Ability-Based Optimization of Touchscreen Interactions

Sayan Sarcar, Jussi Jokinen, Antti Oulasvirta, Zhenxin Wang, Chaklam Silpasuwanchai, Xiangshi Ren

IEEE Pervasive Computing · 2018 · 59 citations · 25 references

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Concepts

Abstract

Ability-based optimization is a computational approach for improving interface designs for users with sensorimotor and cognitive impairments. Designs are created by an optimizer, evaluated against task-specific cognitive models, and adapted to individual abilities. The approach does not necessitate extensive data collection and could be applied both automatically and manually by users, designers, or caretakers. As a first step, the authors present optimized touchscreen layouts for users with tremor and dyslexia that potentially improve text-entry speed and reduce error.

References

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