K.Z. Gajos et al. / Artificial Intelligence 174 (2010) 910–950939
Fig. 30. The setup for the performance elicitation study (a) for pointing tasks (b) for dragging tasks—here the green dot was constrained to move in only one dimension, simulating the constrained one-dimensional behavior of such draggable widget elements like scroll bar elevators of sliders (c) for multiple clicks on the same target (d) for list selection. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
be shown to the participant. Participants acceptance or rejection of the modification would
be used as further input toArnauld
8.4.2. Ability elicitation tasksWe used the Ability Modeler [27,28] to build a model of each participant’s motor abilities. The Ability Modeler builds a predictive model of a person’s motor performance based on the person’s observed performance on four types of basic tasks:
pointing, dragging, list selection, and performing multiple clicks on a single target (Fig. 30), each repeated multiple times
for different target sizes, distances to the target, and the angles of motion (where appropriate. The particular settings used in this study were:
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Pointing. We varied target size (10–90 pixels at 6 discrete levels, distance (25–675 pixels, 7 levels, and movement angle (16 distinct uniformly spaced angles).
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