Abstract
Computerized cognitive tests often entail tasks related to visual stimuli. An efficient complexity measure for these tasks can enhance their cognitive evaluation accuracy, specifically for elderly and cognitively impaired subjects. This paper details the design, implementation, and testing of a visual pattern complexity determination algorithm. The patterns used for the study are sixteen-bit binary patterns taken from computerized cognitive assessments. Three complexity levels were defined based on the visual perception of human subjects: easy, medium, and hard. The algorithm was tested on three hundred patterns and the results were compared to the parallel complexities perceived by human judges. Correlations of 72%, 74%, and 61% between human perception and the algorithm’s predictions were obtained for the easy, medium, and hard patterns, respectively. The algorithm has potential to become an accurate measure of visual pattern complexity in computerized assessment, and could improve the usability of these tests for psychometric and cognitive evaluations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Eysenck, M.W., Keane, M.T.: Cognitive Psychology: A Student’s Handbook. Taylor & Francis, Abingdon (2000)
Aharonson, V., Korczyn, A.D.: Human–computer interaction in the administration and analysis of neuropsychological tests. Comput. Methods Programs Biomed. 73, 43–53 (2004)
Korczyn, A.D., Aharonson, V.: Computerized methods in the assessment and prediction of dementia. Curr. Alzheimer’s Res. 4, 364–369 (2007)
Aharonson, V., Halperin, I., Korczyn, A.A.: Computerized diagnosis of mild cognitive impairment. Alzheimer’s Dementia 3, 23–27 (2007)
Pi, Y., Lu, J., Liu, M., Liao, W.: Theory of Cognitive Pattern Recognition. INTECH Open Access Publisher, Guangzhou, Guangdong, China (2008)
Aharonson, V., Korczyn, A.: Computerized methods for cognitive testing. In: Majd, A., Felder, R.A. (eds.) Eldercare Technology for Clinical Practitioners. Humana Press, New York (2008)
Attneave, F.: Some informational aspects of visual perception. Psychol. Rev. 61(3), 183–193 (1954)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Babshet, K., Honegger, C., Gritzman, A., Aharonson, V. (2018). Visual Pattern Complexity Determination for Enhanced Usability in Cognitive Testing. In: Baldwin, C. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2017. Advances in Intelligent Systems and Computing, vol 586. Springer, Cham. https://doi.org/10.1007/978-3-319-60642-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-60642-2_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60641-5
Online ISBN: 978-3-319-60642-2
eBook Packages: EngineeringEngineering (R0)