Research focus
The Auto-ID Lab based at ETH Zurich and at the University of St. Gallen conducts research in the field of next generation Internet of Things technologies that will revolutionize interfaces between users and objects. Learn more about our research focus and related projects. We are constantly looking for new collaborations and motivated Master students and PhD candidates. Our current research topics include:
Consumers will benefit from making better decisions supported by Artificial Intelligence and Personalization.
Spatial computing will bring about a new form of commerce within our homes with unprecedented levels of presence.
Mixed reality will allow users and things to connect in new ways, requiring novel interfaces between consumers and the internet-of-things.
Industrial processes will benefit from mixed reality, as spatial computing allows for novel interfaces, faster information retrieval, remote maintenance and many more useful applications.
Next Generation Internet of Things Architecture
Designing and shaping the building blocks (e.g. digital receipts) for a next generation Internet of Things that enables cross-channel, consumer-driven global commerce and B2B2C interaction.
Latest projects
BetterPlanet: Automatic Sustainability Feedback on Your Groceries for a More Sustainable Lifestyle
Motivation Climate change is one of the most challenging issues of our time. This is why leaders around the world set the goal to limit global warming to [...]
FoodCoach Pre-Study: Financial Rewards for Healthy Purchase Interventions
FoodCoach: A Reward-Based Approach Leveraging Digital Receipts for Healthier Purchases Motivation Consumer behavior is a key determinant for chronic disease risk. Today, one in four adults [...]
FutureMe: Future-Self-Avatars for Healthier Lifestyles
Motivation Consumer behavior is a key determinant for chronic disease risk. Today, one in four adults are insufficiently physically active and obesity rates have climbed to record [...]
Latest publications
About us
Working with GS1
Our primary research partner is GS1 – the not-for-profit organization that is renowned for establishing standards for global commerce such as introducing barcodes to the retail industry over 40 years ago.
Auto-ID Labs Network
We are proud to be part of the global Auto-ID Labs – the leading network of academic research laboratories in the field of Internet of Things. We collaborate closely with our sister labs at MIT, University of Cambridge, KAIST, Fudan University, and Keio University.
Career
We are looking for motivated master student and PhD students. Check our current positions here.
Contact us
If you have any open questions, please feel free to contact us.