eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research (Wienrich and Latoschik, 2021)
The article provides a theoretical treatment and model of human-AI interaction based on an XR-AI continuum as a framework for and a perspective of different approaches of XR-AI combinations. It motivates XR-AI combinations as a method to learn about the effects of prospective human-AI interfaces and shows why the combination of XR and AI fruitfully contributes to a valid and systematic investigation of human-AI interactions and interfaces. Further, our approach introduces two paradigmatic implementations of the proposed XR testbed for human-AI interactions and interfaces and shows how a valid and systematic investigation can be conducted. In sum, the article opens new perspectives on how XR benefits human-centered AI design and development.
AI Literacy – Mindless Interaction and Innovative Trainings (Project MOTIV)
Many users or future users do have abstract ideas of what AI is. AI dystopias or utopias often sketch at least a skewed image of the principles and the potentials and risks of AI. In the worst case, they even lead up to mindless interactions. The MOTIV team develops new approaches to assess the potential misperceptions and mindless interaction. Based on those analyses, we design innovative AI literacy training programs.