Large language model-supported companion robots and late-life loneliness: A critical reappraisal of relational AI in cross-cultural care

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Wita Septiani Rahmaputri, Veno Dwi Krisnanda, Punaji Setyosari

2026 International Psychogeriatrics Letter Cited by 0 SDG 9SDG 16SDG 17 Quartile

Abstract

The growing use of large language model-supported companion robots in later-life care warrants closer scrutiny beyond conversational performance alone. While the original cross-cultural study offers valuable qualitative insights from the United Kingdom and Japan, its findings also expose unresolved questions regarding cross-cultural generalisability, sustained relational value, and the ethical implications of embedding generative AI in companionship technologies. Meaningful support for loneliness in older adults cannot be inferred from dialogue fluency alone, because loneliness is a multidimensional condition shaped by social context, identity, and care environment. This commentary therefore argues for a more context-sensitive and longitudinal research agenda that prioritises adaptive memory, culturally attuned interaction design, and human oversight within hybrid care models. By reframing companion robots as supportive tools rather than substitutes for human relationships, the discussion advances a critical perspective on how relational AI should be developed, evaluated, and governed in psychogeriatric care. © 2026 The Author(s). Published by Elsevier Inc. on behalf of International Psychogeriatric Association. This is an open access article under the CC BY license. http://creativecommons.org/licenses/by/4.0/

Affiliations

Departement Indonesian Language and Literature Education, Faculty of Languages and Arts, Universitas Negeri Jakarta, Jakarta, Indonesia; Departement Guidance and Counseling, Faculty of Education, Universitas Indraprasta PGRI, Jakarta, Indonesia; Departement of Educational Technology, Faculty of Education, Universitas Negeri Malang, Malang, Indonesia

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