2015 Fiscal Year Final Research Report

Construction of data acquisition and transfer model for milling machine technology.

Research Project

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Project/Area Number	25289018
Research Category	Grant-in-Aid for Scientific Research (B)
Allocation Type	Partial Multi-year Fund
Section	一般
Research Field	Production engineering/Processing studies
Research Institution	独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校(能力開発院、基盤整備センター)
Principal Investigator	Furukawa Yuji 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校(能力開発院、基, 能力開発院, 教授 (10087190)
Co-Investigator(Kenkyū-buntansha)	KANNO Tsuneo 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 教授 (60648921) WADA Masaki 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 教授 (70648948) OKABE Masayuki 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 教授 (20152332) FUWA Teruhiko 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 教授 (70219137) TERAUCHI Mina 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 准教授 (40648979) IKEDA Tomozumi 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 准教授 (80648923) NINOMIYA Keiichi 独立行政法人高齢・障害・求職者雇用支援機構職業能力開発総合大学校, 能力開発院、基・能力開発院, 助教 (20726335)
Project Period (FY)	2013-04-01 – 2016-03-31
Keywords	身体性認知科学 / 技能伝承 / 技能習得 / フライス盤 / 暗黙知 / 神経系 / 動作分析 / 視線解析
Outline of Final Research Achievements	In manufacturing processes, worker recognizes machining environment by some senses, worker’s central and autonomic nervous systems respond to the environment, and worker's body moves. As a result, the environment changes again, and this cycle is repeated. The purpose of this study is to construct the data acquisition and transfer model for milling machine technology based on embodied cognitive science that gives consideration to a series of these processes. We constructed a user model of milling machine skill based on the Rasmussen's S-K-R (Skill-, Rule- and Knowledge-based) model. In experiments we measured physiological signals (prefrontal lobe measurement using NIRS, heart rate, etc.), physical motion data, and eye movement data during milling machine operation to compare these characteristics of expert to experienced. These results suggest that the expert operates on the skill- and/or the rule-based mode, and experienced operates on the knowledge-based mode.
Free Research Field	生産技術