Conversational Informatics (E) (2016)

10:30-12:00 on Wednesday, Second Semester
Lecture Room #3, General Research Building #7

This course is jointly taught by Prof. Toyoaki Nishida and Prof. Yoshimasa Ohmoto.


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)

  1. Introduction (October 5)  Nishida
  2. History of Conversational Systems (October 12) Nishida
  3. Methodologies for Conversational System Development (October 19, 26) Nishida
  4. Affective Computing (November 2) Nishida
  5. Theory of Mind (December 7) Nishida
  6. Smart Conversation Space (November 9) Ohmoto
  7. Measurement, Analysis and Modeling (November 16) Ohmoto
  8. Cognitive Design (November 30) Ohmoto
  9. Learning by Imitation (December 14) Nishida
  10. Aspects of Conversation -1- (December 21) Nishida
  11. Aspects of Conversation -2-  (December 28) Nishida
    (the first half of) slides
  12. Aspects of Conversation -3- (January 11) Nishida
    (the second half of) slides
  13. Storytelling, Games, and Conversation; Synergy and Wrap up (January 18) Nishida

Course materials

  1. Textbook :
    Toyoaki Nishida, Atsushi Nakazawa, Yoshimasa Ohmoto, Yasser Mohammad. Conversational Informatics―Data Intensive Approach with Emphasis on Nonverbal Communication, Springer 2014.
  2. Reading:
    Yasser Mohammad and Toyoaki  Nishida. Data Mining for Social Robotics – Toward Autonomously Social Robots, Springer 2015.
  3. 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)

Take-Home Knowledge

  1. Students will develop fundamental knowledge, including the history of the field and potential applications, for learning more advanced subjects on human-agent interaction.
  2. Students will obtain minimal skill for conducting experiment to take an empirical approach to human-agent interaction.