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Modeling Gliding-based Target Selection for Blind Touchscreen Users
Yu-Jung Ko1, Shirin Feiz1, I V Ramakrishnan1
1Department of Computer Science, Stony Brook University, USA.
Summary
Blind screen-reader users employ two gliding strategies for touch exploration: corrective ballistic movements and segmented sub-movements. A new model accurately predicts their motor performance, enhancing interface design.
Area of Science:
- Human-Computer Interaction
- Accessibility Research
- Motor Control
Background:
- Touch exploration is a primary interaction method for blind screen-reader users.
- Existing models do not fully capture the nuances of their gliding behavior.
Purpose of the Study:
- To investigate the gliding trajectories of blind screen-reader users.
- To develop a predictive model for their touch exploration motor performance.
Main Methods:
- Analysis of gliding trajectories during touch exploration.
- Development and validation of the mixture pointing model.
Main Results:
- Identified two distinct gliding strategies: iterative corrections and segmented sub-movements.
- The proposed mixture pointing model significantly outperforms Fitts' law (R² 0.76 vs. 0.65).
- Model shows superiority in cross-validation and information criteria.
Conclusions:
- The mixture pointing model enhances the understanding of gliding-based target selection for visually impaired users.
- This model can inform the design of more effective interface layouts for screen-reader based touch exploration.

