Abstract
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.
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Notes
- 1.
For more understanding of how the actions were extracted and assigned a valenced value, please refer to our previous paper [10].
- 2.
In this experiment, we are concerned about only the emotions/responses of the robot in reaction to the actions of Tom. Hence, we are enumerating only the actions of Tom towards the robot. These actions will be used to trigger the emotions of EEGS system in the simulated robot.
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Acknowledgements
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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Ojha, S., Gudi, S.L.K.C., Vitale, J., Williams, MA., Johnston, B. (2019). I Remember What You Did: A Behavioural Guide-Robot. In: Kim, JH., et al. Robot Intelligence Technology and Applications 5. RiTA 2017. Advances in Intelligent Systems and Computing, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-78452-6_23
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DOI: https://doi.org/10.1007/978-3-319-78452-6_23
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