Join us in shaping how personal health data is experienced, advancing human-data interaction and the design of systems that support reflection in everyday life.

Investigate how people experience and interpret personal data from wearables and health apps. This project examines the affective, social, and reflective dimensions of personal informatics, focusing on how individuals engage with sensitive or emotionally charged health metrics in everyday life. It aims to improve system design for supporting reflection while accounting for users’ emotional responses to their personal data.

Your job

Digital technologies, such as wearables and mobile applications, allow individuals to continuously track personal data related to health and wellbeing. These systems capture a wide range of metrics, including steps taken, stress levels, heart rate, and sleep quality. Metrics are not neutral entities: they shape self-perception, evoke emotion, and can reinforce social nor...