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Usability, User Experience, and Acceptance Evaluation of CAPACITY: A Technological Ecosystem for Remote Follow-Up of Frailty

Authors :
Pérez Rodríguez, Rodrigo
Villalba Mora, Elena
Valdés Aragonés, Myriam
Ferré Grau, Xavier
Moral Martos, Cristian
Mas Romero, Marta
Abizanda Soler, Pedro
Rodríguez Mañas, Leocadio
Pérez Rodríguez, Rodrigo
Villalba Mora, Elena
Valdés Aragonés, Myriam
Ferré Grau, Xavier
Moral Martos, Cristian
Mas Romero, Marta
Abizanda Soler, Pedro
Rodríguez Mañas, Leocadio
Source :
Sensors, ISSN 1424-8220, 2021-09-27, Vol. 21, No. 19
Publication Year :
2021

Abstract

Frailty predisposes older persons to adverse events, and information and communication technologies can play a crucial role to prevent them. CAPACITY provides a means to remotely monitor variables with high predictive power for adverse events, enabling preventative personalized early interventions. This study aims at evaluating the usability, user experience, and acceptance of a novel mobile system to prevent disability. Usability was assessed using the system usability scale (SUS); user experience using the user experience questionnaire (UEQ); and acceptance with the technology acceptance model (TAM) and a customized quantitative questionnaire. Data were collected at baseline (recruitment), and after three and six months of use. Forty-six participants used CAPACITY for six months; nine dropped out, leaving a final sample of 37 subjects. SUS reached a maximum averaged value of 83.68 after six months of use; no statistically significant values have been found to demonstrate that usability improves with use, probably because of a ceiling effect. UEQ, obtained averages scores higher or very close to 2 in all categories. TAM reached a maximum of 51.54 points, showing an improvement trend. Results indicate the success of the participatory methodology, and support user centered design as a key methodology to design technologies for frail older persons. Involving potential end users and giving them voice during the design stage maximizes usability and acceptance.

Details

Database :
OAIster
Journal :
Sensors, ISSN 1424-8220, 2021-09-27, Vol. 21, No. 19
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1432958308
Document Type :
Electronic Resource