研究者
J-GLOBAL ID:201901012724110227   更新日: 2022年02月21日

ターク ベンヤミン

Benjamin Tag
所属機関・部署:
その他の所属(所属・部署名・職名) (2件):
  • The University of Melbourne  Research Fellow / Associate Lecturere
  • Keio University, Research Institute Media Design  Associate Researcher
研究分野 (3件): 計算科学 ,  ヒューマンインタフェース、インタラクション ,  ヒューマンインタフェース、インタラクション
研究キーワード (4件): Ubiquitous Computing ,  Physiological Sensing ,  Human-Computer Interaction ,  Cognition-Aware Systems
論文 (44件):
  • Tilman Dingler, Benjamin Tag, Philipp Lorenz-Spreen, Andrew W. Vargo, Simon Knight, Stephan Lewandowsky. Workshop on Technologies to Support Critical Thinking in an Age of Misinformation. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 2021
  • Gabriele Marini, Benjamin Tag, Jorge Goncalves, Eduardo Velloso, Raja Jurdak, Daniel Capurro, Clare McCarthy, William Shearer, Vassilis Kostakos. Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation. JMIR mHealth and uHealth. 2020. 8. 10
  • Niels van Berkel, Benjamin Tag, Jorge Goncalves, Simo Hosio. Human-centred artificial intelligence: a contextual morality perspective. Behaviour & Information Technology. 2020. 1-17
  • Benjamin Tag, Tilman Dingler, Andrew W. Vargo, Vassilis Kostakos. Inferring Circadian Rhythms of Cognitive Performance in Everyday Life. IEEE Pervasive Computing. 2020. 19. 3. 14-23
  • Kangning Yang, Chaofan Wang, Zhanna Sarsenbayeva, Benjamin Tag, Tilman Dingler, Greg Wadley, Jorge Goncalves. Benchmarking commercial emotion detection systems using realistic distortions of facial image datasets. The Visual Computer. 2020
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講演・口頭発表等 (6件):
  • Cognition and Computing - From Sensing to Behavior Change
    (Research Institute of Electrical Communication, Tohoku University 2020)
  • Utilizing Physiological Signals on the Face for Unobtrusively Assessing Cognitive States
    (The University of Melbourne 2019)
  • Inferring Fatigue Levels from EOG Signals on teh Face for Unobtrusively Assessing Cognitive States
    (School of Medicine, University of Nottingham, Hearing Sciences - Scottish Section, Glasgow Royal Infirmary 2019)
  • Utilizing Physiological Signals on the Face for Assessing Changes in Cognitive States
    (German Research Center for Artificial Intelligence (DFKI GmbH), Department for Cognitive Assistants 2019)
  • Cognitive State Assessments through Monitoring Physiological Signals on the Face
    (Electrical Engineering and Computer Science Technical Seminar Series, The University of California, Merced 2019)
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学歴 (4件):
  • 2014 - 2019 慶應義塾大学 メディアデザイン研究科
  • 2012 - 2014 慶應義塾大学 メディアデザイン研究科
  • 2010 - 2012 京都大学 大学院人間・環境学研究科
  • 2005 - 2009 Freie Universität Berlin B.A.
学位 (1件):
  • Ph.D. (Keio University)
経歴 (3件):
  • 2019 - 現在 The University of Melbourne School of Computing and Information Systems Research Fellow / Associate Lecturer
  • 2018 - 現在 慶應義塾大学 メディアデザイン研究科
  • 2018 - 現在 大阪府立大学 大学院工学研究科 電気・情報系専攻 客員研究員
受賞 (9件):
  • 2020 - Research Institute of Electrical Communication, Tohoku University Research Project Seminar
  • 2018 - Japan Science and Technology Agency AIP Network Labo Special Grant
  • 2018 - Keio University Young Researcher's Fellowship
  • 2018 - Keio University Grant-in-Aid Program for Ph.D. Students
  • 2017 - Keio University Young Researcher's Fellowship
全件表示
所属学会 (1件):
ACM
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