Literature DB >> 35874292

Personalised socially assistive robot for cardiac rehabilitation: Critical reflections on long-term interactions in the real world.

Bahar Irfan1,2, Nathalia Céspedes3,4, Jonathan Casas3,5, Emmanuel Senft1,6, Luisa F Gutiérrez7, Mónica Rincon-Roncancio7, Carlos A Cifuentes8, Tony Belpaeme1,9, Marcela Múnera3.   

Abstract

Lack of motivation and low adherence rates are critical concerns of long-term rehabilitation programmes, such as cardiac rehabilitation. Socially assistive robots are known to be effective in improving motivation in therapy. However, over longer durations, generic and repetitive behaviours by the robot often result in a decrease in motivation and engagement, which can be overcome by personalising the interaction, such as recognising users, addressing them with their name, and providing feedback on their progress and adherence. We carried out a real-world clinical study, lasting 2.5 years with 43 patients to evaluate the effects of using a robot and personalisation in cardiac rehabilitation. Due to dropouts and other factors, 26 patients completed the programme. The results derived from these patients suggest that robots facilitate motivation and adherence, enable prompt detection of critical conditions by clinicians, and improve the cardiovascular functioning of the patients. Personalisation is further beneficial when providing high-intensity training, eliciting and maintaining engagement (as measured through gaze and social interactions) and motivation throughout the programme. However, relying on full autonomy for personalisation in a real-world environment resulted in sensor and user recognition failures, which caused negative user perceptions and lowered the perceived utility of the robot. Nonetheless, personalisation was positively perceived, suggesting that potential drawbacks need to be weighed against various benefits of the personalised interaction.
© The Author(s), under exclusive licence to Springer Nature B.V. 2022.

Entities:  

Keywords:  Cardiac rehabilitation; Human–robot interaction; Long-term interaction; Personalisation in social robots; Real-world study; Socially assistive robotics

Year:  2022        PMID: 35874292      PMCID: PMC9294801          DOI: 10.1007/s11257-022-09323-0

Source DB:  PubMed          Journal:  User Model User-adapt Interact        ISSN: 0924-1868            Impact factor:   4.230


  35 in total

Review 1.  A critical review of the concept of patient motivation in the literature on physical rehabilitation.

Authors:  N Maclean; P Pound
Journal:  Soc Sci Med       Date:  2000-02       Impact factor: 4.634

2.  Socially assistive robotics for stroke and mild TBI rehabilitation.

Authors:  Maja Matarić; Adriana Tapus; Carolee Winstein; Jon Eriksson
Journal:  Stud Health Technol Inform       Date:  2009

3.  Relationship between cardiac rehabilitation and long-term risks of death and myocardial infarction among elderly Medicare beneficiaries.

Authors:  Bradley G Hammill; Lesley H Curtis; Kevin A Schulman; David J Whellan
Journal:  Circulation       Date:  2009-12-21       Impact factor: 29.690

4.  A Socially Assistive Robot for Long-Term Cardiac Rehabilitation in the Real World.

Authors:  Nathalia Céspedes; Bahar Irfan; Emmanuel Senft; Carlos A Cifuentes; Luisa F Gutierrez; Mónica Rincon-Roncancio; Tony Belpaeme; Marcela Múnera
Journal:  Front Neurorobot       Date:  2021-03-16       Impact factor: 2.650

Review 5.  Cardiac rehabilitation in the United Kingdom.

Authors:  H Bethell; R Lewin; H Dalal
Journal:  Heart       Date:  2008-01-20       Impact factor: 5.994

6.  Using a robot to personalise health education for children with diabetes type 1: a pilot study.

Authors:  Olivier A Blanson Henkemans; Bert P B Bierman; Joris Janssen; Mark A Neerincx; Rosemarijn Looije; Hanneke van der Bosch; Jeanine A M van der Giessen
Journal:  Patient Educ Couns       Date:  2013-05-16

7.  Using Robots at Home to Support Patients With Chronic Obstructive Pulmonary Disease: Pilot Randomized Controlled Trial.

Authors:  Elizabeth Broadbent; Jeff Garrett; Nicola Jepsen; Vickie Li Ogilvie; Ho Seok Ahn; Hayley Robinson; Kathryn Peri; Ngaire Kerse; Paul Rouse; Avinesh Pillai; Bruce MacDonald
Journal:  J Med Internet Res       Date:  2018-02-13       Impact factor: 5.428

8.  Cardiac Rehabilitation Availability and Density around the Globe.

Authors:  Karam Turk-Adawi; Marta Supervia; Francisco Lopez-Jimenez; Ella Pesah; Rongjing Ding; Raquel R Britto; Birna Bjarnason-Wehrens; Wayne Derman; Ana Abreu; Abraham S Babu; Claudia Anchique Santos; Seng Khiong Jong; Lucky Cuenza; Tee Joo Yeo; Dawn Scantlebury; Karl Andersen; Graciela Gonzalez; Vojislav Giga; Dusko Vulic; Eleonora Vataman; Jacqueline Cliff; Evangelia Kouidi; Ilker Yagci; Chul Kim; Briseida Benaim; Eduardo Rivas Estany; Rosalia Fernandez; Basuni Radi; Dan Gaita; Attila Simon; Ssu-Yuan Chen; Brendon Roxburgh; Juan Castillo Martin; Lela Maskhulia; Gerard Burdiat; Richard Salmon; Hermes Lomelí; Masoumeh Sadeghi; Eliska Sovova; Arto Hautala; Egle Tamuleviciute-Prasciene; Marco Ambrosetti; Lis Neubeck; Elad Asher; Hareld Kemps; Zbigniew Eysymontt; Stefan Farsky; Jo Hayward; Eva Prescott; Susan Dawkes; Claudio Santibanez; Cecilia Zeballos; Bruno Pavy; Anna Kiessling; Nizal Sarrafzadegan; Carolyn Baer; Randal Thomas; Dayi Hu; Sherry L Grace
Journal:  EClinicalMedicine       Date:  2019-07-03

Review 9.  Engagement in Human-Agent Interaction: An Overview.

Authors:  Catharine Oertel; Ginevra Castellano; Mohamed Chetouani; Jauwairia Nasir; Mohammad Obaid; Catherine Pelachaud; Christopher Peters
Journal:  Front Robot AI       Date:  2020-08-04

10.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

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