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, "Investigating Human-Machine Cooperation", Colloquium at the Center for Cognitive Science (TU Darmstadt), 2023.
AbstractIntelligent systems have become prevalent in everyday life and keep developing at a high pace. Many of these systems do not act autonomously but operate in interaction with human users. Recent HMI research has hypothesized that such an interaction between human and machine is best reached by designing the system to behave cooperatively towards the human user (Bengler, 2012, Bütepage, 2017, Krüger, 2018, Sendhoff, 2020). In this talk, I will intro...
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Tim Puphal, Ryohei Hirano, Raphael Wenzel, Malte Probst , Akihito Kimata , "Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning", IEEE International Symposium on Robot and Human Interactive Communication, 2023.
AbstractDriver support systems that include human states in the support process is an active research field. Many recent approaches allow, for example, to sense the driver’s drowsiness or awareness of the driving situation. However, so far, this rich information has not been utilized much for improving the effectiveness of support systems. In this paper, we therefore propose a warning system that uses human states in the form of driver errors and can war...
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Sandra Ittner, Dominik Mühlbacher, Mark Vollrath, Thomas H Weisswange , "Co-DAS: Developing a Co-Driver Assistance System to Reduce Passenger Discomfort ", Frontiers in Psychology, vol. 14, pp. 17, 2023.
AbstractThe front seat passenger is often neglected when developing support systems for cars. There exist few examples of systems that provide information or interaction possibilities specifically to those passengers. Previous research indicated that the passive role of the passenger can frequently lead to a feeling of discomfort, potentially caused by missing information and missing control with respect to the driving situation. This paper proposes a va...
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Stefan Menzel, Yew Soon Ong, Yaochu Jin, Bernhard Sendhoff , "Special Session on Generative AI and Heuristic Optimization", IEEE Congress on Evolutionary Computation, 2023.
AbstractGenerative AI and Large Language Models as groundbreaking technological innovations promise to redefine the boundaries of contemporary science and engineering. Their capabilities to produce e.g., context-sensitive text, knowledge-based answers, software code, images, music and 3D assets from text prompts and image inputs create opportunities for a manifold of disciplines. Through the training on large data, these models conserve knowledge, identi...
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Matti Krüger, Vanessa Krüger, Taisuke Mukai , "Evaluation of Interfaces for Augmenting a Driver's Ability to Anticipate Front Risks in Real Traffic", 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023.
AbstractEffective alerts are often subject to a tradeoff between relevance and utility. While it is easier to acknowledge the relevance of a warning about an imminent hazard than a more distant threat, the possibilities to act appropriately in response to notifications decrease with threat distance. To benefit from the advantages of early notifications without creating annoyance and ignorance, we introduce a variety of Human-Machine Interfaces that pr...
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Takahiro Matsuoka, Tsuyoshi Nojiri, Vanessa Krüger, Matti Krüger , "Novel interfaces that enhance a driver’s ability to perceive forward collision risks", 27th International Technical Conference on the Enhanced Safety of Vehicles (ESV), 2023.
AbstractForward Collision Warning (FCW) systems that alert a driver about the risk of rear-end collisions can contribute to a reduction of traffic accidents caused by human errors. Typically, FCWs create alerts that appear late when the risk is already high and are of binary nature, i.e., either in an alerting state during high risk or not producing any alert at lower risks. The choice at what risk level to start alerting in a binary manner is subject to...
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Antonello Ceravola and Frank Joublin , "Exploring AI Architectures in the Age of LLM", Generative AI Europe 2023, 2023.
AbstractIn this talk we present at the Generative AI conference the HRI-EU institute at first, then we recap the evolution of AI in the trends of LLM and their applicability in different domains and products. We touch on the main exposed limitation of LLM and a sample of the different solution the community and the different AI companies came to. We then pick 3 investigated use-cases HRI-EU did on the usage of generative AI: Text to 3D generation in car ...
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Felix Lanfermann, Thiago de Jesus de Araujo Rios, Stefan Menzel , "AI-assisted Design Optimization and Data Analysis", Honda Technical Forum 2023, 2023.
AbstractThe current advances in generative artificial intelligence has large impact on a variety of fields, such as knowledge assessment, story writing, image and object generation, co-programming among others. The generative capabilities are especially advantageous for cooperative creativity and such will influence industrial design but also further engineering applications. Here, we provide an overview on our current research on text-to-3D models as sh...
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Andreas Neofytou, Jaeyub Hyun, Mariusz Bujny, Thiago de Jesus de Araujo Rios, Stefan Menzel, Hyunsun Alicia Kim , "A Modularized Level Set Topology Optimization Methodology For Vibro-acoustic Problems", AIAA SciTech Forum, 2023.
AbstractA modularized level set topology optimization methodology is used to solve vibro-acoustic topology optimization problems. The main objective is to minimize the sound pressure generated by vibrating structures at predefined locations within specified frequency ranges in an interior domain. The plug-and-play style architecture provides freedom to choose from a variety of software for the solution of the governing equations. Taking advantage of this...
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Bernhard Sendhoff, Felix Ocker, Nikolay Matyunin, Stefan Menzel , "The Future is Now? Generative AI: Introduction - Impact – Outlook ", Honda Technical Forum 2023, 2023.
AbstractGenerative AI and Large Language Models as groundbreaking technological innovations promise to redefine the boundaries of contemporary science and engineering. Their capabilities to produce e.g. context-sensitive text, knowledge-based answers, software code, images, music and 3D assets from text prompts and image inputs create opportunities for a manifold of disciplines. In addition, their natural language-based interfaces allow for intuitive dia...
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