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Cognition in human computer interaction: Toward measures of usability

Resource type
Author/contributor
Title
Cognition in human computer interaction: Toward measures of usability
Abstract
This study developed a framework for predicting usability factors through an understanding of how cognitive traits relate to human interaction with a computer system. Specifically, this study examined the relationship of field-independence, spatial visualization, logical reasoning, and integrative reasoning to interaction process and outcome. The research hypothesis was tested through correlation to determine the relationships among variables. As a post hoc analysis, multiple regression analysis was used to examine the predictive power of four cognitive variables on interaction outcome. The results of the study emphasize the importance of considering cognitive variables as important predictors to human interaction process and outcome. © 2024 IEEE.
Proceedings Title
International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024
Conference Name
International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024
Date
2024
Citation Key
kimCognitionHumanComputer2024
Archive
Scopus
Short Title
Cognition in human computer interaction
Library Catalog
Scopus
Citation
Kim, C. S. (2024). Cognition in human computer interaction: Toward measures of usability. International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024. Scopus. International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024. https://doi.org/10.1109/ICECET61485.2024.10698643