Stine S. Johansen

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Areas of interest: Human-Computer Interaction, Interaction Design, Human-Robot Interaction, Theories and Methods of Design, Tangible and Embodied Design, Sound

B.Sc. Media Technology (Aalborg University)
M.Sc. Interactive Digital Media (Aalborg University)
Ph.D. Computer Science (Aalborg University)

Stine is a Postdoctoral Research Fellow in Human-Robot Interaction at Queensland University of Technology (QUT). She is part of the School of Design and the Australian Cobotics Centre (ACC). Her main research interests are in the areas of human-computer interaction (HCI), interaction design, and design methods. She completed her Ph.D. in Computer Science in 2021 at Aalborg University, Denmark. She has published in leading HCI outlets such as Transactions on Computer-Human Interaction (TOCHI), the Conference on Human Factors in Computing Systems (CHI), the Conference on Designing Interactive Systems (DIS), and the IFIP Conference on Human-Computer Interaction (INTERACT).

Stine’s current research focuses on human-robot interaction. With increasing possibilities for integrating robotic systems safely into industrial settings, Stine will investigate ways of supporting collaborative processes between humans and robots. She will do so from a human-centred design perspective.

Thesis Title: Australian Cobotics Centre

In conventional Human Robot Collaboration (HRC), safety has been paramount and humans are trained to simply use the robot as a tool. To increase the scope of genuine collaboration, operators need to interact safely with an industrial robot across the whole production cycle, with minimal need for training. Novel interaction approaches using multi-sensory interfaces, gesture control devices and augmented reality can reduce training costs, enable rapid prototyping, and make robots safer and easy to use in production tasks. The primary focus is to address how humans are made aware of the movement and intentions of robotic systems (mutual awareness & robotic intention visualisation), how to build toolkits for the rapid prototyping of collaborative robotic solutions, and how to leverage multimodal interaction, including Augmented Reality and Virtual Reality, with robotic systems.