The BMS LAB

From brain signals to social science insights 🧠✨ Students running hands-on experiments with EEG and fNIRS as part of their Neuroscience minor!

Are you curious how you can feel better and maintain your wellbeing? Tom Voortman is currently working on his master’s thesis in Health Psychology and Technology, finding out what is effective and how.
His research is about finding out why wellbeing exercises such as mindfulness, autobiographical reflection and positive psychology work on both the quality of sleep and coping with stress. By having students following a wellbeing course, and practicing with these exercises, Tom wants to find out what the effects are on several aspects of sleep, stress and general wellbeing.

The BMS Lab will be closed from December 24 until January 4. We look forward to welcoming you back in the new year!

Inbar Atzmon and Nese Baz are exploring how service chatbot design influences user satisfaction and engagement.
 
In the first phase, they are running an online study where participants interact with different chatbots and rate their experience 💻 Next up: an eye-tracking study 👀 to see how users visually engage with chatbot interfaces.
By combining survey and gaze data, the project will help design more intuitive, satisfying conversational agents.

⏰ Don’t miss out — registration closes soon and spaces are limited! Secure your spot today.

Furhat meets HTTM! 🤖💡 Students are discovering ways to create smart solutions for real D&I challenges in global companies. 🌍

Looking back at November 6! A busy day for our staff - giving talks, demos, and workshops at both the BMS Research Conference and the TechMed Event! 👩‍💻👨‍💻📱⌚️

For her Master’s thesis in Interaction Technology, Kim is exploring how smartwatches can support the monitoring and treatment of people detoxing from opioids, benzodiazepines, and alcohol.
As part of the Detox@Home project, participants at Radboudumc wear an EmbracePlus smartwatch that collects data throughout detoxification. Kim connects this data to daily assessments to see if withdrawal symptoms can be detected automatically with machine learning.
Her goal: to make detoxing at home safer, more personalized, and more effective.

What a day! 🎉
A big thank you to everyone who joined us yesterday at Kijk in de toekomst bij as part of — it was great to welcome so many curious minds into our lab! 🧠💡
From interactive demos to inspiring conversations, it was wonderful to see such enthusiasm for research and technology.
A special shout-out to our amazing team and colleagues who helped make it all happen — you made it a success! 💪✨

💡 Learning by doing in action! In the minor Sustainable Well-being in a Technological Society minor students are taking on a challenge: creating and running their own Experience Sampling study with TIIM. 🎯