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Field
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and reporting of data and results. Communicate and interact with the research group, as well as with collaboration partners from academia and industry. Write scientific publications and present
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the analogue and the digital. A central focus lies in the meeting of materials – how different wood species, biocomposites, and hybrid materials react and interact when processed with both traditional and
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. The work will involve: Digitisation and computational processing of historical records, including metadata creation, textual analysis, data mining, and visualization. Development of an interactive and
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remains visually dominant yet sensory-limited. While most haptic studies focus on vibrations to enhance virtual interactions, more research is needed on how stereoscopic 3D and 3D sound affect user
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the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
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multimodal systems. The emphasis is on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual
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on agentic approaches, where an LLM interacts with visual tools, which may themselves be neural networks. Central challenges include enabling LLMs to reason about visual structures, designing
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interaction, psychology and sociology. Core research topics are communication & technology, verbal and non-verbal communication, health communication, climate communication, information visualization, language
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the learning outcomes. The AI agent development will focus on semi-autonomous interaction using single-shot/mutli-turn interaction. This includes training the models on pre-existing/collected data using
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applications for history education and heritage visualization. Multimodal Technologies and Interaction, vol. 3, no. 2, p. 39. Endacott, J., & Brooks, S. (2013). An updated theoretical and practical model