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A tool to assess the comfort of wearable computers.
- Source :
-
Human Factors . Spring2005, Vol. 47 Issue 1, p77-91. 15p. - Publication Year :
- 2005
-
Abstract
- Wearable computer comfort can be affected by numerous factors, making its assessment based on one value with one scale inappropriate. This paper presents a tool that measures wearable comfort across six dimensions: emotion, attachment, harm, perceived change, movement, and anxiety. The dimensions for these comfort rating scales were specifically developed for wearable equipment assessment by applying multidimensional scaling to a comfort term association matrix developed using the results of groupings of wearable computer comfort terms. Testing the scales on four different types of wearable computer showed that the scales can be used to highlight differences in comfort between different types of technology for different aspects of comfort. An intraclass correlation of .872 suggested that the scales were used with a high level of reliability. A second study showed that modifications made to a wearable computer resulted in improvements in comfort, although they were not significant (p > .05). A potential application for this research is as an aid to designers and researchers for assessing the wearability, in terms of comfort, of wearable computer devices and to determine the effectiveness of any modifications made to the design of a wearable device. [ABSTRACT FROM AUTHOR]
- Subjects :
- *WEARABLE technology
*PSYCHOMETRICS
*PORTABLE computers
*MOBILE computing
*TECHNICAL specifications
*RESEARCH
*PERSONAL computer standards
*ATTITUDE (Psychology)
*COMPARATIVE studies
*COMPUTERS
*EXPERIMENTAL design
*ERGONOMICS
*RESEARCH methodology
*MEDICAL cooperation
*PERSONAL computers
*POCKET computers
*PROBABILITY theory
*SATISFACTION
*MEDICAL equipment safety measures
*PRODUCT design
*EVALUATION research
*PHYSIOLOGIC strain
Subjects
Details
- Language :
- English
- ISSN :
- 00187208
- Volume :
- 47
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Human Factors
- Publication Type :
- Academic Journal
- Accession number :
- 17013217
- Full Text :
- https://doi.org/10.1518/0018720053653875