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Communications of the Association for Information Systems

Author ORCID Identifier

Imed Ben Nasr: https://orcid.org/0000-0001-9428-7038

Ngoc Bich Dang: https://orcid.org/0000-0001-6348-5461

Abdullah Albizri: https://orcid.org/0000-0002-6818-2344

Wissal Ben Arfi: https://orcid.org/0000-0002-4076-1731

Abstract

With the world's elderly population growing, the demand for innovative solutions to combat social isolation is becoming increasingly critical. This study addresses this gap using an experimental design, examining how AI-based robots with relational and emotional competence influence users' feelings of loneliness, self-enhancement, and subjective well-being. The findings reveal that high relational competence significantly reduces feelings of loneliness and that emotional competence further increases this effect. Furthermore, the study shows that feelings of reduced loneliness and increased self-enhancement positively affect users' well-being. In particular, the results indicate that AI aversion moderates the influence of relational and emotional competencies on feelings of loneliness, underscoring the importance of user perceptions in the design of assistive technologies. These insights highlight the potential of AI-based robots to improve the quality of life of the elderly, suggesting that improving their relational and emotional abilities can facilitate meaningful social connections and thus foster subjective well-being.

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