TY - JOUR
T1 - Usability issues of clinical and research applications of virtual reality in older people: A systematic review
AU - Tuena, Cosimo
AU - Pedroli, Elisa
AU - Trimarchi, Pietro Davide
AU - Gallucci, Alessia
AU - Chiappini, Mattia
AU - Goulene, Karine
AU - Gaggioli, Andrea
AU - Riva, Giuseppe
AU - Lattanzio, Fabrizia
AU - Giunco, Fabrizio
AU - Stramba-Badiale, Marco
PY - 2020
Y1 - 2020
N2 - Aging is a condition that may be characterized by a decline in physical, sensory, and mental capacities, while increased morbidity and multimorbidity may be associated with disability. A wide range of clinical conditions (e.g., frailty, mild cognitive impairment, metabolic syndrome) and age-related diseases (e.g., Alzheimer’s and Parkinson’s disease, cancer, sarcopenia, cardiovascular and respiratory diseases) affect older people. Virtual reality (VR) is a novel and promising tool for assessment and rehabilitation in older people. Usability is a crucial factor that must be considered when designing virtual systems for medicine. We conducted a systematic review with Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines concerning the usability of VR clinical systems in aging and provided suggestions to structure usability piloting. Findings show that different populations of older people have been recruited to mainly assess usability of non-immersive VR, with particular attention paid to motor/physical rehabilitation. Mixed approach (qualitative and quantitative tools together) is the preferred methodology; technology acceptance models are the most applied theoretical frameworks, however senior adapted models are the best within this context. Despite minor interaction issues and bugs, virtual systems are rated as usable and feasible. We encourage usability and user experience pilot studies to ameliorate interaction and improve acceptance and use of VR clinical applications in older people with the aid of suggestions (VR-USOP) provided by our analysis.
AB - Aging is a condition that may be characterized by a decline in physical, sensory, and mental capacities, while increased morbidity and multimorbidity may be associated with disability. A wide range of clinical conditions (e.g., frailty, mild cognitive impairment, metabolic syndrome) and age-related diseases (e.g., Alzheimer’s and Parkinson’s disease, cancer, sarcopenia, cardiovascular and respiratory diseases) affect older people. Virtual reality (VR) is a novel and promising tool for assessment and rehabilitation in older people. Usability is a crucial factor that must be considered when designing virtual systems for medicine. We conducted a systematic review with Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines concerning the usability of VR clinical systems in aging and provided suggestions to structure usability piloting. Findings show that different populations of older people have been recruited to mainly assess usability of non-immersive VR, with particular attention paid to motor/physical rehabilitation. Mixed approach (qualitative and quantitative tools together) is the preferred methodology; technology acceptance models are the most applied theoretical frameworks, however senior adapted models are the best within this context. Despite minor interaction issues and bugs, virtual systems are rated as usable and feasible. We encourage usability and user experience pilot studies to ameliorate interaction and improve acceptance and use of VR clinical applications in older people with the aid of suggestions (VR-USOP) provided by our analysis.
KW - Aging
KW - Assessment
KW - Rehabilitation
KW - Usability
KW - User-experience
KW - Virtual reality
KW - Aging
KW - Assessment
KW - Rehabilitation
KW - Usability
KW - User-experience
KW - Virtual reality
UR - http://hdl.handle.net/10807/179052
UR - https://www.frontiersin.org/articles/10.3389/fnhum.2020.00093/full
U2 - 10.3389/fnhum.2020.00093
DO - 10.3389/fnhum.2020.00093
M3 - Article
SN - 1662-5161
VL - 14
SP - 1
EP - 19
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
ER -