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Title: Designing Biosignal-Adaptive Systems for Remote Meetings Speaker: Alexander Mädche (KIT) Date: Tuesday 18 February 2025, 15:00-16:00 Abstract: Remote meetings as a modern way of work are widespread due to distributed team setups. While there are various benefits in terms of time savings, reduced travel costs and emissions, there are also negative outcomes such as a lack of engagement or increased fatigue. To gain deeper insights about remote meetings and their participants affective and cognitive states, continuous user data, specifically in the form of biosignals, can be leveraged. These biosignals are defined as signals produced by a living organism, measurable using sensor technology (e.g. ECG or eye-tracking). Based on such insights, biosignal-adaptive systems that dynamically adapt to users can be designed for remote meetings. In my talk, I present the results of a series of studies about this topic that have been carried out in the last years as part of the DFG-funded graduate school KD2School and the associated Karlsruhe Decision & Design Lab (KD2Lab). Bio: Prof. Dr Alexander Maedche is a full professor at Karlsruhe Institute of Technology (KIT), Germany. He heads the human-centered systems lab (h-lab, https://h-lab.win.kit.edu/) and is the spokesperson of the Institute for Information Systems (WIN, https://www.win.kit.edu/). His research work is positioned at the intersection of Information Systems and Human-Computer Interaction (HCI) and focuses on designing human-centered systems for better work and life. Current research topics are conversational assistance, personalised enterprise systems, biosignal-adaptive systems, and human-computer co-creation. His work has been published in leading conferences such as CHI, CSCW, ICIS and journals such as Information Systems Research (ISR), Management Information Systems Quarterly (MISQ), Journal of the Association for Information Systems (JAIS), IEEE Transactions on Affective Computing, ACM Transactions on Interactive Intelligent Systems, and International Journal of Human-Computer Studies (IJHCS).