Familiarity as a factor in designing finger gestures for elderly users
Abstract
Older adults often struggle with everyday technology which is not designed to accommodate their special needs and adapted to their specific cognitive, sensory and motor abilities. Recently, a new generation of mobile devices has been equipped with multitouch and acceleration sensors that allow for novel ways of interacting with these devices. Interaction occurs through gestures, such as finger movements on the device surface or movement patterns of the device itself, which trigger the device functions. It remains unclear, however, whether this gesture-based interaction indeed facilitates technology interaction, especially with regard to elderly users, or whether it further decreases accessibility and usability of such devices for this user group. In the present study we compare younger and older users on a set of 42 simple gestures with varying complexity and available gesture space regarding accuracy and velocity scales. Results indicate that older users are slower, but not necessarily less accurate, and that further factors such as familiarity can influence gesture performance differentially for older and younger users.
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Older users were significantly slower (1.3 times slower) with unfamiliar gestures.
“In general performance, older users performed accurately as younger users; however, the older users were significantly slower (1.3 times slower) and less accurate with unfamiliar gesture [103].”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [103]
Older users performed accurately as younger users in general performance.
“In general performance, older users performed accurately as younger users; however, the older users were significantly slower (1.3 times slower) and less accurate with unfamiliar gesture [103].”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [103]
Older users were less accurate with unfamiliar gestures.
“In general performance, older users performed accurately as younger users; however, the older users were significantly slower (1.3 times slower) and less accurate with unfamiliar gesture [103].”
From Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review (2017) · cites this paper as [103]
Cites
The impact of aging on access to technology
Czaja, S. J., & Lee, C. C. (2007) · Universal Access in the Information Society · doi:10.1007/s10209-006-0060-x · Cited by 560 · see citing works
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Usability Studies on Mobile User Interface Design Patterns: A Systematic Literature Review
Punchoojit, L., & Hongwarittorrn, N. (2017) · Advances in Human-Computer Interaction · doi:10.1155/2017/6787504 · Cited by 211 · see citing works
- Authors
- Stößel, C.
- Affiliations
- Technische Universität Berlin (DE)
- Corresponding author
- Stößel, Christian
- Venue
- Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
- Publisher
- ACM
- Published
- 2009-09-15
- Pages
- 1-2
- OpenAlex
- W2159423732
- Cited by
- 31
- References
- 1
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 4 · 2017: 1 · 2016: 4 · 2015: 3 · 2014: 4 · 2013: 2 · 2012: 5
- FWCI
- 5.42
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) (publishedVersion)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
- Keywords
- finger gestures, older adults, familiarity, gesture-based interaction, multi-touch, acceleration sensors, mobile devices, usability, accessibility, age differences
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