biostudies-literatureKoren YLeona M. and Harry B. Helmsley Charitable TrustRosetrees TrustNational Insurance Institute of IsraelIsrael Science FoundationNegev Lab in Adi-NegevMarcus Endowment FundConsolidated Anti-Aging FoundationIsraeli Ministry of HealthBorten Family FoundationEuropean Union’s Horizon 2020, Marie Skłodowska-Curie grantRobert Bergida bequest1893-1911https://www.ebi.ac.uk/biostudies/studies/S-EPMC9483483biostudies-literatureUnknown14(8)Socially assistive robots (SARs) have been proposed to assist post-stroke patients in performing their exercise during their rehabilitation process, with the trust in the robot identified as an important factor in human-robot interaction. In the current study, we aimed to identify and characterize factors that influence post-stroke patients' trust in a robot-operated and a computer-operated rehabilitation platform during and after a long-term experience with the platform. We conducted 29 interviews with 16 stroke patients who underwent a long-term rehabilitation process, assisted by either a SAR or a computer interface. The intervention lasted 5-7 weeks per patient, for a total of 229 sessions over 18 months. By using a qualitative research method-extended interviews "in the wild" with strInternational journal of social roboticsExtended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human-Robot or Human-Computer Interactions.PMC94834832166/16754340535/16Koren YLevy-Tzedek SFeingold Polak RfalseExtended Interviews with Stroke Patients Over a Long-Term Rehabilitation Using Human-Robot or Human-Computer Interactions.Socially assistive robots (SARs) have been proposed to assist post-stroke patients in performing their exercise during their rehabilitation process, with the trust in the robot identified as an important factor in human-robot interaction. In the current study, we aimed to identify and characterize factors that influence post-stroke patients' trust in a robot-operated and a computer-operated rehabilitation platform during and after a long-term experience with the platform. We conducted 29 interviews with 16 stroke patients who underwent a long-term rehabilitation process, assisted by either a SAR or a computer interface. The intervention lasted 5-7 weeks per patient, for a total of 229 sessions over 18 months. By using a qualitative research method-extended interviews "in the wild" with str2022-01-01T00:00:00Z20222025-04-18T22:25:08.912Z2024-11-13T05:16:36.191ZS-EPMC94834833615825510.1007/s12369-022-00909-7