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Special Session on Human Symbiotic System

The 2009 IEEE International Conference on Fuzzy Systems (FUZZ IEEE 2009), August 2009, Jeju Island, Korea

This special session aims at discussing the basic principles and methods of designing intelligent interaction  with the bidirectional communication based on the effective collaboration and symbiosis between the human and the artifact, i.e. robots, agents, computer and so on.

The research society "Human Symbiotic System (HSS)" was established in the Japan Society for Fuzzy Theory and Intelligent Informatics on August in 2007 by the session organizers. This society aims at encouraging the academic and industrial discussion about the research on Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and Human-Computer Interaction (HCI) concerning Symbiotic System.

Reflecting the fact that this society covers a wide range of topics, in this session we invite the related researchers from a variety of fields including intelligent robotics, human-machine interface, Kansei engineering and so on. In addition, at this session some research results will be also presented by the core members of our research society.

Topics of interest include, but are not limited to theory and application of:

· Human-Agent Interaction (HAI)
· Human-Robot Interaction (HRI)
· Human-Computer Interaction (HCI)
· Social Communication or Interaction
· Human Communication
· Partner or Communication Robot
· Hospitality Robot
· Pet-type or Animal Robot
· Human Interface System
· Cooperative Intelligent
· Kansei Engineering

Papers are invited from prospective authors with interest on the related areas.

Submission Guideline
Submission deadline is February 1st 2009, for more details please refer to the conference website:
http://www.fuzz-ieee2009.org/

 

Session Program

Note: Following program is the final version. Please note that the published program on the web site of FUZZ-IEEE2009 was modified at the requests of the authors and the secretariat. Following bold typed 4 papers were moved. (17th August)

SS08A: Human Symbiotic System I
21st Aug. 10:30-11:50 Room (#402)
Session Chair: Prof. Yoichiro Maeda (Backup: Dr. Daisuke Katagami)
Time No. Session No. Authors Title
10:30-10:50 1354 S08A-1 Yoichiro Maeda and Yusuke Kajihara Automatic Generation Method of Twelve Tone Row for Musical Composition Used Genetic Algorithm
10:50-11:10 1401 S08A-2 Kouki Nagamune, Yasuro Kokubo and Hisatoshi Baba Computer-Assisted Desinging System for Fixation Plate
11:10-11:30 1247 S08A-3 Timothy C. Havens, Gregory L. Alexander, James M. Keller, Marjorie Skubic and Marilyn Rantz Fuzzy Contour Tracking of Human Silhouettes
11:30-11:50 1312 S08A-4 Junichi Kunieda and Yukinobu Hoshino Development of RC helicopter control skill Study Support System in consideration of User Interface

 

SS08B: Human Symbiotic System II
24th Aug. 11:00-12:40 Room (Samda B)
Session Chair: Dr. Daisuke Katagami (Backup: Prof. Yoichiro Maeda)
Time No. Session No. Authors Title
11:00-11:20 1113 S08B-1 Yasutake Takahashi, Kouki Shimada and Minoru Asada View Estimation Learning based on Value System
11:20-11:40 1379 S08B-2 Yasutake Takahashi, Yoshihiro Tamura and Minoru Asada Human Instruction Recognition and Self Behavior Acquisition based on State Value
11:40-12:00 1114 S08B-3 Hitoshi Nishi, Hidekazu Suzuki and Koji Taki Gait Learning Method for Quadrupedal Robot Based on Subjective Human Feeling
12:00-12:20 1440 S08B-4 Hidefumi Ohmura, Daisuke Katagami and Katsumi Nitta Development of Social Adaptive Agents in Simulation Game of Cross-cultural Experience

 

 

Session Organizers

Assistant Professor Daisuke Katagami
Professor Yoichiro Maeda
Department of Computational Intelligence and Systems Science
Interdisciplinary Graduate School of Science and Engineering
Tokyo Institute of Technology
J2-53 4259, Nagatsuta-cho, Midori-ku, Yokohama 226-8503, Japan
Phone&Fax: +81-45-924-5218
Email:
Department of Human and Artificial Intelligent Systems
Graduate School of Engineering
University of Fukui
3-9-1 Bunkyo, Fukui 910-8507, Japan
Phone&Fax: +81-776-27-8050
Email: