Emotion in Robot Decision Making

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 447)

Abstract

Social robots are expected to behave in a socially acceptable manner. They have to accommodate emotions in their decision-makings when dealing with people in social environments. In this paper, we present a novel emotion mechanism that influences decision making and behaviors through attention. We describe its implementation in a cognitive architecture and demonstrate its capability in a robot companion experiment. Results show that the robot can successfully bias its behaviors in order to make users happy. Our proposed emotion mechanism can be used in social robots to predict emotions and bias behaviors in order to improve their performances.

Keywords

Emotion Subjective bias Decision making 

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Centre for Quantum Computation & Intelligent Systems (QCIS)University of Technology SydneySydneyAustralia

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