Cited by 12

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Becoming Human: How Perceived Anthropomorphism and Authenticity Influence Romantic Attractiveness of Chat Agents

Ma, Siyu, Koike, Mayu·2025·International Journal of Human–Computer Interaction

Abstract

Social chatbots can provide users with specific social and emotional support, and intimate relationships represent an emerging area for exploration. This research describes the current state of self-disclosure in virtual romantic relationship dialogues. It examines the impact of self-disclosure with different emotions on the romantic attractiveness of virtual agents. Study 1 reveals that virtual romantic relationships are predominantly characterized by chat-based Platonic love, where individuals primarily establish these relationships to fulfill romantic needs. Study 2 highlights that perceived dialogue authenticity and anthropomorphism are vital factors attracting users to virtual agents. In contrast, the emotional category of self-disclosed personal stories in dialogues does not affect the romantic attractiveness of virtual agents. In the design of virtual romantic chatbots, more human-like conversational features, such as diverse emotional expressions, may be considered without necessarily maintaining a perpetually positive service demeanor.

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Crossref · 10.1080/10447318.2025.2481211

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  • Many studies on social AI chatbots strongly underscore their use to meet social needs or perform social functions, including the experience of romantic or para-romantic relationships.

    “Many of the studies on social AI chatbots strongly underscore their use to meet social needs or perform social functions, including the experience of romantic or para-romantic relationships (e.g., Ma & Koike, 2025).”

    From How Do Fans Use AI Social Chatbots? A Multi-Method Exploration of Fan Accounts (2026) · cites this paper as Ma & Koike, 2025

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Metadata

Authors
Ma, S., & Koike, M.
Affiliations
Department of Industrial Engineering and Economics, Institute of Science Tokyo
Venue
International Journal of Human–Computer Interaction
Published
2025-03-27
Volume
41
Issue
22
Pages
14162-14175
ISSN
  • 1044-7318
  • 1532-7590
Cited by
12
References
18
Language
en

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