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Kognitive Modellierung in dynamischen Mensch-Maschine-SystemenKolloquium

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Kolloquium

Gemeinsames Kolloquium des Fachgebiets Kognitionspsychologie und Kognitive Ergonomie und des Fachgebiets Kognitive Modellierung in dynamischen Mensch-Maschine-Systemen

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Thema: Kolloquium Kognitionspsychologie
Uhrzeit: Mittwochs 16 - 18 Uhr

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Meeting-ID: 677 0301 9266
Kenncode: 746458
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Meeting-ID: 677 0301 9266
Kenncode: 746458
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Kenncode: 746458
Meeting-ID: 677 0301 9266

Kolloquium Sommersemester 2022
Tag
Thema / Vortragender
27.04.2022
Collaborative manual tasks in distributed virtual enviroments
Sebastian Keppler, HTW Berlin

04.05.2022
Autonomous Systems: Comprehending Users and Shaping Interaction
Philipp Beckerle, FAU

11.05.2022
Design of External Human-Machine Interfaces (eHMIs) for Automated Vehicles' Communication with Pedestrian
Merle Lau, DLR Braunschweig

18.05.2022
The Revolution in Sleep Tracking and New Methodologies to Measure and Potentially Enhance Sleep
Dan Gartenberg, Dan Roberts, GMU, Penn State
25.05.2022
Cognitive Models for Building Adaptive Human-Machine Teams
Coty Gonzales, CMU
01.06.2022
Sequential Task anticipation
Giacomo Zamprogno, Airbus, Univ. of Bologna

08.06.2022
Cognitive modeling of drivers’ decision making in traffic interactions
Arkady Zgonnikov, Department of Cognitive Robotics Delft University of Technology
15.06.2022
Investigating the impact of different levels of user participation on acceptance of social educational robots
Carola Weidmann, TU Berlin

22.06.2022
Requirements analysis of a gamified interface as exercise feedback in older adults during chronic back pain therapy
Lisa Mesletzky, TU Berlin

29.06.2022
Applying implicit measures of mind perception to social robotics
Zhenni Li, TU Berlin

06.07.2022
Comparison of methods of knowledge transfer on the intention to use the alternative means of transport e-cargo bike
Anne Breitkreutz, TU Berlin

13.07.2022
Cognitive modeling of intention recognition in human-robot interaction
Janice Jansen, TU Berlin

20.07.2022
Investigating time as predictive cue in computer games
Johanna Bogon, Uni Regensburg

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