Aarhus University - Digital Innovation Conference
Coronavirus update
Due to the coronavirus the festival has been postponed from May to the fall 2020.
The exact new dates will be available soon.
A two-day conference about cutting edge research and appliance of new knowledge in the industry. .
TENTATIVE PROGRAM
Postponed
8.45-9.15 Registration and coffee
9.15 Conference opening and opening keynote
10.30-11.00 Coffee Break
11.00 Session 1: Digital action on climate
12.30-13.30 Lunch Break
13.30 Session 2: Trust and Security
Anders Albrechtslund
Associate Professor
School of Communication and Culture
Aarhus University
15.30 Session 3: Digital Value Creation
17.00 Wrapping Up, Day 1
Official ending the conference program and making the transition to the Open Katrinebjerg event
Visit student and research labs at Katrinebjerg.
Postponed
8.45-9.15 Registration and coffee
9.15 Day 2 Opening: To be announced
10.30-11.00 Coffee Break
11.00 Session 4: Physical Computing, IoT and Smart Cities
Eve Hoggan
Assoicated Professor
Department of Computer Science
Aarhus University
12.30-13.30 Lunch Break
13.30 Session 5: Emerging Computing Paradigms
Hans Gellersen
Assoicated Professor
Department of Computer Science
Aarhus University
How does your brain react to Virtual Reality? Can your smartwatch detect your levels of stress? What is the potential value of your eye-tracking data? — Answering these questions requires a bridge between science and marketing. We will talk about how companies are using a combination of brain scanners, eye tracking, and AI to understand how people make decisions.
Alex Lopera is a Research project manager at Neurons Inc. He has a background in Psychology and Neuroscience. His latest projects include measuring brain responses to Virtual Reality, using EEG and heart rate to detect stress at work, and using AI to predict human attention. He consults global brands such as Ikea, Facebook or Booking.com on how to understand their consumers’ decision making.
What you look at predicts what products you choose, but what predicts what you look at? We know, for instance, that products in eye height are looked at more often, but many other factors also influence our attention. We will talk about algorithms that predict when and where you look, and how these algorithms can be used to improve the design of stores, products, and advertisements.
Jacob Lund Orquin
Associate Professor
Department of Management
Aarhus University
Jacob L. Orquin is Professor at Aarhus University and his main research interest is the intersection between decision-making and eye movement control. He has published in top journals in psychology and business including PNAS, Psychological Science, Psychological Bulletin, and Journal of Business Ethics. Jacob is associate editor at Acta Psychologica and guest editor at Journal of Business Research.