Abstract

Currently, Social Assistive Robotics (SAR) is widely explored in different areas and scenarios. In cardiac rehabilitation, SAR has been recently implemented as a tool to improve the quality of the procedures and support patients to boost their performance. As cardiac rehabilitation comprises numerous sessions, such systems must guarantee to be effective in the long term. Therefore, to achieve this goal, it is important to understand how users, namely patients and clinicians who mostly know the needs and the therapy environment, perceive this technology. In this context, this paper presents the assessment of the attitudes towards a social robot in order to evaluate the expectation of potential new users, and perception of users who interacted with the social robot during a period of 18 weeks performing cardiac rehabilitation. A total of 43 participants (28 patients and 15 clinicians) were included in the study, and acceptance and perception factors were evaluated through a modified UTAUT questionnaire model and open discussion sessions. Results show that 75% of patients have positive thoughts regarding the usefulness, utility, safety, and trust perceived of a social robot, and 80% of clinicians consider that the robot is a useful tool for cardiac rehabilitation. Similarly, a more positive perception was noticed after the users interacted with the robot. Furthermore, this perception study allows the enhancement of the social model of interaction in the future, aiming to provide a more natural interaction trough personalized features, increasing social abilities and engagement of the users during the therapy.

Highlights

  • The design and deployment of Socially Assistive Robotics (SAR) in healthcare and rehabilitation have increased in the last years [1]

  • The perception assessment for patients was completed by 28 participants

  • Taking into account that this study considers a long-term interaction with a social assistive robot, several constructs were evaluated so as to know the opinion and the future requirements of the platform with the aim of improving the performance and interaction between users and the robot

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Summary

Introduction

The design and deployment of Socially Assistive Robotics (SAR) in healthcare and rehabilitation have increased in the last years [1]. Different areas have been explored from this robotics approach (e.g., stroke rehabilitation [2], autism [3], mental healthcare [4], elderly care [5], cardiac rehabilitation [6], among others) Most of these applications have shown promising results, where people feel encouraged and motivated to work along with robots in healthcare and rehabilitation environments [2,7]. In 2017, it was reported that a total of 17.5 millions of deaths caused by CVDs, representing 31% of all deaths in the world [19] Aiming to reduce this problematic, different clinics and rehabilitation centers provide cardiac rehabilitation (CR) programs.

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