Barriers and enablers for the deployment of large language model-based conversational robots for older adults: A protocol for a systematic review of qualitative studies.

Journal: PloS one

PMID: 40168400

Abstract

BACKGROUND: Artificial intelligence-powered conversational agents have immense potential to provide social companionship and support for older adults. However, the deployment of large language model (LLM)-based conversational robots for seniors faces various technical, user acceptance, and ethical challenges.

Authors

Ravi Shankar

Studio of Computational Biology & Bioinformatics, The Himalayan Centre for High-throughput Computational Biology, (HiCHiCoB, A BIC supported by DBT, India)CSIR-Institute of Himalayan Bioresource Technology (CSIR-IHBT), Palampur (HP), India.
Anjali Bundele

Medical Affairs - Research Innovation & Enterprise, Alexandra Hospital, National University Health System, Singapore.
Amartya Mukhopadhyay

Department of Medicine and.

Keywords

Aged Artificial Intelligence Communication Humans Language Qualitative Research Robotics Systematic Reviews as Topic

External Resources

View on PubMed Access via DOI PubMed (40168400)

Barriers and enablers for the deployment of large language model-based conversational robots for older adults: A protocol for a systematic review of qualitative studies.

Abstract

Authors

Keywords

External Resources

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