ElliQ, an AI-Driven Social Robot to Alleviate Loneliness: Progress and Lessons Learned.

Loneliness older adults robots

Journal

JAR life
ISSN: 2534-773X
Titre abrégé: JAR Life
Pays: France
ID NLM: 9918299586506676

Informations de publication

Date de publication:
2024
Historique:
received: 02 02 2024
accepted: 20 02 2024
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 7 3 2024
Statut: epublish

Résumé

Loneliness is a significant issue in older adults and can increase the risk of morbidity and mortality. To present the development of ElliQ, a proactive, AI-driven social robot with multiple social and health coaching functions specifically designed to address loneliness and support older people. ElliQ, a consumer robot with a friendly appearance, uses voice, sounds, light, and buttons through a touch screen to facilitate conversation, music, video calls, well-being assessments, stress reduction, cognitive games, and health reminders. The robot was deployed by 15 government agencies in the USA. Initial experience suggests it is not only highly engaging for older people but may be able to improve their quality of life and reduce loneliness. In addition, the development of a weekly report that patients can share with their clinicians to allow better integration into routine care is described. This paper describes the development and real-world implementation of this product innovation and discusses challenges encountered and future directions.

Sections du résumé

Background UNASSIGNED
Loneliness is a significant issue in older adults and can increase the risk of morbidity and mortality.
Objective UNASSIGNED
To present the development of ElliQ, a proactive, AI-driven social robot with multiple social and health coaching functions specifically designed to address loneliness and support older people.
Development/Implementation UNASSIGNED
ElliQ, a consumer robot with a friendly appearance, uses voice, sounds, light, and buttons through a touch screen to facilitate conversation, music, video calls, well-being assessments, stress reduction, cognitive games, and health reminders. The robot was deployed by 15 government agencies in the USA. Initial experience suggests it is not only highly engaging for older people but may be able to improve their quality of life and reduce loneliness. In addition, the development of a weekly report that patients can share with their clinicians to allow better integration into routine care is described.
Conclusion UNASSIGNED
This paper describes the development and real-world implementation of this product innovation and discusses challenges encountered and future directions.

Identifiants

pubmed: 38449726
doi: 10.14283/jarlife.2024.2
pmc: PMC10917141
doi:

Types de publication

Journal Article

Langues

eng

Pagination

22-28

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

DS is the CEO and co-founder of Intuition Robotics, which developed ElliQ. GI and GC are employees of Intuition Robotics. KL is a former employee of Soul Machines Ltd (an AI company that makes digital humans), and EB is a consultant to Soul Machines Ltd. EB, PMD, and SB are co-developers of the COBOT scale. EB, KL, SB, MC and PMD have no financial relationship with Intuition Robotics. PMD has received grants, advisory fees and/ or stock from other biotechnology companies for unrelated projects and serves on the boards of health systems and advocacy groups.

Auteurs

E Broadbent (E)

Department of Psychological Medicine, the University of Auckland, New Zealand.

K Loveys (K)

Department of Psychological Medicine, the University of Auckland, New Zealand.

G Ilan (G)

Intuition Robotics, USA.

G Chen (G)

Intuition Robotics, USA.

M M Chilukuri (MM)

Durham Family Medicine, Duke University School of Medicine, USA.

S G Boardman (SG)

Weill Cornell Medical College, USA.

P M Doraiswamy (PM)

Department of Psychiatry and the Center for the Study of Aging, Duke University, USA.

D Skuler (D)

Intuition Robotics, USA.

Classifications MeSH