Brain lattice: Concept lattice based causal analysis of changes in mental workload

Author

Oyama, Koki ; Takeuchi, A. ; Chang, Carl K.

Author_Institution

Dept. of Comput. Sci., Nihon Univ., Koriyama, Japan

fYear

2013

fDate

25-28 Feb. 2013

Firstpage

59

Lastpage

66

Abstract

This research presents the application of concept lattice to visualize temporal causality of changes in mental workload. A concept lattice in this paper projects potential causal factors of changes in workload from multimodal sensor data. The use of concept lattice in spatio-temporal data stream enabled us for visualization of changing potential causal factors in finite-length of time. We conducted an experiment to validate our method. Temporal situations of 6 subjects during a lesson of computer programming were evaluated to classify causal factors of changing mental workload. Large variations of mental workload during computer programming were mostly shown at the point the users faced a programming error or the point it was resolved.

Keywords

cognition; data analysis; data visualisation; medical computing; sensor fusion; brain lattice; computer programming; concept lattice based causal analysis; mental workload change; multimodal sensor data; spatio-temporal data stream; temporal causality visualization; Computers; Electroencephalography; Indexes; Lattices; Monitoring; Programming; Sensors; brain computer interface; brain lattice; multimodal dialogue data; non-invasive wearable sensor; situation awareness;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2013 IEEE International Multi-Disciplinary Conference on

Conference_Location

San Diego, CA

Print_ISBN

978-1-4673-2437-3

Type

conf

DOI

10.1109/CogSIMA.2013.6523824

Filename

6523824