Designing self-ordering kiosk for older adults: Familiarity design focusing on representation, manipulation, and organization
- Authors
- Lee, Chung Heon; Lee, Jeongwoo; Kim, Doha; Kim, Inho; Song, Hayeon
- Issue Date
- Jul-2024
- Publisher
- Elsevier Ltd
- Keywords
- Navigation structure; Older adult; Self-ordering kiosk; Skeuomorphism; Technology acceptance; User interface
- Citation
- Computers in Human Behavior, v.156
- Indexed
- SSCI
SCOPUS
- Journal Title
- Computers in Human Behavior
- Volume
- 156
- URI
- https://scholarx.skku.edu/handle/2021.sw.skku/111035
- DOI
- 10.1016/j.chb.2024.108236
- ISSN
- 0747-5632
1873-7692
- Abstract
- As many services convert to digital based on human-machine communication technology, older adults face considerable challenges. With the goal to identify ways to design digital services that are easier for older adults to use, this paper uses the strategy of making self-ordering kiosks more similar to the original version (i.e., paper menu) focusing on three familiarity design approaches: representation, manipulation, and organization. A 2 (skeuomorphic vs. flat design) x 2 (hierarchical vs. linear navigation structure) between-subject design experiment was conducted with individuals aged over 65 years (N = 60). Participants perceived that the skeuomorphic design was easier to use compared to the flat design, and the linear navigation structure increased perceived self-efficacy, usefulness, and intention to use compared to the hierarchical navigation structure. Participants also completed the tasks more quickly in the skeuomorphic design (vs. flat design) and linear navigation structure (vs. hierarchical structure) conditions. Interaction effects suggest that the task completion time was further reduced when skeuomorphic design was used with a linear navigation structure. Furthermore, fewer people requested assistance when they used a linear navigation structure. Serial multiple mediation results showed that the influence of linear navigation structure on intention to use was mediated by perceived self-efficacy and usefulness. © 2024 Elsevier Ltd
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Collections - Computing and Informatics > Convergence > 1. Journal Articles

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