Die Studierenden haben anhand eines frei wählbaren Themas neue Konzepte für Produkt-Service-Systeme entwickelt, die unter anderem neben Formen der haptischen Interaktion auch digitale Komponenten und Prozesse berücksichtigen.
Zum Vorgehen
Dazu wurden entsprechende Arbeits- und Tätigkeitsabläufe recherchiert und analysiert, Zusammenhänge und Wechselwirkungen zwischen verschiedenen Nutzer*innengruppen und analogen wie digitalen Produkten aufgezeigt, um entsprechende Entwicklungspotenziale zu identifizieren.
Wir haben uns dabei mit unterschiedlichen Modalitäten von Interaktion auseinandergesetzt und anhand der jeweiligen Projektthemen neue Lösungsoptionen erarbeitet. Der Arbeitsprozess umfasste User Research, Anforderungsdefinition, Lösungsentwicklung / Prototyping sowie die Evaluation und Präsentation interaktiver Systeme.
Brain Atlas - Towards a complete picture of the human mind
Wouldn’t it be amazing if we could truly understand the brain?
Imagine if we could better understand mental diseases, identify shared patterns across studies and simulate brain activity to test hypotheses. If we could make faster progress in brain-computer interfaces, giving new possibilities to people with paralysis or speech loss and enable researchers and doctors worldwide to share insights — and build on each other’s work. To make this possible, researchers need the right tools.
That’s where the Brain Atlas comes in:
The Brain Atlas is an AI-powered platform to explore and understand brain activity through natural language, interactive models, and visual analytics.
A Look Within
Our Brain Atlas responds to natural language queries by displaying the most relevant brain atlas. Users can explore different atlases that show brain regions, activity during tasks, neural connections, or semantic representations using interactive tools and AI-powered assistance. This enables faster and more efficient research workflows. Unless users choose otherwise or upload their own fMRI data, the brain model is generated from aggregated findings across many studies. This provides a holistic view of the brain and promotes connected neuroscience research.
In addition, the platform offers an analytics section where users can investigate data beyond the 3D brain model using unsupervised machine learning algorithms. This allows patterns to be identified more clearly in visualizations such as charts. AI also supports users in interpreting these findings.
All sources used in the brain model are accessible. Researchers can expand their exploration into the scientific literature and take notes directly within the Brain Atlas. All content can be exported for presentations or other formats to support collaboration, share insights, and prevent valuable knowledge from being lost.
Past versions of the Brain Atlas can also be revisited, allowing researchers to build upon previous work and continue investigations seamlessly.
Towards a complete picture of the human mind
By making complex brain data accessible, interactive, and connected, the Brain Atlas empowers researchers to uncover insights faster, collaborate more effectively, and accelerate discoveries that can shape the future of neuroscience.
