Prediction of the use of mobile device interfaces in the progressive aging process with the model of Fitts’ law
| Autor: | Sui-Hua Ho, Chiuhsiang Joe Lin |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Aging
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science Movement Interface (computing) Population Health Informatics Task (project management) 03 medical and health sciences 0302 clinical medicine Human–computer interaction Humans Mobile technology Relevance (information retrieval) 030212 general & internal medicine Fitts's law education Aged 030304 developmental biology 0303 health sciences education.field_of_study Infant Newborn Computer Science Applications User interface design Computers Handheld Quality of Life Mobile device Psychomotor Performance |
| Zdroj: | Journal of Biomedical Informatics. 107:103457 |
| ISSN: | 1532-0464 |
| DOI: | 10.1016/j.jbi.2020.103457 |
| Popis: | Purpose As the population ages, so do the potential users of technology, and older adults’ behaviors when using mobile device interfaces are becoming increasingly important. A representative model for detecting older adults’ behaviors and performance on the use of mobile device interfaces is needed to provide individualized designs. This research aimed to investigate the applicability of the broadly used model of Fitts’ law to detect the progressive changes in the use of mobile device interfaces in older adults. The effect of experience with using technology on performance on a Fitts task was also examined. Method A sample of 135 older adults was recruited to test the application of Fitts’ model to the use of technology by older adult users. Each participant was asked to finish tasks at 9 levels of difficulty, from easy to difficult, in a multidirectional tapping task. Analysis of variance was employed to examine the effect of age on performance on the Fitts task, movement time, and the standard deviation of movement time. Stepwise regression was used to investigate how well age and technology use could predict performance on the Fitts task. Result Performance on the Fitts task was sensitive to the gradual changes in abilities with aging. Rather than the amount of experience in using technology, age was the stronger predictor of older adults’ performance on the Fitts task. Additionally, compared with the younger groups, the users above 80 years old demonstrated significantly higher behavioral variation during the use of mobile device interfaces. Conclusion This research confirmed that Fitts’ law is applicable to the evaluation of the effects of aging on the use of mobile device interfaces. Adults above the age of 80 years should be a major focus for special individualized interface design. This finding can inform future designers and researchers in the development of individualized interface designs for older adult users to enhance their user experiences of mobile device technology. Relevance to industry Future designers and researchers can apply the finding on Fitts’ law in this research to develop user-friendly interface designs for mobile technology for older adults and thereby improve their user experiences to enhance their independence and quality of life through the use of technology. |
| Databáze: | OpenAIRE |
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