Similarity attracts, or does it? Studying personality-based convergence and sense of engagement with a digital health assistant

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics Pub Date : 2025-03-08 DOI:10.1016/j.tele.2025.102262

Anna Spagnolli , Enrico D’Agostini , Mariavittoria Masotina , Giulia Cenzato , Luciano Gamberini

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引用次数: 0

Abstract

According to the similarity-attraction hypothesis in social psychology, users prefer people like them (or “convergent” with them) in attitudes and behaviors. In this study, we test the similarity-attraction hypothesis on conversational agents (CAs) by measuring if they are more engaging when their perceived personality converges with the users’. We simulated on the Qualtrics platform a textual Digital Health Assistant (DHA) whose style could vary thanks to incorporating specific linguistic cues. The study participants interacted with the DHA variants, assessed their personality, and then rated their engagement. They also assessed their own personality. After correlating engagement and personality scores for each DHA variant, we found no effect of convergence. These results contribute to a better understanding of CA personalization, questioning similarity as a widespread strategy whose high privacy toll might not be compensated by improving the user experience.

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相似吸引人，是吗？研究基于个性的融合和数字健康助理的参与感

根据社会心理学中的相似-吸引假说，用户更喜欢在态度和行为上与自己相似（或与自己“趋同”）的人。在这项研究中，我们通过测量当会话代理（ca）的感知人格与用户的感知人格趋同时，他们是否更有吸引力，来测试会话代理（ca）的相似性-吸引力假设。我们在Qualtrics平台上模拟了一个文本数字健康助手（DHA），其风格可能会因结合特定的语言线索而变化。研究参与者与DHA变体互动，评估他们的个性，然后评估他们的参与度。他们还评估了自己的性格。在将每个DHA变体的敬业度和个性得分相关联后，我们发现没有趋同效应。这些结果有助于更好地理解CA个性化，质疑相似性作为一种广泛的策略，其高昂的隐私代价可能无法通过改进用户体验来补偿。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.