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Extroversion-Introversion Design of Social Robots: The Role of the Mental Model Attribution Process

Authors

Oberhofer, Viviana M
Seeber, Isabella
Waizenegger, Lena

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Item type

Journal Article

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Journal Title

Journal ISSN

Volume Title

Publisher

Springer Science and Business Media LLC

Abstract

Social robots are becoming more autonomous and they are likely to soon join organizational teams as active team members. As such, their personality design—specifically, their extroversion-introversion personality—matters, as it shapes individuals’ affective reactions. Yet it remains unclear through which underlying cognitive processes robot personality influences task satisfaction in team contexts. Past research efforts to understand these processes resulted in dispersed and conflicting theories. This study proposes a parsimonious conceptual model integrating theories on anthropomorphism and the theory of mind: the mental model attribution process (MMAP). Based on a between-subject animated video vignette study with 401 crowd workers, the MMAP explains how robot extroversion-introversion cues affect task satisfaction. The results show that extroverted social robots elicit higher task satisfaction than introverted robots. This effect is explained by increased anthropomorphism, leading to more agency and experience inference, and higher ascribed robot empathy. By integrating research on anthropomorphism, theory of mind, and robot personality design, this study contributes a parsimonious, empirically testable conceptual model for understanding affective reactions to social robots in a team context.

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Keywords

46 Information and Computing Sciences, 4608 Human-Centred Computing, Behavioral and Social Science, Mental Health, 3 Good Health and Well Being, 1503 Business and Management, Information Systems, 3503 Business systems in context, 3801 Applied economics, 4609 Information systems, Anthropomorphism, Empathy, Human-agent team, Mental model attribution process, Extroversion, Satisfaction

Source

Group Decision and Negotiation, ISSN: 0926-2644 (Print); 1572-9907 (Online), Springer Science and Business Media LLC, 35(2), 33-. doi: 10.1007/s10726-026-09990-z

Rights statement

Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.