Cognitive skills learning: pen input patterns in computer-based athlete training

Authors:
Natalie Ruiz;Qian Qian Feng;Ronnie Taib;Tara Handke;Fang Chen
Affiliations:
NICTA, Eveleigh NSW, Australia;University of NSW, Kensignton NSW, Australia;NICTA, Eveleigh NSW, Australia and University of NSW, Kensignton NSW, Australia;Australian Institute of Sport Leverrier Cresent, Bruce ACT, Australia;NICTA, Eveleigh NSW, Australia and University of NSW, Kensignton NSW, Australia
Venue:
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Year:
2010

Citing 2
Cited 2

When do we interact multimodally?: cognitive load and multimodal communication patterns

Proceedings of the 6th international conference on Multimodal interfaces
Using pen input features as indices of cognitive load

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Workload on your fingertips: the influence of workload on touch-based drag and drop

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Automatic Cognitive Load Classification Using High-Frequency Interaction Events: An Exploratory Study

International Journal of Technology and Human Interaction

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Abstract

In this paper, we describe a longitudinal user study with athletes using a cognitive training tool, equipped with an interactive pen interface, and think-aloud protocols. The aim is to verify whether cognitive load can be inferred directly from changes in geometric and temporal features of the pen trajectories. We compare trajectories across cognitive load levels and overall Pre and Post training tests. The results show trajectory durations and lengths decrease while speeds increase, all significantly, as cognitive load increases. These changes are attributed to mechanisms for dealing with high cognitive load in working memory, with minimal rehearsal. With more expertise, trajectory durations further decrease and speeds further increase, which is attributed in part to cognitive skill acquisition and to schema development, both in extraneous and intrinsic networks, between Pre and Post tests. As such, these pen trajectory features offer insight into implicit communicative changes related to load fluctuations.