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Centre for Policy on Ageing | |
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| Quantitative analysis of user interfaces for large electronic home appliances and mobile devices based on lifestyle categorization of older users | | Author(s) | Wonkyoung Shin, Minyong Park |
| Journal title | Experimental Aging Research, vol 43, no 5, October-December 2017 |
| Publisher | Taylor and Francis, October-December 2017 |
| Pages | pp 480-511 |
| Source | http://www.tandfonline.com |
| Keywords | Assistive technology ; Information technology ; Equipment ; Consumer choice ; Social characteristics [elderly] ; Market research ; Quantitative studies. |
| Annotation | Older people's increasing longevity and health as well as ageing populations have created the need to develop digital product interfaces which are suitable for older people. This study (by Korean researchers) aims to find user interface (UI) priorities according to older user groups based on their lifestyle, and to develop quality of UI (QUI) models for large electronic home appliances and mobile devices. Following a literature review and a survey questionnaire survey of 252 people, a segmentation table designed to show how older users can be categorised was created. Factor analysis was performed to extract six preliminary lifestyle factors, which were then used for subsequent cluster analysis. The analysis resulted in four groups. Cross-analysis was carried out to investigate which characteristics were included in the groups. Analysis of variance was then applied to investigate the differences in the UI priorities among the user groups for various electronic devices. Finally, QUI models were developed and applied to those electronic devices. Differences in UI priorities were found according to the four lifestyles: "money-oriented", "innovation-oriented", "stability- and simplicity-oriented", and "innovation- and intellectual-oriented". Twelve QUI models were developed for four different lifestyle groups associated with different products. Three washing machines and three smartphones were used as examples for testing the QUI models. The UI differences of the older user groups by the segmentation in this study using several key variables (i.e. demographic, socioeconomic, and physical and/or cognitive) are distinct from earlier studies made with a single variable. The differences in responses clearly indicate the benefits of integrating various factors of older users, rather than a single variable, in order to design and develop more innovative and better consumer products in the future. The results of this study showed that older users with a potentially high buying power in the future are likely to have higher satisfaction when selecting products that are customised for their lifestyle. Designers could also use the results of UI evaluation for older users based on their lifestyle before developing products through QUI modelling. This approach would save time and costs. (RH). |
| Accession Number | CPA-171208208 A |
| Classmark | M: UVB: YW: WYC: F: WUA: 3DQ |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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