Papers
15
Total Citations
89
H-Index
5
About
Simon Egerton is a researcher at the forefront of human-robot interaction and artificial intelligence, with a particular focus on using conversational agents to support mental health and occupational well-being. His most impactful work centers on developing a stress management framework that employs chatbots and robots to conduct natural conversations with healthcare professionals, deriving stress levels through a Sense of Coherence model. This framework, detailed in his highly cited 2018 paper (26 citations), represents a novel intersection of robotics, conversational AI, and psychological assessment. Egerton’s contributions extend to intuitive human-robot interaction, where he pioneered the use of marker-less augmented reality and visual SLAM to allow non-experts to control complex robots. He has also explored provocative themes in AI, such as the nature of free will through the "Jimmy" competition, and has investigated quantum computing’s potential for non-deterministic controllers. With a career spanning from foundational work on service robot mapping to cutting-edge chatbot persona selection for emotional support, Egerton’s research consistently bridges technical innovation with real-world human needs, making him a key figure in the development of empathetic, accessible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Chatbot for Peer Support Realization based on Mutual Care11 citations · 2020
- 3Jimmy: Searching for Free-Will (A Competition)10 citations · 2011
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- 6Chatbot Persona Selection Methodology for Emotional Support4 citations · 2023
- 7A diagrammatic framework for intuitive human robot interaction4 citations · 2016
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