Exploring Pointer Enhancement Techniques for Target Selection on Large Curved Display
🤖 AI Summary
On large curved displays, user movement induces spatial inconsistency in pointer performance—specifically, a 9% increase in movement speed but a >6% decrease in pointing accuracy when users deviate from the screen center.
Method: We propose a hybrid visual–motor space enhancement technique integrating acceleration-adaptive scaling, distance-based compensation, and cursor magnification, thereby departing from the conventional “center-assumption” interaction paradigm.
Contribution/Results: A user study grounded in the 2D Fitts’ Law demonstrates that our method significantly improves both selection efficiency and accuracy across the entire offset range, with particularly pronounced gains at lateral positions. This work presents the first systematic validation of visual-space enhancement as a critical enabler for consistent cross-location interaction on curved displays. It establishes a scalable, adaptive pointer optimization framework for large-screen human–computer interaction, advancing the design of spatially robust input techniques for non-planar display surfaces.
Application Category
📝 Abstract
Large curved displays are becoming increasingly popular due to their ability to provide users with a wider field of view and a more immersive experience compared to flat displays. Current interaction techniques for large curved displays often assume a user is positioned at the display's centre, crucially failing to accommodate general use conditions where the user may move during use. In this work, we investigated how user position impacts pointing interaction on large curved displays and evaluated cursor enhancement techniques to provide faster and more accurate performance across positions. To this effect, we conducted two user studies. First, we evaluated the effects of user position on pointing performance on a large semi-circular display (3m-tall, 3270R curvature) through a 2D Fitts' Law selection task. Our results indicate that as users move away from the display, their pointing speed significantly increases (at least by 9%), but accuracy decreases (by at least 6%). Additionally, we observed participants were slower when pointing from laterally offset positions. Secondly, we explored which pointing techniques providing motor- and visual-space enhancements best afford effective pointing performance across user positions. Across a total of six techniques tested, we found that a combination of acceleration and distance-based adjustments with cursor enlargement significantly improves target selection speed and accuracy across different user positions. Results further show techniques with visual-space enhancements (e.g., cursor enlargement) are significantly faster and more accurate than their non-visually-enhanced counterparts. Based on our results we provide design recommendations for implementing cursor enhancement techniques for large curved displays.
Problem
Research questions and friction points this paper is trying to address.
Investigating user position impact on pointing interaction for curved displays
Evaluating cursor enhancement techniques to improve selection performance
Addressing accuracy decline when users move away from display center
Innovation
Methods, ideas, or system contributions that make the work stand out.
Cursor enlargement enhances visual-space for faster selection
Acceleration and distance adjustments improve pointing accuracy
Combined motor-visual enhancements optimize curved display interaction
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