文献
J-GLOBAL ID:201802224900351694
整理番号:18A2100737
自閉症スペクトラム障害の幼児に対する人間-ロボット相互作用に基づく人間-人間相互作用における関節注意性能への応答予測【JST・京大機械翻訳】
Predicting Response to Joint Attention Performance in Human-Human Interaction Based on Human-Robot Interaction for Young Children with Autism Spectrum Disorder
著者 (7件):
Nie Guangtao
(Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN, 37212, USA)
,
Zheng Zhi
(Biomedical Engineering Department, University of Wisconsin-Milwaukee, Milwaukee, WI, 53211, USA)
,
Johnson Jazette
(Mechanical Engineering Department, Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN, 37212, USA)
,
Swanson Amy R.
(Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Vanderbilt University Medical Center, Nashville, TN, 37212, USA)
,
Weitlauf Amy S.
(Department of Pediatrics, Vanderbilt University Medical Center, Treatment and Research Institute for Autism Spectrum Disorder (TRIAD), Nashville, TN, 37212, USA)
,
Warren Zachary E.
(Departments of Pediatrics and Psychiatry, Vanderbilt University Medical Center, Treatment and Research Institute for Autism Spectrum Disorders (TRIAD), Nashville, TN, 37212, USA)
,
Sarkar Nilanjan
(Mechanical Engineering Department, Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN, 37212, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
RO-MAN
ページ:
1-4
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)