Blow, Nikolaus and Biswas, Pradipta (2017) A pointing facilitation system for motor-impaired users combining polynomial smoothing and time-weighted gradient target prediction models. In: Assistive Technology, 29 (1). pp. 48-60. ISSN 1040-0435
Full text not available from this repository.Abstract
As computers become more and more essential for everyday life, people who cannot use them are missing out on an important tool. The predominant method of interaction with a screen is a mouse, and difficulty in using a mouse can be a huge obstacle for people who would otherwise gain great value from using a computer. If mouse pointing were to be made easier, then a large number of users may be able to begin using a computer efficiently where they may previously have been unable to. The present article aimed to improve pointing speeds for people with arm or hand impairments. The authors investigated different smoothing and prediction models on a stored data set involving 25 people, and the best of these algorithms were chosen. A web-based prototype was developed combining a polynomial smoothing algorithm with a time-weighted gradient target prediction model. The adapted interface gave an average improvement of 13.5% in target selection times in a 10-person study of representative users of the system.
| Item Type: | Journal Article |
|---|---|
| Publication: | Assistive Technology |
| Publisher: | Taylor and Francis Inc. |
| Additional Information: | The copyright for this article belongs to the Taylor and Francis Inc. |
| Keywords: | hand strength evaluation; motor-impairment; pointing facilitation; polynomial smoothing; target prediction |
| Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
| Date Deposited: | 02 Jun 2022 05:18 |
| Last Modified: | 02 Jun 2022 05:18 |
| URI: | https://eprints.iisc.ac.in/id/eprint/73029 |
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