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Modeling empathy in social human-robot interaction

Slebos, Stijn (2020) Modeling empathy in social human-robot interaction.

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Abstract:In the development of robotics, empathy appears to be an important aspect of social interactions. Empathy can facilitate the adaptation of robots in human environments. This thesis' goal is to model the workings of empathy in a social robot and explore different methods for future application. The field of knowledge representation and reasoning provides a lot of new insights for the future of robotics and could very likely be part of a future robots' brain. An ontology is a way of representing knowledge and different ontology-based methods are compared for different applications. The ORO ontology (and minimalKB framework) are evaluated most suitable for this project. A model is designed in an iterative fashion using different diverging methods that facilitate the so-called bottom-up approach. The method that is developed and presented is a theoretical picture of empathy in a robotic system. This model can be used in the development of empathy in robots. Finally, cooperation with J.Kuiken resulted in a model for empathy using associative memory; which is ready for further development.
Item Type:Essay (Bachelor)
Clients:
Unknown organization, Enschede, Nederland
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Creative Technology BSc (50447)
Link to this item:http://purl.utwente.nl/essays/82078
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