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Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

349
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
349

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An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
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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.

Mobilehci : Proceedings of the ... International Conference on Human Computer Interaction with Mobile Devices and Services. Mobilehci (Conference)
|August 7, 2023
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
accessibilitygliding-based target selectionpointing

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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.