Presentation 2018-09-06
Integration of Expert and Beginner Experiences of Machine Operations Captured through Egocentric Vision
Long-fei Chen, Yuichi Nakamura, Kazuaki Kondo,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Beginners can often provide useful information regarding machine operations, e.g., how difficult a specific operation is or how beginners deal with difficulties. However, their experiences oftentimes widely vary, and it is difficult to summarize these diverse experiences in a comprehensible way. To try and solve this problem, this study focused on developing a framework for integrating beginners' and experts' experiences into a comprehensive operation model. The baseline model, based on hand--machine interactions automatically extracted from experts' egocentric vision records, was first obtained. Then, the beginners' behaviors were integrated by dynamically aligning them to the baseline mode. Through this process, a comprehensive model based on the experiences of a wide variety of users was achieved.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) expertbeginneralignmentintegrationmachine operation
Paper # MVE2018-13
Date of Issue 2018-08-30 (MVE)

Conference Information
Committee MVE
Conference Date 2018/9/6(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kenji Mase(Nagoya Univ.)
Vice Chair Masayuki Ihara(NTT)
Secretary Masayuki Ihara(NTT)
Assistant Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT)

Paper Information
Registration To Technical Committee on Media Experience and Virtual Environment
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Integration of Expert and Beginner Experiences of Machine Operations Captured through Egocentric Vision
Sub Title (in English)
Keyword(1) expertbeginneralignmentintegrationmachine operation
1st Author's Name Long-fei Chen
1st Author's Affiliation Kyoto University(Kyoto Univ.)
2nd Author's Name Yuichi Nakamura
2nd Author's Affiliation Kyoto University(Kyoto Univ.)
3rd Author's Name Kazuaki Kondo
3rd Author's Affiliation Kyoto University(Kyoto Univ.)
Date 2018-09-06
Paper # MVE2018-13
Volume (vol) vol.118
Number (no) MVE-211
Page pp.pp.3-8(MVE),
#Pages 6
Date of Issue 2018-08-30 (MVE)