Paper Info
Title
Technology Acceptance and User-Centred Design of Assistive Exoskeletons for Older Adults: A Commentary.
Abstract
Assistive robots are emerging as technologies that enable older adults to perform activities of daily living with autonomy. Exoskeletons are a subset of assistive robots that can support mobility. Perceptions and acceptance of these technologies require understanding in a user-centred design context to ensure optimum experience and adoption by as broad a spectrum of older adults as possible. The adoption and use of assistive robots for activities of daily living (ADL) by older adults is poorly understood. Older adult acceptance of technology is affected by numerous factors, such as perceptions and stigma associated with dependency and ageing. Assistive technology (AT) models provide theoretical frameworks that inform decision-making in relation to assistive devices for people with disabilities. However, technology acceptance models (TAMs) are theoretical explanations of factors that influence why users adopt some technologies and not others. Recent models have emerged specifically describing technology acceptance by older adults. In the context of exoskeleton design, these models could influence design approaches. This article will discuss a selection of TAMs, displaying a chronology that highlights their evolution, and two prioritised TAMs-Almere and the senior technology acceptance model (STAM)-that merit consideration when attempting to understand acceptance and use of assistive robots by older adults.
Year
DOI
Venue
2018
10.3390/robotics7010003
ROBOTICS
Keywords
Field
DocType
assistive robots,technology acceptance,mobility assistance,user-centred design
Activities of daily living,Technology acceptance model,Autonomy,Control engineering,Exoskeleton,Engineering,User centred design,Robot,Perception,Applied psychology,Stigma (botany)
Journal
Volume
Issue
ISSN
7
1.0
2218-6581
Citations 
PageRank 
References 
5
0.82
4
Authors
4
Name
Order
Citations
PageRank
Linda Shore151.15
Valerie Power2152.69
Adam de Eyto372.28
Leonard O'Sullivan4142.63