Socially Assistive Robotics combined with Artificial Intelligence for ADHD

2021 ◽  
Author(s):  
Federica Amato ◽  
Marianna Di Gregorio ◽  
Clara Monaco ◽  
Monica Sebillo ◽  
Genoveffa Tortora ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Assistive Robotics ◽  
Socially Assistive Robotics

scholarly journals A Survey on Socially Assistive Robotics: Clinicians’ and Patients’ Perception of a Social Robot within Gait Rehabilitation Therapies

2021 ◽  
Vol 11 (6) ◽  
pp. 738
Author(s):  
Denniss Raigoso ◽  
Nathalia Céspedes ◽  
Carlos A. Cifuentes ◽  
Antonio J. del-Ama ◽  
Marcela Múnera
Keyword(s):  
Health Care ◽  
Social Robot ◽  
Assistive Robotics ◽  
Gait Rehabilitation ◽  
Unified Theory ◽  
Positive Perception ◽  
Online Questionnaire ◽  
Socially Assistive Robotics ◽  
Use Of Technology ◽  
The Social

A growing interest in Socially Assistive Robotics in Physical Rehabilitation is currently observed; some of the benefits highlight the capability of a social robot to support and assist rehabilitation procedures. This paper presents a perception study that aimed to evaluate clinicians’ and patients’ perception of a social robot that will be integrated as part of Lokomat therapy. A total of 88 participants were surveyed, employing an online questionnaire based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The participants belong to two health care institutions located in different countries (Colombia and Spain). The results showed an overall positive perception of the social robot (>60% of participants have a positive acceptance). Furthermore, a difference depending on the nature of the user (clinician vs. patient) was found.

Automatic Learning of Cognitive Exercises for Socially Assistive Robotics

2021 ◽  
Author(s):  
Alejandro Suarez-Hernandez ◽  
Antonio Andriella ◽  
Aleksandar Taranovic ◽  
Javier Segovia-Aguas ◽  
Carme Torras ◽  
...  
Keyword(s):  
Assistive Robotics ◽  
Automatic Learning ◽  
Socially Assistive Robotics

scholarly journals Socially Assistive Robotics for Guiding Motor Task Practice

2011 ◽  
Vol 2 (4) ◽  
Author(s):  
Eric Wade ◽  
Avinash Parnandi ◽  
Ross Mead ◽  
Maja Matarić
Keyword(s):  
User Behavior ◽  
Motor Task ◽  
Evaluation Study ◽  
Human Robot Interaction ◽  
Assistive Robotics ◽  
User Preference ◽  
Socially Assistive Robotics ◽  
Post Stroke ◽  
Coaching Styles ◽  
Task Practice

AbstractDue to their quantitative nature, robotic systems are useful tools for systematically augmenting human behavior and performance in dynamic environments, such as therapeutic rehabilitation settings. The efficacy of human-robot interaction (HRI) in these settings will depend on the robot’s coaching style. Our goal was to investigate the influence of robot coaching styles designed to enhance motivation and encouragement on post-stroke individuals during motor task practice. We hypothesized that coaching styles incorporating user performance and preference would be preferred in a therapeutic HRI setting. We designed an evaluation study with seven individuals post stroke. A socially assistive robotics (SAR) system using three different coaching styles guided participants during performance of an upper extremity practice task. User preference was not significantly affected by the different robot coaching styles in our participant sample (H(2) = 2.638, p = 0.267). However, trends indicated differences in preference for the coaching styles. Our results provide insights into the design and use of SAR systems in therapeutic interactions aiming to influence user behavior.

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