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Chatbot appearance and loneliness trajectories in women with high autistic traits

A randomized eight-week longitudinal experiment testing whether a chatbot's visual appearance changes loneliness over time in women with elevated autistic traits. Seventy-two participants who used the chatbot at least three times a week were assigned to a non-human-appearance or a human-like-appearance version that were otherwise identical in function, dialogue strategy and usage structure. Loneliness was measured at four time points and modelled with linear mixed-effects models; it declined in the non-human condition and stayed flat in the human-like condition.

Publisher

Computers in Human Behavior: Artificial Humans (Elsevier); Toyo University

Published

1 Aug 2026

Added

today

Key Findings

  • The group-by-time interaction was significant: loneliness decreased over eight weeks in the non-human-appearance condition, while the slope in the human-like condition was bounded near zero (95% CI -0.92 to 0.99).
  • Baseline loneliness did not differ between the two groups, so the divergence arose during use rather than from allocation.
  • The two chatbots were identical in dialogue strategy and usage structure, isolating visual anthropomorphism as the manipulated variable.
  • The authors conclude that appearance shapes longer-term interaction outcomes rather than only first impressions, and that for neurodiverse users it is a core design dimension that warrants longitudinal evaluation.

Methodology Notes

Two-arm randomized longitudinal experiment, n = 72 women with high autistic traits, eight weeks of use at a minimum of three sessions per week, loneliness measured at four time points, linear mixed-effects analysis with preregistered directional predictions. Published in the August 2026 issue (volume 9, article 100369); the journal gives month precision only, so the date is set to the first of the month, with the Crossref record created 2026-08-06. Open access under CC BY-NC-ND. ScienceDirect blocks automated fetching from this workspace, so the record was built from the Crossref metadata and the full abstract deposited on OpenAlex; the full text was not read, and the second author's affiliation is not confirmed. Recruitment country and the autistic-trait screening instrument are not stated in the abstract.

Authors

Xiaohan Feng, Jie Fu

Tags

anthropomorphismavatar-designautismlonelinessrandomizedlongitudinalelsevier

Cite This

APA

Xiaohan Feng, Jie Fu. (2026). Chatbot appearance and loneliness trajectories in women with high autistic traits. Computers in Human Behavior: Artificial Humans (Elsevier); Toyo University. https://doi.org/10.1016/j.chbah.2026.100369