Literature DB >> 31348963

Trust in socially assistive robots: Considerations for use in rehabilitation.

Allison Langer1, Ronit Feingold-Polak1, Oliver Mueller2, Philipp Kellmeyer3, Shelly Levy-Tzedek4.   

Abstract

Incorporation of social robots into rehabilitation calls for understanding what factors affect user motivation and success of the interaction. Trust between the user and the robot has been identified as important in human-robot interaction and in human-human interactions in therapy. Trust has been studied in the context of automation technology, (e.g., autonomous cars), but not in the context of social robots for rehabilitation. In this narrative review, we address the unique patient-clinician-robot triad, and argue that this context calls for specific design features in order to foster trust with the users. We review pertinent methods for measuring trust, and studies demonstrating that culture, prior experience and propensity-to-trust affect to what extent users trust robots. We suggest design guidelines for fostering trust and methods for measuring trust in human-robot interactions in rehabilitation. We stress the need to create measures of trust that are accessible to people who suffer from speech or cognitive impairments. This review is pertinent to researchers, roboticists, and clinicians interested in designing and using social robots for rehabilitation.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  HRI; Rehabilitation; Social robots; Trust

Mesh:

Year:  2019        PMID: 31348963     DOI: 10.1016/j.neubiorev.2019.07.014

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  10 in total

1.  Hellenic Spinal Cord Section of the Hellenic Society of Physical and Rehabilitation Medicine National Congress 2019, "Healthy, and long living after SCI" Proceedings. 13th-15th December 2019, Vellideio, Thessaloniki, Greece.

Authors: 
Journal:  J Musculoskelet Neuronal Interact       Date:  2019-12-01       Impact factor: 2.041

2.  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 3.  Trust in Robots: Challenges and Opportunities.

Authors:  Bing Cai Kok; Harold Soh
Journal:  Curr Robot Rep       Date:  2020-09-03

4.  Human but not robotic gaze facilitates action prediction.

Authors:  Emmanuele Tidoni; Henning Holle; Michele Scandola; Igor Schindler; Loron Hill; Emily S Cross
Journal:  iScience       Date:  2022-05-25

Review 5.  Are friends electric? The benefits and risks of human-robot relationships.

Authors:  Tony J Prescott; Julie M Robillard
Journal:  iScience       Date:  2020-12-26

6.  Is it feasible to use a humanoid robot to promote hand hygiene adherence in a hospital setting?

Authors:  H Worlikar; V Vyas Vadhiraj; Aoife Murray; J O'Connell; C Connolly; J C Walsh; D T O'Keeffe
Journal:  Infect Prev Pract       Date:  2021-11-18

7.  Do People Trust in Robot-Assisted Surgery? Evidence from Europe.

Authors:  Joan Torrent-Sellens; Ana Isabel Jiménez-Zarco; Francesc Saigí-Rubió
Journal:  Int J Environ Res Public Health       Date:  2021-11-28       Impact factor: 3.390

8.  A Socially Assistive Robot for Stroke Patients: Acceptance, Needs, and Concerns of Patients and Informal Caregivers.

Authors:  Ayelet Dembovski; Yael Amitai; Shelly Levy-Tzedek
Journal:  Front Rehabil Sci       Date:  2022-01-25

9.  Extended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human-Robot or Human-Computer Interactions.

Authors:  Yaacov Koren; Ronit Feingold Polak; Shelly Levy-Tzedek
Journal:  Int J Soc Robot       Date:  2022-09-16       Impact factor: 3.802

10.  A robot goes to rehab: a novel gamified system for long-term stroke rehabilitation using a socially assistive robot-methodology and usability testing.

Authors:  Ronit Feingold-Polak; Oren Barzel; Shelly Levy-Tzedek
Journal:  J Neuroeng Rehabil       Date:  2021-07-28       Impact factor: 4.262

  10 in total

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