I Remember What You Did: A Behavioural Guide-Robot

  • Suman OjhaEmail author
  • S. L. K. Chand Gudi
  • Jonathan Vitale
  • Mary-Anne Williams
  • Benjamin Johnston
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 751)


Robots are coming closer to human society following the birth of emerging field called Social Robotics. Social Robotics is a branch of robotics that specifically pertains to the design and development of robots that can be employed in human society for the welfare of mankind. The applications of social robots may range from household domains such as elderly and child care to educational domains like personal psychological training and tutoring. It is crucial to note that if such robots are intended to work closely with young children, it is extremely important to make sure that these robots teach not only the facts but also important social aspects like knowing what is right and what is wrong. It is because we do not want to produce a generation of kids that knows only the facts but not morality. In this paper, we present a mechanism used in our computational model (i.e EEGS) for social robots, in which emotions and behavioural response of the robot depends on how one has previously treated a robot. For example, if one has previously treated a robot in a good manner, it will respond accordingly while if one has previously mistreated the robot, it will make the person realise the issue. A robot with such a quality can be very useful in teaching good manners to the future generation of kids.


Social robots Emotion EEGS Memory Positivity Response bias Child behaviour 



This research is supported by an Australian Government Research Training Program Scholarship. We are thankful to the University of Technology Sydney; ARC Discovery Project scheme; and CBA-UTS Social Robotics Partnership.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Suman Ojha
    • 1
    Email author
  • S. L. K. Chand Gudi
    • 1
  • Jonathan Vitale
    • 1
  • Mary-Anne Williams
    • 1
  • Benjamin Johnston
    • 1
  1. 1.Centre for Artificial Intelligence - The Magic LabUniversity of Technology SydneyUltimoAustralia

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