Reflow: Automatically Improving Touch Interactions in Mobile Applications through Pixel-based Refinements
July 15, 2022 Β· Declared Dead Β· π arXiv.org
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Authors
Jason Wu, Titus Barik, Xiaoyi Zhang, Colin Lea, Jeffrey Nichols, Jeffrey P. Bigham
arXiv ID
2207.07712
Category
cs.HC: Human-Computer Interaction
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Touch is the primary way that users interact with smartphones. However, building mobile user interfaces where touch interactions work well for all users is a difficult problem, because users have different abilities and preferences. We propose a system, Reflow, which automatically applies small, personalized UI adaptations, called refinements -- to mobile app screens to improve touch efficiency. Reflow uses a pixel-based strategy to work with existing applications, and improves touch efficiency while minimally disrupting the design intent of the original application. Our system optimizes a UI by (i) extracting its layout from its screenshot, (ii) refining its layout, and (iii) re-rendering the UI to reflect these modifications. We conducted a user study with 10 participants and a heuristic evaluation with 6 experts and found that applications optimized by Reflow led to, on average, 9% faster selection time with minimal layout disruption. The results demonstrate that Reflow's refinements useful UI adaptations to improve touch interactions.
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