Artifical Intelligence for Human Computing: ICMI 2006 and Ijcai 2007 International Workshops, Banff, Canada, November 3, 2006 Hyderabad, India, Januar

ISBN-13: 9783540723462 / Angielski / Miękka / 2007 / 382 str.

Thomas S. Huang; Anton Nijholt; Maja Pantic

Opis

This volume in the Lecture Notes of Artificial Intelligence represents the first book on human computing. We introduced the notion of human computing in 2006 and organized two events that were meant to explain this notion and the research conducted worldwide in the context of this notion. The first of these events was a Special Session on Human Computing that took place during the Eighth International ACM Conference on Multimodal Interfaces (ICMI 2006), held in Banff, Canada, on November 3, 2006. The theme of the conference was multimodal collaboration and our Special Session on Human Computing was a natural extension of the discussion on this theme. We are grateful to the organizers of ICMI 2006 for supporting our efforts to organize this Special Session during the conference. The second event in question was a Workshop on AI for Human Computing organized in conjunction with the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), held in Hyderabad (India), on January 6, 2007. The main theme of IJCAI 2007 was AI and its benefits to society. Our workshop presented a vision of the future of computing technology in which AI, in particular machine learning and agent technology, plays an essential role. We want to thank the organizers of IJCAI 2007 for their support in the organization of the Workshop on AI for Human Computing.

Spis treści

Foundations of Human Computing.- Foundations of Human Computing: Facial Expression and Emotion.- Instinctive Computing.- Sensing Humans for Human Computing.- Human Computing and Machine Understanding of Human Behavior: A Survey.- Audio-Visual Spontaneous Emotion Recognition.- Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition.- Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning.- Trajectory-Based Representation of Human Actions.- Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations.- Modeling Influence Between Experts.- Anthropocentric Interaction Models for Human Computing.- Social Intelligence Design and Human Computing.- Feedback Loops in Communication and Human Computing.- Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications.- Gaze-X: Adaptive, Affective, Multimodal Interface for Single-User Office Scenarios.- SmartWeb Handheld — Multimodal Interaction with Ontological Knowledge Bases and Semantic Web Services.- A Learning-Based High-Level Human Computer Interface for Face Modeling and Animation.- Challenges for Virtual Humans in Human Computing.- Affect Detection and an Automated Improvisational AI Actor in E-Drama.

O autorze

Alex "Sandy" Pentland directs MIT's Human Dynamics Laboratory and the MIT Media Lab Entrepreneurship Program and co-leads the World Economic Forum Big Data and Personal Data initiatives. He helped create and direct MIT's Media Laboratory, the Media Lab Asia laboratories at the Indian Institutes of Technology, and Strong Hospital's Center for Future Health. His research group and entrepreneurship program have spun off more than thirty companies to date. In 2012 Forbes named Pentland one of the seven most powerful data scientists in the world. His research has been featured in Nature, Science, and Harvard Business Review.