Modeling Fully and Partially Constrained Lasso Movements in a Grid of Icons
Shota Yamanaka, Wolfgang Stuerzlinger (Simon Fraser Univ.)
The ACM CHI Conference on Human Factors in Computing Systems (CHI 2019), 2019/5
- Lassoing objects is a basic function in illustration software and presentation tools. Yet, lassoing is sometimes time-consuming to perform and requires precise pen operation, for many common object arrangements. In this study, we studied lassoing movements in a grid of objects similar to icons. We propose a quantitative model to predict the time to lasso such icons depending on the margins between icons, their sizes, and layout, which all affect the number of stopping and crossing movements. Results of two experiments showed that our models predicts fully and partially constrained movements with high accuracy. We also analyzed the speed profiles and pen stroke trajectories and identified deeper insights into user behaviors, such as that an unconstrained area can induce higher movement speeds even in preceding path segments.
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