@inproceedings{4524531a23184a58a19c891e6b23701b,
title = "How Instructional Data Physicalisation Fosters Reflection in Personal Informatics",
abstract = "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{\textregistered} 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.",
keywords = "personal informatics, reflection",
author = "Marit Bentvelzen and Julia Dominiak and Jasmin Niess and Frederique Henraat and Wo{\'z}niak, {Pawe{\l} W.}",
year = "2023",
month = apr,
day = "19",
doi = "10.1145/3544548.3581198",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery ",
booktitle = "CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems",
address = "United States",
}