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The Bosch IoT Lab investigates business models in the Internet of Things (IoT) and explores disruptive IoT products and services. In the realm of our business model research activities, we derive actionable insights to manage the digital transformation of large manufacturing companies. In the domain of technology and business incubation, we investigate the potential of the IoT, machine learning and blockchain to develop and validate disruptive solutions in the domains of mobility, health and energy. Ultimately, our mission is to support Bosch scale its IoT business, advance scientific knowledge, and create a meaningful impact for the better. The lab is a research initiative of:

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Deuber, R., Langer, P., Kraus, M., Pfäffli, M., Bantle, M., Barata, F., von Wangenheim, F., Fleisch, E., Weinmann, W., Wortmann, F., Moving Beyond the Simulator: Interaction-Based Drunk Driving Detection in a Real Vehicle Using Driver Monitoring Cameras and Real-Time Vehicle Data, In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI ’25). Association for Computing Machinery, New York, NY, USA, Article 84, 1–25. 10.1145/3706598.3714007 ***Best Paper***.

Brudermüller, T., Potthoff, U., Fleisch, E., Wortmann, F., Staake, T., Estimation of energy efficiency of heat pumps in residential buildings using real operation data, Nature Communications. [PDF]

Potthoff, U., Brudermüller, T., Hopf, K., Wortmann, F., Enabling optimization of heating curves for heat pumps in operation: outdoor temperature thresholds for energy-efficient heating curve shifts, Applied Energy (forthcoming).

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