Investigating Human-Machine Cooperation
Christiane Wiebel-Herboth

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Date: Wednesday, 01.02.2023 15:20 CET

Location: Building S1|03 Room 223

Abstract:

Intelligent systems become more and more prevalent in everyday life. Many of these systems do not act autonomously but operate in interaction with human users. Recent human-machine interaction research suggests that such interactions are best reached by designing the system to behave cooperatively towards the human user (Bengler et al., 2012, Krüger et al. 2018, Sendhoff &Wersing, 2020). In this talk, I will introduce a theoretical framework for designing human-machine cooperation and link it to some recent empirical work on gaze-based user modelling and interaction design. In particular, to assess different user states and task demands, we explored the potential of a novel information-theoretic approach for scan path analysis.