Title :
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
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;
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
DOI :
10.1109/CogSIMA.2013.6523824
