Medical Assistance Systems
Floka-Simulation
The virtual agent Floka is a representation of the humanoid robot head Floka. This simulation platform allows us to conduct various scenarios of human-robot interaction. The simulation has been developed using the Unity3D Game Engine [1] in conjunction with the Unity-Robotics-Hub [2]. By using ROS as the interface for robot simulation, functions can be developed that can be used for both simulated and real robots, promoting reusability. Our ongoing efforts are focused on improving the processing of sensory inputs and adaptive responses for Floka to enable a seamless and natural dialogue between humans and the agent.
Projects
- A03 - Co-construction of explanations with emotional orientation between AI-explainers and human recipients of explanations
© Bielefeld University In project A03, the researchers include the aspect of emotion in the explanation process: How do emotions influence the perception of an AI explanation? What decisions do people make with the help of artificial intelligence in risk situations? How can explanations be adapted to the emotional state of humans? The computer scientists and economists are investigating how emotions such as joy and fear affect understanding processes and decisions. Their goal is to develop a model for an intelligent machine that recognises emotions and takes them into account in explanation processes.
- A05 - Contextualised and online parameterisation of attention in human-robot explanatory dialogue
© Bielefeld University Project A05 deals with human-robot interaction and analyses how attention can be directed in the explanation process. The aim of the experimental investigations is to understand whether certain types of attention guidance at the micro and task level of the interaction lead to different characteristics of the attention parameters in humans. These can then be implemented in the behaviour of a robot in terms of scaffolding and monitoring. The investigations on the task level deal with the history of the interaction, which is a prerequisite for the emergence of a social practice.
- ADHD attention training with the virtual agent Flobi (RoboCamp)
© Bielefeld University The ADHD attention training with the virtual agent Flobi (RoboCamp) is tailored to patients with ADHD. They have a deficit due to delayed reward processing to learn positive or negative consequences (delay aversion due to delayed reward). Therefore, they need a prompt immediate reward or negative consequence. In human-human interaction, an intensive, effective behavioural therapy training programme for children and adolescents with ADHD (the Summer Camp) has been shown to have lasting effects. The main feature of the training is an intensive response cost intervention (RCI).
