Investigating the gravity well algorithm to help in pointing in electronic interfaces by motor‐impaired users
Abstract
Purpose: The purpose of this paper is to design an adaptation algorithm to facilitate pointing in electronic interfaces by users with motor impairment. Design/methodology/approach: First, the algorithm was optimized using a simulator, then the algorithm was validated through a user study involving seven motor‐impaired and six able‐bodied users and three different pointing devices. Findings: The algorithm significantly reduces pointing time overall and most participants pointed quicker with the gravity well than without it. Originality/value: The adaptation algorithm can significantly reduce pointing time for both motor and situational impairment.
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Older people typically acquire physical and perceptual impairments that cause difficulties in specifying actions and performing intricate hand and finger actions to manipulate pointing devices.
“Also, older people typically acquire physical and perceptual impairments that cause difficulties in specifying actions and performing intricate hand and finger actions to manipulate pointing devices (Biswas and Langdon, 2011).”
From Intuitive Learnability of Touch Gestures for Technology-Naive Older Adults (2015) · cites this paper as Biswas and Langdon, 2011
Touch-based interaction has been shown to have some efficacy beyond WIMP systems for learnability, ease of manipulation and likeability.
“Although touch-based interaction has been shown to have some efficacy beyond WIMP systems for learnability, ease of manipulation and likeability (Biswas and Langdon, 2011), mastering core manipulation skills and recognizing often nontextual cues requires adoption, exploration and practice.”
From Intuitive Learnability of Touch Gestures for Technology-Naive Older Adults (2015) · cites this paper as Biswas and Langdon, 2011
Cites
Investigating the applicability of user models for motion-impaired users
Keates, S., Clarkson, J., & Robinson, P. (2000) · Proceedings of the fourth international ACM conference on Assistive technologies · doi:10.1145/354324.354354 · Cited by 67 · see citing works
Automatically identifying targets users interact with during real world tasks
Hurst, A., Hudson, S. E., & Mankoff, J. (2010) · Proceedings of the 15th international conference on Intelligent user interfaces · doi:10.1145/1719970.1719973 · Cited by 50 · see citing works
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Intuitive Learnability of Touch Gestures for Technology-Naive Older Adults
Mihajlov, M., Law, E. L.-C., & Springett, M. (2015) · Interacting with Computers · doi:10.1093/iwc/iwu044 · Cited by 30 · see citing works
- Authors
- Biswas, P., & Langdon, P.
- Affiliations
- University of Cambridge (GB)
- ORCID
- Biswas, Pradipta
- Venue
- Journal of Assistive Technologies
- Publisher
- Emerald
- Published
- 2011-09-16
- Volume
- 5
- Issue
- 3
- Pages
- 112-122
- ISSN
- 1754-9450 (ISSN-L)
- OpenAlex
- W2150548137
- Cited by
- 8
- References
- 2
- Citations by year
- 2025: 1 · 2019: 1 · 2017: 1 · 2015: 1 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Assistive Technologies (publishedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- pointing devices, motor impairment, assistive technology, electronic interface, user study
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