Evaluating the user experience of exercising reaching motions with a robot that predicts desired movement difficulty

Journal of Motor Behavior

Volumn 48, Issue 1, 2016, Pages 31-46

  Shirzad, Navid ^a   Van Der Loos, H F Machiel ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

challenge point; desirable difficulty; machine learning prediction; motor performance; physiological signals; rehabilitation robotics; user engagement

Indexed keywords

CONTROLLED STUDY; EXERCISE; FEMALE; HUMAN; KINESIOTHERAPY; MALE; MOTIVATION; MOVEMENT (PHYSIOLOGY); PROCEDURES; RANDOMIZED CONTROLLED TRIAL; ROBOTICS; YOUNG ADULT;

EXERCISE; EXERCISE THERAPY; FEMALE; HUMANS; MALE; MOTIVATION; MOVEMENT; PHYSICAL EXERTION; ROBOTICS; YOUNG ADULT;

EID: 84955668799     PISSN: 00222895     EISSN: 19401027     Source Type: Journal    
DOI: 10.1080/00222895.2015.1035430     Document Type: Article

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