Effect of Shared-attention for Human-Robot Interaction Junji Yamato [email protected] NTT Communication Science Labs., NTT Corp. Japan Kazuhiko Shinozawa, Futoshi Naya ATR Intelligent Robot and Communication Labs. Aim To build Social Robot/Agent Sub goal To establish Evaluation methods
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
NTT Communication Science Labs., NTT Corp. Japan
Kazuhiko Shinozawa, Futoshi Naya
ATR Intelligent Robot and Communication Labs.
for communication of human-robot/agent
• No “correct” answer
• Easy to be influenced
Blue or Green?
Cobalt green or emerald green?
Skin color or KARE-IRO?
SUMIRE-IRO or AYAME-IRO?
(from color name text book)
Detailed description of Experiment 1 and 2
Shinozawa, K., Naya, F., Yamato, J., and Kogure, K. Differences in Effect of Robot and Screen Agent Recommendations on Human Decision-Making , IJHCS (to appear)
Experiment 1, 2, and description of K4(robot)
Yamato, J., Shinozawa, K., Brooks, R., and Naya, F. Human-Robot Dynamic Social Interaction. NTT Technical Review 1, 6(2003), 37-43.
Back number -> Sep. 2003
• Conditions: 30 questions, 30 subjects in each group
‐Same question sequences, same voice, similar gesture
• Measurement: acceptance ratio, questionnaire
• Acceptance：agent > robot (p<.01)
Robot has more influence because it lives in 3D world,
same as subjects.
• selection ratio：robot > agent( p < 0.05)
robot>> no recommendation ( p < 0.01)
Embodiment and communication
Experiment 1 and 2: Results
Measure the effect of
eye contact and shared-attention
Example: Robot is prompting wrong choice. I feel the robot forced me to select his recommendation (negative).
Shared-Attention time (count) 50count=1sec.
（high AC group)