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Lecture

Computational User Modelling

Date
Friday 10 February 2023
Time
Address
Snellius
Niels Bohrweg 1
2333 CA Leiden
Room
312

Human-AI collaboration has significant potential to transform our lives by complementing human abilities and, for example, supporting decision-making or enhancing creativity. However, an essential requirement to enable successful human-AI collaboration is an understanding of the users' behaviour, characteristics, or preferences. In this presentation, I will give an overview of my research on sensing, understanding, and computational modelling of users' interactive behaviour. My talk will focus on human attention, a fundamental characteristic of human behaviour relevant in human-computer interaction and beyond. I will show how robustly sensing user attention allows us to gain novel insights into everyday attentive behaviour. I will also discuss how modelling human attention computationally enables applications in intelligent user interfaces. This line of research contributes to the vision of human-AI collaboration, which, rather than replacing humans, aims at understanding, augmenting, and supporting humans in their everyday tasks. 

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