Title | ||
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Input Accessibility: Effect of Input Device on Interaction Time and Accuracy - An Expanded Analysis of a Large Dataset |
Abstract | ||
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A large dataset of publicly available input data was released recently, containing mouse movements from hundreds of crowdsourced participants including those with and without self-reported motor impairments. This paper provides further analysis of that dataset, in particular by segmenting the input device between physical desktop mice and laptop touchpads. The input device as an independent variable provides significant differences in several input tasks, indicating that the input modality variable is as important as the previously reported analyzed variables. Our analysis provides additional validity to the dataset and its existing analysis based on self-reported motor impairment and participant age. |
Year | DOI | Venue |
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2022 | 10.1007/978-3-031-06417-3_77 | HCI International 2022 Posters |
Keywords | DocType | ISSN |
Computer accessibility, Mouse movement analysis | Conference | 1865-0929 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pham Linh | 1 | 0 | 0.34 |
Whitlow Skye | 2 | 0 | 0.34 |
Rosenbaum Emily | 3 | 0 | 0.34 |
Magee John | 4 | 0 | 0.34 |