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Evaluating technology for elders: Towards a measure of attitudes
Anne-Marie O'Neill Burn
School of Health and Social Work
Centre for Research in Public Health and Community Care
Research output
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Doctoral Thesis
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Keyphrases
Elders
100%
Assistive Technology
40%
Walking Aids
30%
User Attitude
20%
Design for Life Cycle
20%
All Ages
10%
Rollator
10%
User-centered Design
10%
Frail Elderly
10%
Design Decisions
10%
Scale Validity
10%
Sex Effect
10%
Academic Research
10%
Potential Gains
10%
Elderly People
10%
Psychometric Scale
10%
Physical Support
10%
Age Differences
10%
Robotic Walker
10%
Iterative Design
10%
Scale Reliability
10%
Visually Impaired
10%
Innovative Technologies
10%
Mobile Phone
10%
World Wide Web
10%
Design Process
10%
Potential Users
10%
Individual Attitudes
10%
Navigational Assistance
10%
Research Application
10%
User Groups
10%
Aging Effect
10%
Independent Mobility
10%
Informed Design
10%
Commercial Research
10%
Carers
10%
Quality of Life
10%
Functional Specification
10%
Day Activities
10%
Inductive Approach
10%
Sex Differences
10%
Computer Science
Assistive Technology
100%
Evaluating Technology
100%
Walking Aids
75%
Potential Benefit
25%
User-Centered Design
25%
Independent Mobility
25%
Functional Specification
25%
Physical Support
25%
Iterative Design
25%
Psychology
Psychometrics
100%
Sex Differences
100%
Mobile Phones
100%
Quality of Life
100%
Nursing and Health Professions
Elderly (Age Groups)
100%
Walking Aid
30%
Gender Difference
10%
Frail Elderly
10%
Rollator
10%
Quality of Life
10%
Psychometry
10%