Keynotes
How to build a theory of the artificial mind - Improving interactions of Humans with AI
Time: tbdProf. Nicole Krämer
Chair of Social Psychology: Media and Communication, University of Duisburg-Essen, Germany
Research Center 'Trustworthy Data Science and Security', University Alliance Ruhr, Germany
Abstract: In human-human communication, theory of mind (or perspective taking, mentalizing) describes the ability to reconstruct the mental processes, beliefs, emotions and attitudes of other people.
While this is incredibly helpful to develop joint goals and a joint understanding with fellow humans, this must necessarily fail when trying to understand the "minds" of machines as the semantics of machine "intelligence" is different from human intelligence - even with approaches like neural networking which tries to emulate biological intelligence.
Still human users will be tempted to apply procedures and techniques of human-human interaction to automated systems since a) these increasingly execute tasks that are similar to human functioning (deciding, advising, recommending, guiding) and b) humans have been shown to have difficulties in trying to build a theory of the artificial mind. The talk will discuss which mental models humans have about machines and how humans can be enabled to build more accurate "theories of the artificial mind".
Bio: Nicole Krämer is Full Professor of Social Psychology, Media and Communication at the University of Duisburg-Essen, Germany, and co-speaker of the Research Center "Trustworthy Data Science and Security". She completed her PhD in Psychology at the University of Cologne in 2001.
Dr. Krämer´s research focuses on human-technology-interaction and computer-mediated-communication.
She investigates processes of information selection, opinion building, and relationship maintenance in social media.
She served as Editor-in-Chief of the Journal of Media Psychology and currently is Associate Editor of the Journal of Computer Mediated Communication.
The Human Engineer's Toolbox
Time: tbdProf. Niels Taatgen
Director of the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
University of Groningen, Netherlands
Abstract: In human-computer interaction, principles from psychology are used to provide guidelines for design. However, these guidelines often remain very general. Cognitive models, which are detailed simulations of human performance, can help to provide more specific and quantitative constraints.
A first example of a successful modeling paradigm is threaded cognition, and theory of human multitasking that can make precise predictions about performance on multiple tasks given performance on single tasks.
A second example is cognitive skill theory, which can explain how people are able to perform new tasks by composing skills they have already mastered in a different context. I will discuss how this can be applied in education.
Bio: Niels Taatgen is the research director of the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen (UoG) in the Netherlands. He has degrees in both computer science and psychology and was one of the founders of the interdisciplinary bachelor's and master's degrees in artificial intelligence (AI) at UoG.
In his research, he investigates human multitasking, transfer learning, machine learning, neuromorphic computing and the application of AI in education. He has been the recipient of a prestigious European Research Council (ERC) grant and has been Teacher of the Year at the UoG.
