User-Centered Design of Socially Assistive Robotic Combined with Non-Immersive Virtual Reality-based Dyadic Activities for Older Adults Residing in Long Term Care Facilities
Ritam Ghosh, Nibraas Khan, Miroslava Migovich, Judith A. Tate, Cathy, Maxwell, Emily Latshaw, Paul Newhouse, Douglas W. Scharre, Alai Tan, Kelley, Colopietro, Lorraine C. Mion, Nilanjan Sarkar

TL;DR
This study develops and tests a user-centered system combining socially assistive robots and virtual reality to engage older adults in long-term care, improving acceptability and usability through iterative design.
Contribution
It introduces a novel SAR-VR framework with stakeholder-driven activity design, demonstrating effective integration for older adults in LTC settings.
Findings
Participant approval increased with iterative design
Caregivers could set up the system with minimal help
System was generally accepted and usable by staff
Abstract
Apathy impairs the quality of life for older adults and their care providers. While few pharmacological remedies exist, current non-pharmacologic approaches are resource intensive. To address these concerns, this study utilizes a user-centered design (UCD) process to develop and test a set of dyadic activities that provide physical, cognitive, and social stimuli to older adults residing in long-term care (LTC) communities. Within the design, a novel framework that combines socially assistive robots and non-immersive virtual reality (SAR-VR) emphasizing human-robot interaction (HRI) and human-computer interaction (HCI) is utilized with the roles of the robots being coach and entertainer. An interdisciplinary team of engineers, nurses, and physicians collaborated with an advisory panel comprising LTC activity coordinators, staff, and residents to prototype the activities. The study…
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Taxonomy
TopicsMedical Research and Treatments
