10:30-12:00 on Wednesday, Second Semester
Lecture Room #3, Research Building #7
Conversational interaction is considered to be a powerful communication means for intelligent actors, either natural or artificial, to interact each other to act as a collective intelligence. In this course, we study the mechanism of conversational interactions with verbal and nonverbal cues from computational points of view and discuss key issues in designing conversational systems that can interact with people in a conversational fashion.
- Introduction (October 4) Nishida
- Cognitive Interaction Design (October 11) Ohmoto
- History of Conversational Systems (October 18) Nishida
- Methodologies for Conversational System Development (October 25) Nishida
- Affective Computing (November 1) Nishida
- Theory of Mind (November 8) Nishida
- Smart Conversation Space (November 15) Ohmoto
- Measurement, Analysis and Modeling (November 22) Ohmoto
- Learning by Imitation – 1 (November 29) Nishida
- Learning by Imitation – 2 (December 6) Nishida
- Aspects of Conversation – 1 (December 13) Nishida
- Aspects of Conversation – 2 (December 20) Nishida
- Aspects of Conversation – 2 (December 27) Nishida
- Synergy and Wrap up (January 10) Nishida
- Textbook :
Toyoaki Nishida, Atsushi Nakazawa, Yoshimasa Ohmoto, Yasser Mohammad. Conversational Informatics―Data Intensive Approach with Emphasis on Nonverbal Communication, Springer 2014.
Yasser Mohammad and Toyoaki Nishida. Data Mining for Social Robotics – Toward Autonomously Social Robots, Springer 2015.
- Additional materials will be provided by lecturers.
Will be awarded based on a report on subjects given at the class. Due date (January 31st, 2017)
- Students will develop fundamental knowledge, including the history of the field and potential applications, for learning more advanced subjects on human-agent interaction.
- Students will obtain minimal skill for conducting experiment to take an empirical approach to human-agent interaction.