligent media, human users and chatbots have established a deep dependency relationship through communication, making media dependence a behavioral foundation that widely permeates human social practice. This article investigates how media dependence affects human social interaction during emotional interactions between human users and chatbots. Based on the theory of media dependence, the existing mature scales of media dependence and interpersonal communication were adapted, and 496 Replika user questionnaires were collected. After screening the validity of the questionnaires, 428 valid questionnaires were obtained. Descriptive statistical analysis, correlation analysis, multiple linear regression analysis, and mediation effect testing were used to analyze the impact of media dependence on human-computer emotional interaction. Results indicate a significant positive correlation between human-chatbot emotional interaction and human user social interaction. Media dependence significantly positively regulates emotional interactions between humans and chatbots. In addition, the social interactions of human users are partially influenced by factors such as user nature, age, education, and income.

摘要

在智能媒体时代,人类用户与聊天机器人通过交流建立了深度依赖关系,使媒体依赖成为广泛渗透于人类社会实践的行为基础。本文研究媒体依赖如何在人类用户与聊天机器人的情感互动中影响人类的社会交往。基于媒体依赖理论,对现有的成熟媒体依赖量表和人际沟通量表进行改编,收集了496份Replika用户问卷。在筛选问卷有效性后,获得428份有效问卷。采用描述性统计分析、相关性分析、多元线性回归分析和中介效应检验来分析媒体依赖对人机情感互动的影响。结果表明,人机情感互动与人类用户的社会交往之间存在显著正相关。媒体依赖显著正向调节人与聊天机器人之间的情感互动。此外,人类用户的社会交往部分受到用户性格、年龄、教育程度和收入等因素的影响。

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