Prof. Santini’s work centers on the use of mobile and wearable computing to sense human behavior and health. Prof. Langheinrich’s work has the goal of providing people with usable and secure ubiquitous computing systems that provide tangible benefits in an easy-to-use and engaging manner. The group’s overall work focuses on devices, interfaces, and infrastructures, as well as the social and economic environments that surround them. You can find the results of this in our list of publications.

Below you will find a list of current and past projects that should illustrate the types of problems that we are working on. If you are looking for a topic for your Master’s thesis or Bachelor project, see our list of available student theses.

Current Projects

XAI-PAC: Towards Explainable and Private Affective Computing

Funding Source: SNF

Wearable devices, combined with Artificial Intelligence (AI) methods, can bring significant and sustainable improvements to our lives. Affective computing utilizes the combination of wearables and AI to provide methods for tracking factors related to a …


Funding Source: Horizon Europe

The overall goal of the SmartCHANGE project is to develop trustworthy, AI-based decision-support tools that will help health professionals and citizens reduce long-term risk of NCDs, by accurately assessing the risk of children and youth, including those with difficult-to-detect risks, and promoting delivery of optimised risk-lowering strategies.

TRUST-ME: TRUstworthy enhancement of job SaTisfaction and productivity using Micro-sensing in work Environments

Funding Source: SNF

The TRUST-ME project is a multi-disciplinary initiative that aims to address the relationship between productivity, job satisfaction, and well-being in the modern workplace by using advanced sensing technology and AI algorithms. Through unobtrusive workplace sensors and privacy-preserving techniques, the project aims to provide transparent, actionable insights to both employees and employers, enhancing job satisfaction and productivity without compromising privacy or ethical values.

PROSELF – Semi-automated Self-Tracking Systems to Improve Personal Productivity

Funding Source: SNF

PROSELF aims to empower knowledge workers by enabling self-reflection on their performance, well-being, and activities at work. Traditional productivity tools often neglect the broader context, missing environmental, behavioral, and psychological factors that influence productivity. PROSELF will provide methods for semi-automated self-monitoring, develop a modeling framework to identify performance indicators, devise architecture for anticipatory decision-making, and evaluate these approaches in field studies. The goal is to improve individual performance and well-being, offering a clear design space for self-monitoring systems and a robust methodology for their development, based on large-scale validation.

Past Projects

BASE – Behavorial Analytics for Smart Environments
From Sharing to Caring: Examining Socio-Technical Aspects of the Collaborative Economy
SHARING21 – Future Digital Sharing Interfaces
PersonAAL – Improving Quality of Life and Remote Care
CYBERPARKS: ICT and Public Spaces
Uncovering Privacy Concerns for Public Display Personalisation
RECALL – Enhanced Human Memory
APD – Attentive Public Displays
SAPIENT – Supporting Fundamental Rights, Privacy and Ethics in Surveillance Technologies
PALS – Privacy-Aware Location Sharing
PD-NET – Towards Future Pervasive Display Networks
LiSS: Living in Surveillance Societies