Persuasive Robots - Exploring Behavioural Styles


Social robots are foreseen to be encountered in our everyday life, playing roles as assistant or companion (to mention a few). Recent studies have shown the potential harmful impacts of overtrust in social robotics [1], as robots may collect sensitive information without the user’s knowledge.


Behavioural styles allow robots to express themselves differently within the same context. Given a specific gesture, keyframe manipulation can be used in order to generate style-based variation to the gesture. Behavioural styles have been studied in the past to improve robot’s behaviour during human-robot interaction [2].

In this project, we will explore how behavioural styles can influence engagement, trust and persuasion during human-robot interaction.

Goals & Milestones

  • Implement behavioural styles for the Nao robot (voice and behaviour) and for a voice assistant (voice only)
  • Design at least two behaviour styles based on human behaviour and personality styles
  • Evaluate and compare these styles via experimentation
  • Design a scenario similar to the one described in paper [3]
  • Setup a data collection environment (posture, video and audio) in the HRI Lab facility of UNSW
  • Select appropriate tasks and/or questionnaires to measure engagement, trust and/or persuasion
  • Evaluate the system via an experiment with users
  • Complete the data analysis


Robotics, HRI, Psychology


  • Skills: Python, ROS and Git.


Senior Lecturer and ARC DECRA Fellow

My research interests include human-robot interaction, human-compter interaction and intelligent and autonomous systems.