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ElliQ, an AI-Driven Social Robot to Alleviate Loneliness: Progress and Lessons Learned.
Broadbent, E; Loveys, K; Ilan, G; Chen, G; Chilukuri, M M; Boardman, S G; Doraiswamy, P M; Skuler, D.
Afiliação
  • Broadbent E; Department of Psychological Medicine, the University of Auckland, New Zealand.
  • Loveys K; Department of Psychological Medicine, the University of Auckland, New Zealand.
  • Ilan G; Intuition Robotics, USA.
  • Chen G; Intuition Robotics, USA.
  • Chilukuri MM; Durham Family Medicine, Duke University School of Medicine, USA.
  • Boardman SG; Weill Cornell Medical College, USA.
  • Doraiswamy PM; Department of Psychiatry and the Center for the Study of Aging, Duke University, USA.
  • Skuler D; Intuition Robotics, USA.
JAR Life ; 13: 22-28, 2024.
Article em En | MEDLINE | ID: mdl-38449726
ABSTRACT

Background:

Loneliness is a significant issue in older adults and can increase the risk of morbidity and mortality.

Objective:

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 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:

This paper describes the development and real-world implementation of this product innovation and discusses challenges encountered and future directions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JAR Life Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JAR Life Ano de publicação: 2024 Tipo de documento: Article