Heidi Horstmann Koester

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We designed and evaluated an agent that recommends a pointing device gain for a given user, with mixed success. 12 participants with physical impairments used the Input Device Agent (IDA), to determine a recommended gain based on their performance over a series of target acquisition trials. IDA recommended a gain other than the Windows default for 9 of 12(More)
A keystroke-level model of user performance was developed to predict the improvement in text generation rate with a word prediction system relative to letters-only typing. Two sets of model simulations were tested against the actual performance of able-bodied and spinal cord injured subjects. For Model 1A, user parameter values were determined independently(More)
Automatic adaptation has the potential to enhance the performance of a wide variety of assistive technologies. This paper describes two adaptive assistive technologies: (1) a "smart wheelchair" that selects its operating mode based on current task requirements and (2) a row-colunm scanning keyboard that changes its scanning rate to conform to the(More)
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