How Instructional Data Physicalization Fosters Reflection in Personal Informatics


The ever-increasing number of devices quantifying our lives offers a perspective of high awareness of one's wellbeing, yet it remains a challenge for personal informatics (PI) to effectively support data-based reflection. Effective reflection is recognised as a key factor for PI technologies to foster wellbeing. Here, we investigate whether building tangible representations of health data can offer engaging and reflective experiences. We conducted a between-subjects study where n=60 participants explored their immediate blood pressure data in relation to medical norms. They either used a standard mobile app, built a data representation from LEGO bricks based on instructions, or completed a free-form brick build. We found that building with instructions fostered more comparison and using bricks fostered focused attention. The free-form condition required extra time to complete, and lacked usability. Our work shows that designing instructional physicalisation experiences for PI is a means of improving engagement and understanding of personal data.

Marit Bentvelzen
Utrecht University, Utrecht, Netherlands
Julia Dominiak
Lodz University of Technology, Łódź, Poland
Jasmin Niess
University of St. Gallen, St. Gallen, Switzerland
Frederique Henraat
Utrecht University, Utrecht, Netherlands
Paweł W. Woźniak
Chalmers University of Technology, Gothenburg, Sweden


会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (

セッション: Data for Productivity

Hall B
6 件の発表
2023-04-24 20:10:00
2023-04-24 21:35:00