International Journal of Engineering Research in Electrical and Electronic Engineering (IJEREEE)

Robot Sensor Data Platform to Measure Interactive Reactions to a Human

Author : Harish Revankar ¹ Abhishek Priyadarshi ² Sanket Pattar ³ Arjun Basutkar ⁴

Date of Publication :7th January 2016

Abstract: This study investigates a methodology using sensor data from a humanoid robot to interpret a human’s feelings towards a social interaction with the robot. Subjects of diverse backgrounds taught the robot how to play a rock-paper-scissors game while the robot discreetly took measures of hand temperature, tactile pressure, forces, and face distance. Before and after the interaction, surveys were administered to measure the subject’s technophobia level and reactions to the robot. Several correlations were found between the questionnaire data and sensor data, following tendencies supported by previous research and psychological studies. The usage of robot sensor data may provide a quick, natural, and discreet alternative to survey data to analyze user feelings towards a social interaction with a humanoid robot. These results may also guide roboticists on the design of humanoid robots and sensors able to measure and react to their users.

Reference :

1. Paulhus D.L. Measurement and control of response bias. In J.P. Robinson, P.R. Shaver & L.S. Wrightsman (Eds.), Measures of personality and social psychological attitudes (pp.17-59). San Diego, CA: Academic Press, Inc. 1991
2. Leyzberg, D., Avrunin, E., Liu, J., and Scassellati, B. 2011. Robots that express emotion elicit better human teaching. In Proceedings of the 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2011: Lausanne, Switzerland, March 6 – 9).
3. Straub, I., Nishio, S., and Ishiguro, H. 2010. Incorporated identity in interaction with a teleoperated android robot: a case study. In Proceedings of the 19th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2010: Viareggio, Italy, September 13 – 15): 119-124.
4. Munekata, N., Yoshida, N., Sakurazawa, S., Tsukahara Y., and Matsubara, H. 2006. Design of positive biofeedback using a robot’s behaviors as motion media. Lecture Notes in Computer Science, 2006, Vol 4161: 340-349.
5. Brown, B.B. 1977. Stress and the art of biofeedback. Harper & Row: New York.
6. Mittelmann, B. and Wolff, H.G. 1939. Affective states and skin temperature: experimental study of subjects with “cold hands” and Raynaud’s Syndrome. Psychosomatic Medicine, 1: 271-292.