Objectives: Robots are nowadays integrating capabilities which were not available in the recent past. The major change is the ability to have the robot share the workspace and tasks with humans, allowing to cooperate and act in society. A major subsystem of a social/collaborative robot is the human-machine interface, which may be grounded on different sensory modalities to exchange information. State of the art interfaces typically are speech-based, touch-based, or vision-based or combinations of these to allow interpreting, imitating or complementing the gestures of the user. The research will explore the interaction and complementarities between automation (including social/collaborative robots) and human machine cooperation. This ESR project will explore and pilot novel approaches to digitise human work and their effects on individual and organisational performance.

Expected results:

  1. Novel insights on human-machine cooperation and their effects on individual and organisational performance.
  2. Fundamental understanding of information-exchange via human-machine interfaces.
  3. Characterisation of the determinants of acceptability of human-machine interfaces.
  4. Design criteria for human-machine interfaces tailored to sensory modality and application scenarios.