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Anxiety detecting robotic system – towards implicit human-robot collaboration

Published online by Cambridge University Press:  05 January 2004

Pramila Rani ,
Nilanjan Sarkar ,
Craig A. Smith  and
Leslie D. Kirby
Pramila Rani
Affiliation:
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235 (USA).
Nilanjan Sarkar
Affiliation:
Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235 (USA). Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235 (USA). nilanjan.sarkar@vanderbilt.edu
Craig A. Smith
Affiliation:
Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37235 (USA).
Leslie D. Kirby
Affiliation:
Department of Psychology, Vanderbilt University, Nashville, TN 37235 (USA).
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Abstract

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A novel affect-sensitive human-robot cooperative framework is presented in this paper. Peripheral physiological indices are measured through wearable biofeedback sensors to detect the affective state of the human. Affect recognition is performed through both quantitative and qualitative analyses. A subsumption control architecture sensitive to the affective state of the human is proposed for a mobile robot. Human-robot cooperation experiments are performed where the robot senses the affective state of the human and responds appropriately. The results presented here validate the proposed framework and demonstrate a new way of achieving implicit communication between a human and a robot.

Keywords

Anxiety detectionHuman-robot frameworkAffect recognitionControl architecture
Type
Research Article
Information
Robotica , Volume 22 , Issue 1 , January 2004 , pp. 85 - 95
Copyright
© 2004 Cambridge University Press