| Records |
| Author |
Thorpe, A.; Friedman, J.; Evans, S.; Nesbitt, K.; Eidels, A. |
| Title |
Mouse Movement Trajectories as an Indicator of Cognitive Workload |
Type |
Journal Article |
| Year |
2022 |
Publication |
International Journal of Human-Computer Interaction |
Abbreviated Journal  |
International Journal of Human-Computer Interaction |
| Volume |
38 |
Issue |
15 |
Pages |
1464-1479 |
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| Abstract |
Assessing the cognitive impact of user interfaces is a shared focus of human-computer interaction researchers and cognitive scientists. Methods of cognitive assessment based on data derived from the system itself, rather than external apparatus, have the potential to be applied in a range of scenarios. The current study applied methods of analyzing kinematics to mouse movements in a computer-based task, alongside the detection response task, a standard workload measure. Sixty-five participants completed a task in which stationary stimuli were tar;geted using a mouse, with a within-subjects factor of task workload based on the number of targets to be hovered over with the mouse (one/two), and a between-subjects factor based on whether both targets (exhaustive) or just one target (minimum-time) needed to be hovered over to complete a trial when two targets were presented. Mouse movement onset times were slower and mouse movement trajectories exhibited more submovements when two targets were presented, than when one target was presented. Responses to the detection response task were also slower in this condition, indicating higher cognitive workload. However, these differences were only found for participants in the exhaustive condition, suggesting those in the minimum-time condition were not affected by the presence of the second target. Mouse movement trajectory results agreed with other measures of workload and task performance. Our findings suggest this analysis can be applied to workload assessments in real-world scenarios. |
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1044-7318 |
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117 |
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| Author |
Mimouni-Bloch, A.; Shaklai, S.; Levin, M.; Ingber, M.; Karolitsky, T.; Grunbaum, S.; Friedman, J. |
| Title |
Developmental and acquired brain injury have opposite effects on finger coordination in children |
Type |
Journal Article |
| Year |
2023 |
Publication |
Frontiers in Human Neuroscience |
Abbreviated Journal |
Front. Hum. Neurosci. |
| Volume |
17 |
Issue |
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Pages |
1083304 |
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1662-5161 |
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119 |
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| Author |
Geller, N.; Moringen, A.; Friedman, J. |
| Title |
Learning juggling by gradually increasing difficulty vs. learning the complete skill results in different learning patterns |
Type |
Journal Article |
| Year |
2023 |
Publication |
Frontiers in Psychology |
Abbreviated Journal |
Front Psychol |
| Volume |
14 |
Issue |
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Pages |
1284053 |
| Keywords |
coordination; difficulty; juggling; learning strategies; motor learning |
| Abstract |
Motor learning is central to sports, medicine, and other health professions as it entails learning through practice. To achieve proficiency in a complex motor task, many hours of practice are required. Therefore, finding ways to speed up the learning process is important. This study examines the impact of different training approaches on learning three-ball cascade juggling. Participants were assigned to one of two groups: practicing by gradually increasing difficulty and elements of the juggling movement (“learning in parts”) or training on the complete skill from the start (“all-at-once”). Results revealed that although the all-at-once group in the early stages of learning showed greater improvement in performance, the “learning in parts” group managed to catch up, even over a relatively short period of time. The lack of difference in performance between the groups at the end of the training session suggests that the choice of training regime (between all-at-once and learning in parts), at least in the short term, can be selected based on other factors such as the learner's preference, practical considerations, and cognitive style. |
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Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel |
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English |
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1664-1078 |
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PMID:38022928; PMCID:PMC10679398 |
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no |
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120 |
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