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Virtual coaches for older adults' wellbeing: a systematic review

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journal contribution
posted on 27.11.2020, 16:54 by Mira El Kamali, Leonardo Angelini, Maurizio Caon, Francesco Carrino, Christina Röcke, Sabrina Guye, Giovanna Rizzo, Alfonso Mastropietro, Martin Sykora, Suzanne Elayan, Isabelle Kniestedt, Canan Ziylan, Emanuele Lettieri, Omar Abou Khaled, Elena Mugellini
Virtual Coaches, also known as e-coaches, are a disruptive technology in healthcare. Indeed, among other usages, they might provide cost-effective solutions for increasing human wellbeing in different domains, such as physical, nutritional, cognitive, social, and emotional. This paper presents a systematic review of virtual coaches specifically aimed at improving or maintaining older adults' health in the aforementioned domains. Such digital systems assume various forms, from classic apps, to more advanced conversational agents or robots. Fifty-six articles describing a virtual coach for older adults and aimed at improving their wellbeing were identified and further analyzed. In particular, we presented how previous studies defined their virtual coaches, which behavioral change models and techniques they adopted and the overall system architecture, in terms of monitoring solutions, processing methods and modalities for intervention delivery. Our results show that few thorough evaluations of e-coaching systems have been conducted, especially regarding multi-domain coaching approaches. Through our analysis, we identified the wellbeing domains that should be addressed in future studies as well as the most promising behavior change models and techniques and coaching interfaces. Previous work illustrates that older adults often appreciate conversational agents and robots. However, the lack of a multidomain intervention approach in the current literature motivates us to seek to define future solutions.

Funding

European Commission under the Horizon 2020 Programme, SC1-PM-15-2017–Personalized Medicine Topic, under Grant 769643

History

School

  • Business and Economics

Department

  • Business

Published in

IEEE Access

Volume

8

Pages

101884 - 101902

Publisher

IEEE

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

09/05/2020

Publication date

2020-05-21

Copyright date

2020

ISSN

2169-3536

eISSN

2169-3536

Language

en

Depositor

Dr Martin Sykora. Deposit date: 19 November 2020

Licence

Exports

Loughborough Publications

Categories

Licence

Exports