Can chatbot companions alleviate loneliness in autistic users? evaluating digital companions

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Authors: Anna Hollis, Phoebe E. McKenna-Plumley, Raluca Bianca Roman, Gary McKeown
Cited by: 3
References: 110

Abstract

Abstract Autistic adults experience disproportionately high levels of loneliness, often influenced by social environments that are inaccessible or unaccommodating, rather than a lack of social interest. To address this, some individuals have turned to digital tools, such as companion chatbots, which simulate emotionally supportive conversations as an alternative means of connection. This article critically examines the role of chatbots in alleviating loneliness and promoting the well-being of autistic adults. Following a brief overview of chatbot companions’ technologies and current theories of loneliness dimensions, this argument examines whether these technologies truly provide meaningful support for autistic individuals. By analysing chatbots through the lens of methodologies frequently proposed to mitigate loneliness, the paper highlights the benefits of these technologies in conjunction with ethical considerations, emotional risks, and design limitations—particularly when grounded in normative assumptions regarding communication, loneliness, and relationships. It concludes that, although companion chatbots may function as temporary support for companionship, they must be developed in accordance with neurodivergence-affirming principles to effectively alleviate loneliness and avoid further isolation or dependence for autistic users.

Fields of Study & Subjects

Digital Mental Health Interventions AI in Service Interactions Autism Spectrum Disorder Research

Publication details

Journal / source
AI & Society
Publisher
Springer Science and Business Media LLC
Volume
41
Issue
6
Pages
6027–6040
Publication date
2 February 2026
Language
EN