Human Computer Interaction, CSCW and InfoVis​

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.

Projects

Bridge project

HERD: Human-AI collaboration: Engaging and controlling swarms of robots and drones

How can we leverage the potential benefits of having multiple robots working in parallel to reduce time to completion? If robots are given the task collectively as a swarm, they could potentially coordinate their operation on the fly and adapt based on local conditions to achieve optimal or near-optimal task performance. Together with industrial partners, 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.

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Bridge project

REWORK – The future of hybrid work

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.

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Bridge project

SIOT – Secure Internet of Things – Risk analysis in design and operation

IoT devices are blending into the infrastructure of both society and our personal lives. However, many of these devices run in uncontrolled, potentially hostile environments, which makes them vulnerable to security attacks. 
Moreover, with the increasing number of safety critical IoT devices, such as medical and industrial IoT devices, IoT security is a public safety issue.

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Bridge project

EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education

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.

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Workstream manager

Aarhus University
Dept. of Computer Science

E: bodker@cs.au.dk
T: +45 87 15 61 48

Contributing researchers

University of Copenhagen
Department of Computer Science

Aalborg University
Department of Computer Science

University of Copenhagen
Department of Computer Science

Aalborg University
Department of Computer Science

Eve Hoggan

Associate Professor

Aarhus University
Department of Computer Science

Henrik Korsgaard

Assistant Professor

Aarhus University
Department of Computer Science

Louise Barkhuus

Associate Professor

IT University of Copenhagen
Department of Computer Science

IT University of Copenhagen
Department of Computer Science

Copenhagen Business School
Department of Digitalization

Nina Boulus-Rødje

Associate Professor

Roskilde University
Department of People and Technology

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute