A Performance Evaluation of Nomon: A Flexible Interface for Noisy Single-Switch Users
Document Type
Conference Proceeding
Publication Date
4-29-2022
Department
Department of Computer Science
Abstract
Some individuals with motor impairments communicate using a single switch - such as a button click, air puff, or blink. Row-column scanning provides a method for choosing items arranged in a grid using a single switch. An alternative, Nomon, allows potential selections to be arranged arbitrarily rather than requiring a grid (as desired for gaming, drawing, etc.) - and provides an alternative probabilistic selection method. While past results suggest that Nomon may be faster and easier to use than row-column scanning, no work has yet quantified performance of the two methods over longer time periods or in tasks beyond writing. In this paper, we also develop and validate a webcam-based switch that allows a user without a motor impairment to approximate the response times of a motor-impaired single switch user; although the approximation is not a replacement for testing with single-switch users, it allows us to better initialize, calibrate, and evaluate our method. Over 10 sessions with the webcam switch, we found users typed faster and more easily with Nomon than with row-column scanning. The benefits of Nomon were even more pronounced in a picture-selection task. Evaluation and feedback from a motor-impaired switch user further supports the promise of Nomon.
Publication Title
Conference on Human Factors in Computing Systems - Proceedings
ISBN
9781450391573
Recommended Citation
Bonaker, N.,
Nel, E.,
Vertanen, K.,
&
Broderick, T.
(2022).
A Performance Evaluation of Nomon: A Flexible Interface for Noisy Single-Switch Users.
Conference on Human Factors in Computing Systems - Proceedings, 1-17.
http://doi.org/10.1145/3491102.3517738
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/16010