TY - GEN
T1 - Interaction with a tele-rehabilitation platform through a natural user interface
T2 - A case study of hip arthroplasty patients
AU - Rybarczyk, Yves
AU - Villarreal, Santiago
AU - González, Mario
AU - Acosta-Vargas, Patricia
AU - Esparza, Danilo
AU - Sanchez-Gordon, Sandra
AU - Calle-Jimenez, Tania
AU - Jadán, Janio
AU - Nunes, Isabel L.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Using a tele-rehabilitation platform for motor recovery obliges the user to interact at a remote distance from the computer. In such a situation, a natural user interface can be used both to record the therapeutic movements performed by the patient, and to navigate in the web application. Nevertheless, it is necessary to assess the user experience to validate the system usability. The present paper describes an experiment to test the usability of a platform designed to enhance the recovery of patients after hip replacement surgery. The user experience is evaluated through several metrics (completion time and usability questionnaire) and the results are related to a sociodemographic questionnaire. A clustering approach is implemented to identify a relationship between the user’s profile and the interaction performance with the platform.
AB - Using a tele-rehabilitation platform for motor recovery obliges the user to interact at a remote distance from the computer. In such a situation, a natural user interface can be used both to record the therapeutic movements performed by the patient, and to navigate in the web application. Nevertheless, it is necessary to assess the user experience to validate the system usability. The present paper describes an experiment to test the usability of a platform designed to enhance the recovery of patients after hip replacement surgery. The user experience is evaluated through several metrics (completion time and usability questionnaire) and the results are related to a sociodemographic questionnaire. A clustering approach is implemented to identify a relationship between the user’s profile and the interaction performance with the platform.
KW - Clustering
KW - Data analysis
KW - Health computing
KW - Kinect
KW - Usability assessment
KW - User experience
UR - http://www.scopus.com/inward/record.url?scp=85049638718&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-94334-3_25
DO - 10.1007/978-3-319-94334-3_25
M3 - Conference contribution
AN - SCOPUS:85049638718
SN - 9783319943336
T3 - Advances in Intelligent Systems and Computing
SP - 246
EP - 256
BT - Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2018 International Conference on Human Factors and Systems Interaction, 2018
A2 - Nunes, Isabel L.
PB - Springer Verlag
ER -