Project description
Technological systems based on artificial intelligence are increasingly permeating the everyday lives of many people. This often carefree interaction leads to abstract and distorted ideas about the principles, risks and potential of AI-based technologies.
The project team analysed the understanding and misconceptions of users with a focus on intelligent voice assistants, which are understood as digital interaction partners.
An overarching goal of the project was to identify relevant competences and skills in dealing with intelligent systems as well as any deficits in this regard. The results of these investigations led to the development of adaptive training modules for different target groups. The aim is to promote the confident and conscious use of interactive AI systems without misconceptions. Due to the high relevance of the project results for different population groups, the knowledge gained as part of the project was communicated to specific target groups and stakeholders and multipliers were addressed.
The complexity of the problem required an interdisciplinary investigation, which is why the project team, which is made up of representatives from the disciplines of media psychology, human-technology systems and data science, pursued a stringent multi-methodological approach.
Project team
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
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