Technological systems based on artificial intelligence increasingly permeate the everyday lives of many people. This often-mindless interaction leads to abstract and distorted ideas about the principles, risks, and potentials of AI-based technologies.
The project team investigates the state of understanding and misconceptions of users regarding intelligent voice assistants, which are understood as digital interaction partners. An overarching goal of the project is to identify relevant competencies and skills in dealing with intelligent systems as well as deficits that arise in this regard. The results of these investigations will lead to the development of adaptive training modules targeted for different groups. In this way, a confident and conscious handling of interactive AI systems without misconceptions will be fostered. Due to the high relevance of the project outcomes for different population groups, the knowledge gained in the project will be communicated in a targeted manner and stakeholders as well as multipliers will be addressed, too.
The complexity of the problem requires an interdisciplinary investigation, which is why the project team consisting of representatives from the disciplines of media psychology, human technology systems, and data science, is pursuing a stringent multimethod approach.
Dr. Astrid Carolus
Assistant Professor, Chair of Media Psychology, Institute for Human-Computer-Media | Julius-Maximilians-Universität Würzburg
Prof. Dr. Carolin Wienrich
Head of Group Human Technology Systems, Institute for Human-Computer-Media | Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Hotho
Head of Data Science Chair and Founding Spokesman of CAIDAS, Institute for Computer Science | Julius-Maximilians-Universität Würzburg
Yannik Augustin M.Sc.
Research Assistant, Chair of Media Psychology, Institute for Human-Computer-Media | Julius-Maximilians-Universität Würzburg
André Markus M.Sc.
Research Assistant, Human-Technology-Systems, Institute for Human-Computer-Media | Julius-Maximilians-Universität Würzburg
Jan Pfister M.Sc.
Research Assistant, Chair of Data Science, Institute for Computer Science | Julius-Maximilians-Universität Würzburg