Presentation 2013-05-31
Spatio-temporal Data Mining on Turn-taking and Mental Workload between Collaborative Learners
Katsunori OYAMA, Masato KANEKO, Atsushi TAKEUCHI,
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Abstract(in English) This study argues visualization method for monitoring changing situation of communication in a development team. 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 infinite-length of time. We conducted an experiment to validate our method. Temporal situations 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.
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Keyword(in English) Situation Awareness / BCI / Formal Concept Analysis / Wearable Sensors / Turn-taking / EEG changes
Paper # HCS2013-19,HIP2013-19
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Committee HCS
Conference Date 2013/5/23(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spatio-temporal Data Mining on Turn-taking and Mental Workload between Collaborative Learners
Sub Title (in English)
Keyword(1) Situation Awareness
Keyword(2) BCI
Keyword(3) Formal Concept Analysis
Keyword(4) Wearable Sensors
Keyword(5) Turn-taking
Keyword(6) EEG changes
1st Author's Name Katsunori OYAMA
1st Author's Affiliation College of Engineering, Nihon University()
2nd Author's Name Masato KANEKO
2nd Author's Affiliation College of Engineering, Nihon University
3rd Author's Name Atsushi TAKEUCHI
3rd Author's Affiliation College of Engineering, Nihon University
Date 2013-05-31
Paper # HCS2013-19,HIP2013-19
Volume (vol) vol.113
Number (no) 72
Page pp.pp.-
#Pages 6
Date of Issue