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The corresponding outcome variables in this study were the variables simple movement time (in milliseconds) and five-choice movement time (in milliseconds).
We examined motor movement accuracy, reaction time, and movement time in right-handed subjects performing a three-dimensional motor control task (visually guided reaching).
The conventional Fitts' model cannot adequately explain the variance in movement time in a video-controlled pointing task.
Although angle to target has some effects on the movement time in two-dimensional tasks [ 54– 56], there are few explicit models that take these effects into account.
Feedback and bonuses in both session types After each pointing or keypress response, a message was displayed giving the movement time in hundredths of a second.
In Murata and Iwase [ 50] study, the conventional Fitts' model cannot adequately explain the variance in movement time in a real three-dimensional pointing task, as it does not take the direction of movement into account.
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He also said the question of lorry movement times in London was being looked at, with experiences in other cities taken into account.
The mean movement times in the practice phase are shown in Figure 2. Movement time on the first day was 2297 and 2904 ms for young and old participants, respectively, F 1,34) = 20.9, p<.01.
As predicted by Fitts' law, decreasing target size and increasing head rotation amplitudes yielded longer movement times in both groups.
Pareés et al.[ 13 ▪] looked at reaction and movement times in a group of patients with FMD in different paradigms designed to manipulate the degree of predictability of the movement (and hence its capacity for preplanning).
Due to both a technical difficulty and the high comparability between the freezing and total distance traveled/non-movement time from the contextual conditioning, we did not measure total distance traveled/non-movement time in cued conditioning.
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