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Can AI alleviate loneliness? The role of psychological closeness, co-presence and enjoyment in digital workout environment

  • Ying Feng
  • , Jun-Hwa Cheah
  • , Tippayanet Sorosrungruang
  • , Jie Meng
  • , Senmao Xia

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Purpose: This study examines whether and how AI fitness instructors can foster psychological closeness and the alleviation of loneliness compared to human instructors.

Design/methodology/approach: The study involves 592 participants in online fitness environments and employs a quasi-experimental design. Data are subsequently analyzed using variance-based structural equation modeling.

Findings: Human instructors have a more pronounced positive effect on psychological closeness, resulting in the alleviation of loneliness. However, AI instructors also demonstrate potential to foster emotional connections, particularly when there is a high level of co-presence and perceived enjoyment. Co-presence and perceived enjoyment reduce the psychological gap between human and AI instructors, amplifying the positive effects of psychological closeness on alleviating loneliness.

Research limitations/implications: This study relies on a quasi-experimental design and short-term exposure to AI fitness instructors, which may limit causal inference and the generalizability of the findings to long-term human–AI relationships.

Practical implications: The findings highlight practical implications for designing AI-driven platforms in fitness, healthcare and education to enhance emotional well-being and alleviate loneliness through personalized experiences.

Originality/value: This study advances the literature on human–AI interaction by empirically demonstrating how AI instructors can foster psychological closeness and alleviate loneliness in digital fitness contexts. By integrating psychological closeness, co-presence and perceived enjoyment within a unified framework, the research extends social presence and Computer as Social Actor perspectives to AI-mediated well-being outcomes. The findings offer novel insights into how AI systems can be designed to narrow the psychological gap between human and artificial agents.
Original languageEnglish
Pages (from-to)926-946
Number of pages21
JournalInternet Research
Volume36
Issue number3
DOIs
Publication statusPublished - 19 May 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • AI agents
  • Co-presence
  • Consumer well-being
  • Digital workout
  • Enjoyment
  • Human–agent interaction
  • Loneliness
  • Psychological closeness

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