予稿集Proceeding

Throughput and Effective Parameters in Crossing


Journal: CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Volume:95

Pages:1 - 9

Source URL:https://doi.org/10.1145/3544549.3585817


DOI:10.1145/3544549.3585817


Published:

Publisher:Association for Computing Machinery


Keywords:Throughput / フィッツの法則 / Fitts's law / Crossing / ポインティング / pointing


Abstract

In pointing, throughput TP is used as a performance metric for the input device and operator. Based on the calculation of effective parameters (width We and amplitude Ae), TP should be independent of the speed-accuracy tradeoff. To examine the validity of TP and effective parameters for crossing actions, we conducted two experiments using two established crossing tasks. Our results demonstrate that applying effective parameters to Fitts law model improves the fit to the data for mixed biases in both tasks. Besides, we observed that effective parameters smoothed TPs across biases. However, unlike pointing, TP was observed to be unstable across IDs in one task, while was stable across IDs in the other task. Analyzing speed profiles showed that this was likely due to the fact that one of the tasks could be completed with a ballistic movement at low IDs, whereas this was impossible for the other task.