Article published In: Cultural Turns in Information Design I
Edited by Juhri Selamet and Nina Hansopaheluwakan Edward
[Information Design Journal 30:1] 2025
Designing participatory data physicalization as cultural connectors for a Quantified Us
Published online: 30 January 2026
https://doi.org/10.1075/idj.25011.she
https://doi.org/10.1075/idj.25011.she
Abstract
This paper examines participatory data physicalization as a mode
of public engagement. Building on the shift from the Quantified
Self to a Quantified Us, the study investigates
how data can enable shared meaning-making and intercultural dialogue beyond
individual reflection. Culture is understood here as encompassing identity
differences, knowledge perspectives, symbolic associations, and lived contexts
of interpretation.
Using a Research through Design methodology, nine
wellness-focused installations deployed in university campus public spaces
revealed five recurring design dimensions: material affordances and metaphors,
participation framing, interpretive flexibility and situated meaning, peer
visibility and intercultural encounter, and publicness as cultural care.
Findings show that participatory data physicalization can serve
as civic infrastructure, where data is not only represented but also
co-authored, negotiated, and encountered as a living communal resource. Shared
concerns around identity, community, and emotion foster resonance across
differences while sustaining plurality and ambiguity. This work contributes to
the cultural turn in information design by positioning participatory data
engagement as a practice of recognition, solidarity, and civic connection.
Article outline
- 1.Introduction
- 2.Background
- 2.1From quantified self to Quantified Us
- 2.2Participatory data physicalization
- 3.Toward collective and material data practices
- 4.Methodological approach
- 4.1Research framework
- 4.2Process documentation
- 4.3Ethical considerations
- 5.Project context and data sources
- 6.Ecology of design and participation
- 7.Design dimensions of participatory data physicalization as cultural connectors
- 7.1Material affordances and metaphors
- 7.2Framing participation
- 7.3Interpretive flexibility and situated meaning
- 7.4Peer visibility and intercultural encounter
- 7.5Publicness as cultural care
- 8.Limitations
- 9.Cultural potentials of participatory data physicalization
- 10.Conclusion
- Acknowledgements
References
References (45)
Ajana, B. (2017). Digital health and the biopolitics of the Quantified Self. DIGITAL HEALTH, 31, 2055207616689509.
Cazacu, S., Panagiotidou, G., Steenberghen, T., & Moere, A. V. (2025). Disentangling the Power Dynamics in Participatory Data Physicalisation.
Choe, E. K., Lee, N. B., Lee, B., Pratt, W., & Kientz, J. A. (2014). Understanding quantified-selfers’ practices in collecting and exploring personal data. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1143–1152.
Crawford, K., Lingel, J., & Karppi, T. (2015). Our metrics, ourselves: A hundred years of self-tracking from the weight scale to the wrist wearable device. European Journal of Cultural Studies, 18(4–5), 479–496.
Desmet, P., Overbeeke, K., & Tax, S. (2001). Designing Products with Added Emotional Value: Development and Appllcation of an Approach for Research through Design. The Design Journal, 4(1), 32–47.
Dourish, P. (2006). Implications for design. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 541–550.
Elsden, C., Kirk, D. S., & Durrant, A. C. (2016). A Quantified Past: Toward Design for Remembering With Personal Informatics. Human–Computer Interaction, 31(6), 518–557.
Elsden, C., Kirk, D., Selby, M., & Speed, C. (2015). Beyond Personal Informatics: Designing for Experiences with Data. Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2341–2344.
Gaver, W. (2012). What should we expect from research through design? Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 937–946.
Geertz, C., & Darnton, R. (2017). The interpretation of cultures: Selected essays (3rd edition). Basic Books.
Haimson, O. L., & Hoffmann, A. L. (2016). Constructing and enforcing “authentic” identity online: Facebook, real names, and non-normative identities. First Monday.
Hofstede, G. (2001). Culture’s Consequences: Comparing Values, Behaviors, Institutions and … — Geert Hofstede — Google Books. SAGE Publications.
Hornecker, E., Hogan, T., Hinrichs, U., & Van Koningsbruggen, R. (2024). A Design Vocabulary for Data Physicalization. ACM Transactions on Computer-Human Interaction, 31(1), 1–62.
Huron, S., Carpendale, S., Thudt, A., Tang, A., & Mauerer, M. (2014). Constructive visualization. Proceedings of the Conference on Designing Interactive Systems: Processes, Practices, Methods, and Techniques, DIS, 433–442.
Huron, S., Nagel, T., Oehlberg, L., & Willett, W. (Eds.). (2023). Making with data: Physical design and craft in a data-driven world (First edition). CRC Press.
Jansen, Y., Dragicevic, P., Isenberg, P., Alexander, J., Karnik, A., Kildal, J., Subramanian, S., & Hornbæk, K. (2015). Opportunities and Challenges for Data Physicalization. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 3227–3236.
Jordan, M., & Pfarr. (2014, April 4). Forget the Quantified Self. We Need to Build the Quantified Us. Wired. [URL]
Keck, M., & Probst, K. (2024). Getting in Touch: Engaging Public Event Visitors through Participatory Data Physicalization. Proceedings of the 2024 International Conference on Advanced Visual Interfaces, 1–3.
Kersten — Van Dijk, E. T., & IJsselsteijn, W. A. (2016). Design Beyond the Numbers: Sharing, Comparing, Storytelling and the Need for a Quantified Us. Interaction Design and Architecture(s), 291, 121–135.
Levordashka, A., & Utz, S. (2016). Ambient awareness: From random noise to digital closeness in online social networks. Computers in Human Behavior, 601, 147–154.
Li, I., Dey, A., & Forlizzi, J. (2010). A stage-based model of personal informatics systems. Conference on Human Factors in Computing Systems — Proceedings, 11, 557–566.
Löwgren, J., & Stolterman, E. (2007). Thoughtful interaction design: A design perspective on information technology. The MIT Press.
Marcus, A., & Gould, E. W. (2000). Crosscurrents: Cultural dimensions and global Web user-interface design. Interactions, 7(4), 32–46.
Moats, D., & Seaver, N. (2019). “You Social Scientists Love Mind Games”: Experimenting in the “divide” between data science and critical algorithm studies. Big Data & Society, 6(1), 2053951719833404.
Moore, J., Goffin, P., Wiese, J., & Meyer, M. (2022). Exploring the Personal Informatics Analysis Gap: “There’s a Lot of Bacon.” IEEE Transactions on Visualization and Computer Graphics, 28(1), 96–106.
Norman, D. A. (2023). Design for a Better World: Meaningful, Sustainable, Humanity Centered. MIT Press.
Offenhuber, D. (2019). Data by Proxy — Material Traces as Autographic Visualizations (Version 1). arXiv.
Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. (2014). Personal tracking as lived informatics. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1163–1172.
Ruckenstein, M. (2014). Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles. Societies, 4(1), 68–84.
Ruckenstein, M., & Pantzar, M. (2017). Beyond the Quantified Self: Thematic exploration of a dataistic paradigm. New Media & Society, 19(3), 401–418.
Sharon, T. (2017). Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare. Philosophy & Technology, 30(1), 93–121.
Sharon, T., & Zandbergen, D. (2017). From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media & Society, 19(11), 1695–1709.
Shen, Y., & Scott, D. (2025, May 12). Tangible Patterns in Material-based Data Visualizations for the Quantified-Self. EKSIG 2025: DATA AS EXPERIENTIAL KNOWLEDGE AND EMBODIED PROCESSES. EKSIG 2025: DATA AS EXPERIENTIAL KNOWLEDGE AND EMBODIED PROCESSES.
Swan, M. (2013). The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data, 1(2), 85–99.
Till, C. (2014). Exercise as Labour: Quantified Self and the Transformation of Exercise into Labour. Societies, 4(3), 446–462.
