10:30-12:00 on Wednesday, Second Semester
Lecture Room #3, Research Building #7
This course is jointly taught by Prof. Toyoaki Nishida and Prof. Yoshimasa Ohmoto.
Overview
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.
Agenda (planned)
- Introduction (October 4) Nishida
Slides - Cognitive Interaction Design (October 11) Ohmoto
slides - History of Conversational Systems (October 18) Nishida
Slides - Methodologies for Conversational System Development (October 25) Nishida
Slides - Methodologies for Conversational System Development (November 1) Nishida
<Slides: the same as the one for October 25th> - Methodologies for Conversational System Development (November 8) Nishida
<Slides: the same as the one for October 25th> - Smart Conversation Space (November 15) Ohmoto slides
- Measurement, Analysis and Modeling (November 22) Ohmoto slides
- (November 29) Nishida
Slides - Theory of Mind, Learning by Imitation (December 6) Nishida
Slides - Aspects of Conversation – 1 (December 13) Nishida
Slides - Aspects of Conversation – 2 (December 20) Nishida
(second half of the slide for December 13th) - Function of Nonverbal Behaviors in Conversation (December 27) Nishida
Slides - Synergy and Wrap up (January 10) Nishida
Interactive Session at Rm. 208 (Res. Bldg. #7) or vicinity
Slides (1), Slides (2)
Course materials
- Textbook :
Toyoaki Nishida, Atsushi Nakazawa, Yoshimasa Ohmoto, Yasser Mohammad. Conversational Informatics―Data Intensive Approach with Emphasis on Nonverbal Communication, Springer 2014.
http://link.springer.com/book/10.1007%2F978-4-431-55040-2 - Reading:
Yasser Mohammad and Toyoaki Nishida. Data Mining for Social Robotics – Toward Autonomously Social Robots, Springer 2015.
http://www.springer.com/us/book/9783319252308 - Additional materials will be provided by lecturers.
Credits
Will be awarded based on a report on subjects given at the class. Due date (January 31st, 2017)
Take-Home Knowledge
- 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.