Journal
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Volume 19, Issue 24, Pages -Publisher
MDPI
DOI: 10.3390/ijerph192416937
Keywords
complex interaction tasks; age-friendly interface; eye tracking; multi-physiological signals
Funding
- National Key Research and Development Program
- Jiangsu Postgraduate International Smart Health Furniture Design and Engineering project [2017YFD0601104]
- Jiangsu Province Ecological Health Home Furnishing Industry-University-Research International Cooperation
- Qing Lan Project
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This study explores the usage characteristics of elderly users of different genders through the interface of a smart home's operating system and finds some interesting results, such as the tendency of female users to browse the whole page and to browse from top to bottom, and the tendency of male users to experience more nervousness.
Human-computer interaction tends to be intelligent and driven by technological innovation. However, there is a digital divide caused by usage barriers for older users when interacting with complex tasks. To better help elderly users efficiently complete complex interactions, a smart home's operating system's interface is used as an example to explore the usage characteristics of elderly users of different genders. This study uses multi-signal physiological acquisition as a criterion. The results of the study showed that: (1) Older users are more attracted to iconic information than textual information. (2) When searching for complex tasks, female users are more likely to browse the whole page before locating the job. (3) Female users are more likely to browse from top to bottom when searching for complex tasks. (4) Female users are more likely to concentrate when performing complex tasks than male users. (5) Males are more likely to be nervous than females when performing complex tasks.
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