Effect of Shared-attention for Human-Robot Interaction Junji Yamato email@example.com 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
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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)