Augkey: Increasing Foveal Throughput In Eye Typing With Augmented Keys

CHI'16: CHI Conference on Human Factors in Computing Systems San Jose California USA May, 2016(2016)

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摘要
Eye-typing is an important tool for people with physical disabilities and, for some, it is their main form of communication. By observing expert typists using physical keyboards, we notice that visual throughput is considerably reduced in current eye-typing solutions. We propose AugKey to improve throughput by augmenting keys with a prefix, to allow continuous text inspection, and suffixes to speed up typing with word prediction. AugKey limits the visual information to the foveal region to minimize eye movements (i.e., reduce eye work). We have applied AugKey to a dwell-time keyboard and compared its performance with two conditions with no augmented feedback: a keyboard with and one without word prediction. Results show that AugKey can be about 28% faster than no word prediction and 20% faster than traditional word prediction, with a smaller workload index.
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关键词
eye typing,augmented feedback,text-entry speed,user experience,word prediction
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