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developments to real-world hospitality contexts. Examples include VR-based classes, immersive learning environments, AI applications, data-driven decision-making tools, and other innovative formats that prepare
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-world hospitality contexts. Examples include VR-based classes, immersive learning environments, AI applications, data-driven decision-making tools, and other innovative formats that prepare students for a
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to investigate whether standard and VR-supported olfactory training can improve olfactory function, cognitive functioning and related brain outcomes. In the end, this project will contribute to new
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for inclusive eHMIs. Design accessible VR simulators for people with disabilities. Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions. Conduct real-world testing
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, and how immersive virtual reality and behavioural data such as movement, interaction, and eye-tracking can be used to study this process. Specific research objectives Develop VR-based experimental tasks
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cognitive decline, and whether multisensory approaches can further enhance the benefits of training. The aim of this PhD project is to investigate whether standard and VR-supported olfactory training can
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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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following areas: Virtual, Augmented, and Mixed Reality (VR/AR/MR) Cognitive Modeling and Decision Making Motor Learning Artificial Intelligence and Machine Learning Wearable Technologies and sensors Human
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such as movement, interaction, and eye-tracking can be used to study this process. Specific research objectives Develop VR-based experimental tasks to study how people learn and update spatial