First Pitcher: Anton Eriksson, Postgraduate student at Department of Physics and Icelab, Umeå University.
Title: Visualization of change in nested labelled data for qualitative analysis
Complex systems researchers use so called alluvial diagrams to study change. These alluvial diagrams highlight how the functional parts of a system evolve. A visual approach to communicate and analyze change when working with labelled data can reveal where change has happened, compared to a computing distance metric.
Recently, this type of visualization was also used by researchers in other fields to do qualitative analysis.
My pitch will show an interactive visualization applied to two different data sets: the evolving map of science, and how teachers achieve merits at Umeå University. This visualization method could be useful for other questions and other disciplines.
Anton’s research question: Do you have data that you want to find your story in?
Second Pitcher: Esteban Guerrero, Researcher at Department of Computing Sciences, Umeå University.
Title: Coaching systems based on Artificial Intelligence – towards intelligent companions
An intelligent coaching system is a type of interactive technology oriented to support human activities. In order to be a personal companion, the software behind these systems need human-like capabilities such as adaptability, changing the output when it detects changes in human activity achievement; and proactivity, inferring and learning the status of a person’s activity and her/his environment without an explicit order. We explore mechanisms of Artificial Intelligence for learning and reasoning for building intelligent companions. In this talk, we address the research question: how can proactivity be achieved as a software mechanism?
Esteban’s questions: Is there any ethical issue regarding support people using AI? How to reach proactiveness and reactiveness, learning + reasoning AI for coaching systems?