• Allison Langer, Ronit Feingold-Polak, Oliver Mueller, Philipp Kellmeyer, and Shelly Levy-Tzedek.
• Recanati School for Community Health Professions, Department of Physical Therapy, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
• Neurosci Biobehav Rev. 2019 Sep 1; 104: 231-239.

AbstractIncorporation 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.

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