Cognitive load evaluation of handwriting using stroke-level features

Authors:
Kun Yu;Julien Epps;Fang Chen
Affiliations:
University of New South Wales, Sydney, Australia;University of New South Wales, Sydney, Australia;ATP Laboratory, National ICT Australia, Sydney, Australia
Venue:
Proceedings of the 16th international conference on Intelligent user interfaces
Year:
2011

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Abstract

This paper examines several writing features for the evaluation of cognitive load. Our analysis is focused on writing features within and between written strokes, including writing pressure, writing velocity, stroke length and inter-stroke movements. Based on a study of 20 subjects performing a sentence composition task, the reported findings reveal that writing pressure and writing velocity information are very good indicators of cognitive load. A stroke selection threshold was investigated for constraining the feature extraction to long strokes, which resulted in a small further improvement. Differing from most previous research investigating cognitive load during writing based on task performance criteria, this work proposes a new approach to cognitive load measurement using writing dynamics, with the potential to allow new or improve existing handwriting interfaces.