How to Provide a Dynamic Cognitive Person Model of a Human Collaboration Partner to a Pepper Robot

For a successful and trustful human-robot interaction the challenge is to provide the robot with information to dynamically adapt appropriately to a person and changing situations. Cognitive architectures such as ACT-R provide valuable capabilities to address this challenge. This paper gives an example on how exactly cognitive architectures can be used to provide better human-robot interaction. First, this paper shows how mental representations can be build up to anticipate the partner and the situation in order to collaborate adaptively. Second, it is shown how to integrate a model with a robot in a simple way. And third, an example is shown how emotion recognition can be used as an example of adapting the interaction accordingly by using perceived changes in the real world. As results the paper gives instructions, concepts and usecase examples on the realization of the different aspects. The paper encourages further research on how cognitive architectures can address challenges in human-aware AI.