Augmented Human and Human-Machine Co-evolution: Efficiency and Ethics

[1]  Florian Lingenfelser,et al.  NOVA: A Tool for Explanatory Multimodal Behavior Analysis and Its Application to Psychotherapy , 2020, MMM.

[2]  L. Devillers.  Social and Emotional Robots: Useful Artificial Intelligence in the Absence of Consciousness , 2020 .

[3]  Vincent Aleven,et al.  Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity , 2019, J. Learn. Anal..

[4]  Vincent Aleven,et al.  Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms , 2019, AIED.

[5]  Alexander G. Schwing,et al.  Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering , 2018, ECCV.

[6]  Vincent Aleven,et al.  Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms , 2018, AIED.

[7]  Trevor Darrell,et al.  Women also Snowboard: Overcoming Bias in Captioning Models , 2018, ECCV.

[8]  Moritz Tenorth,et al.  Representations for robot knowledge in the KnowRob framework , 2017, Artif. Intell..

[9]  Gordon Cheng,et al.  Transferring skills to humanoid robots by extracting semantic representations from observations of human activities , 2017, Artif. Intell..

[10]  Raja Chatila,et al.  Ethics in Robotics Research: CERNA Mission and Context , 2017, IEEE Robotics & Automation Magazine.

[11]  Yash Patel,et al.  Dynamic Lexicon Generation for Natural Scene Images , 2016, ECCV Workshops.

[12]  Jun Nakanishi,et al.  Dynamical Movement Primitives: Learning Attractor Models for Motor Behaviors , 2013, Neural Computation.

[13]  Gordon Cheng,et al.  Learning tasks from observation and practice , 2004, Robotics Auton. Syst..

[14]  Masayuki Inaba,et al.  Learning by watching: extracting reusable task knowledge from visual observation of human performance , 1994, IEEE Trans. Robotics Autom..