The HCI field has contributed to the development of all contemporary user interfaces and will continue to do so in the future. Many commercial and societal solutions are however still developed without proper use of HCI methods and involvement of users, leading to huge and expensive IT failures. It is thus mandatory at a Danish level but also internationally to create more transparent, user centered and democratic societies, which propose alternatives to mainstream commercial technologies.
To increase the capacity in theoretical, empirical, and technological HCI research to sustain a high international impact.
The research will also create synergies with the AI and Algorithms themes in the development of explainable AI and Visual Analytics, with Advanced and Efficient Big Data Management and Analysis in putting the user in the loop of data management and use, hence emphasising collaborative HCI, and with the Cyber Physical systems theme in the development of HCI for physical products and environments, including multiple modalities as well as Augmented Reality visualisation of data etc. in physical environments.
Finally, there is a synergy with the Cybersecurity theme on usable security.
Today, robots and drones take on an increasingly broad set of tasks. However, such robots are limited in their capacity to cooperate with one another and with humans. This project aims to address multi-robot collaboration and design and evaluate technological solutions that enable users to engage and control autonomous multi-robot systems.
This project aims to identify safety and security requirements for IoT systems and develop algorithms for quantitative risk assessment and decision-making. The aim is furthermore to create tools for designing and certifying IoT security training programs that will enable Danish companies to obtain security certification for their IoT devices, thus giving them a lead in a market that is likely to demand such certification in the near future.
Remote and hybrid work will certainly be part of most work practices, but what should these future work practices look like? Should we merely attempt to fix what we already have or can we be bolder and speculate a different kind of workplace future? Together with companies, this project seeks a vision of the future that integrates hybrid work experiences with grace and decency.
Together with clinicians, this project aims to develop explanatory AI that can help medical staff make qualified decisions by taking the role as a mentor who provides feedback and advice for the clinicians. It is important that the explainable AI provides good explanations that are easy to understand and utilize during the medical staff’s workflow.
Professor
Aarhus University
Dept. of Computer Science
E: bodker@cs.au.dk
T: +45 87 15 61 48
Professor
University of Copenhagen
Department of Computer Science
Professor
Aalborg University
Department of Computer Science
Professor
University of Copenhagen
Department of Computer Science
Professor
Aalborg University
Department of Computer Science
Associate Professor
Aarhus University
Department of Computer Science
Assistant Professor
Aarhus University
Department of Computer Science
Associate Professor
IT University of Copenhagen
Department of Computer Science
Professor
IT University of Copenhagen
Department of Computer Science
Professor
Copenhagen Business School
Department of Digitalization
Associate Professor
Roskilde University
Department of People and Technology
Professor
University of Southern Denmark
The Maersk Mc-Kinney Moller Institute
