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Acquisition of expanding targets
Abstract
There exist several user interface widgets that dynamically grow in size in response to the user's focus of attention. Some of these, such as icons in toolbars, expand to facilitate their selection - allowing for a reduced initial size in an attempt to optimize screen space use. However, selection performance may be degraded by this decreased initial widget size. We describe an experiment which explores the effects of varying parameters of expansion techniques in a selection task. Our results suggest that Fitts' law can model and predict performance in such tasks. They also indicate that performance is governed by the target's final size, not its initial one. Further, performance is dependent on the target's final size even when the target only begins expanding as late as after 90% of the movement towards the target has already been completed. These results indicate that expanding widgets can be used without sacrificing performance
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Dwell time selection method is often combined with magnification methods in order to increase accuracy in gaze pointing and selection.
“Dwell time selection method is often combined with magnification methods in order to increase accuracy in gaze pointing and selection (e.g., Lankford, 2000; McGuffin and Balakrishnan, 2002; Zhai et al., 2003; Ashmore and Duchowski, 2005; Fono and Vertegaal, 2005; Hegner and Skovsgaard, 2008).”
From The EyeHarp: A Gaze-Controlled Digital Musical Instrument (2016) · cites this paper as McGuffin and Balakrishnan, 2002
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References 14 · Cited by 215
Research works printed but not linked: 11
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Metadata
- Authors
- McGuffin, M., & Balakrishnan, R.
- Affiliations
- University of Toronto (CA)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2002-04-20
- Pages
- 57-64
- OpenAlex
- W2025904186
- Cited by
- 215
- References
- 14
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 9 · 2023: 4 · 2022: 5 · 2021: 4 · 2020: 8 · 2019: 5 · 2018: 4 · 2017: 3 · 2016: 5 · 2015: 6 · 2014: 8 · 2013: 11 · 2012: 5
- FWCI
- 8.74
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Espace ÉTS (ETS) (submittedVersion)
- Funders
- University of Toronto
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- Fitts' law, user interface widget, target size, cursor movement
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