ABSTRACT
A growing body of work focuses on physicalisations based on personal, everyday data. Despite growing interest, little is known about how to educate people on their creation. We designed a teaching method of ’Data Diaries’, which consists of five representation assignments that move from visualising to physicalising personal data. The Data Diaries were used in a semester project, with the aim of creating an interactive physicalisation. We analysed the Data Diaries, written reports, and participant interviews. Our analysis shows that people need to overcome the challenge of using materiality to communicate data, which happens in four stages. Moreover, the materiality made participants realise that physicalisations do not focus on efficiency and accuracy, but on the story of the data, by referring to its origin, use of personal mappings, and reduction. As physicalisations blur the line between quantitative and qualitative, designing them engenders a change in our notion of ’data’.
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- Jason Alexander, Anne Roudaut, Jürgen Steimle, Kasper Hornbæk, Miguel Bruns Alonso, Sean Follmer, and Timothy Merritt. 2018. Grand Challenges in Shape-Changing Interface Research. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3173574.3173873Google ScholarDigital Library
- Basak Alper, Nathalie Henry Riche, Fanny Chevalier, Jeremy Boy, and Metin Sezgin. 2017. Visualization Literacy at Elementary School. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems(CHI ’17). Association for Computing Machinery, New York, NY, USA, 5485–5497. https://doi.org/10.1145/3025453.3025877Google ScholarDigital Library
- Stephen Barrass. 2016. Diagnosing Blood Pressure with Acoustic Sonification Singing Bowls. Int. J. Hum.-Comput. Stud. 85, C (Jan. 2016), 68–71. https://doi.org/10.1016/j.ijhcs.2015.08.007Google ScholarDigital Library
- Jacques Bertin. 1983. Semiology of Graphics: Diagrams, Networks, Maps. University of Wisconsin Press, Madison.Google ScholarDigital Library
- Jeremy Boy, Ronald A. Rensink, Enrico Bertini, and Jean-Daniel Fekete. 2014. A Principled Way of Assessing Visualization Literacy. IEEE Transactions on Visualization and Computer Graphics 20, 12 (Dec. 2014), 1963–1972. https://doi.org/10.1109/TVCG.2014.2346984Google ScholarCross Ref
- Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (Jan. 2006), 77–101. https://doi.org/10.1191/1478088706qp063oaGoogle ScholarCross Ref
- Katy Börner, Andreas Bueckle, and Michael Ginda. 2019. Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments. Proceedings of the National Academy of Sciences 116, 6 (Feb. 2019), 1857–1864. https://doi.org/10.1073/pnas.1807180116Google ScholarCross Ref
- Fanny Chevalier, Nathalie Henry Riche, Basak Alper, Catherine Plaisant, Jeremy Boy, and Niklas Elmqvist. 2018. Observations and Reflections on Visualization Literacy in Elementary School. IEEE Computer Graphics and Applications 38, 3 (May 2018), 21–29. https://doi.org/10.1109/MCG.2018.032421650Google ScholarCross Ref
- Nick Couldry and Alison Powell. 2014. Big Data from the bottom up. Big Data & Society 1, 2 (July 2014), 205395171453927. https://doi.org/10.1177/2053951714539277Google ScholarCross Ref
- Audrey Desjardins and Heidi R. Biggs. 2021. Data Epics: Embarking on Literary Journeys of Home Internet of Things Data. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama, Japan, 1–17. https://doi.org/10.1145/3411764.3445241Google ScholarDigital Library
- Audrey Desjardins and Timea Tihanyi. 2019. ListeningCups: A Case of Data Tactility and Data Stories. In Proceedings of the 2019 on Designing Interactive Systems Conference. ACM, San Diego CA USA, 147–160. https://doi.org/10.1145/3322276.3323694Google ScholarDigital Library
- Catherine D’Ignazio. 2017. Creative data literacy: Bridging the gap between the data-haves and data-have nots. Information Design Journal 23 (July 2017), 6–18. https://doi.org/10.1075/idj.23.1.03digGoogle ScholarCross Ref
- Catherine D’Ignazio and Lauren F. Klein. 2020. Data Feminism. The MIT Press, Cambridge, Massachusetts, USA. https://mitpress.mit.edu/books/data-feminismGoogle Scholar
- Paul Dourish. 2017. The Stuff of Bits - An Essay on the Materialities of Information. The MIT Press, Cambridge, MA. https://mitpress.mit.edu/books/stuff-bitsGoogle Scholar
- Sean Follmer, Daniel Leithinger, Alex Olwal, Akimitsu Hogge, and Hiroshi Ishii. 2013. inFORM: dynamic physical affordances and constraints through shape and object actuation. In Proceedings of the 26th annual ACM symposium on User interface software and technology. Association for Computing Machinery, New York, NY, USA, 417–426. https://doi.org/10.1145/2501988.2502032Google ScholarDigital Library
- Vaike Fors, Åsa Bäckström, and Sarah Pink. 2012. Multisensory Emplaced Learning: Resituating Situated Learning in a Moving World. Moving World, Mind, Culture, and Activity 20, 2 (Aug. 2012), 170–183. https://doi.org/10.1080/10749039.2012.719991Google ScholarCross Ref
- Lisa Gitelman (Ed.). 2013. ”Raw Data” Is an Oxymoron. The MIT Press, Cambridge, Massachusetts, USA. https://mitpress.mit.edu/books/raw-data-oxymoronGoogle Scholar
- Johannes Gäbler, Christoph Winkler, Nóra Lengyel, Wolfgang Aigner, Christina Stoiber, Günter Wallner, and Simone Kriglstein. 2019. Diagram Safari: A Visualization Literacy Game for Young Children. In Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts(CHI PLAY ’19 Extended Abstracts). Association for Computing Machinery, New York, NY, USA, 389–396. https://doi.org/10.1145/3341215.3356283Google ScholarDigital Library
- Samantha Hautea, Sayamindu Dasgupta, and Benjamin Mako Hill. 2017. Youth Perspectives on Critical Data Literacies. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems(CHI ’17). Association for Computing Machinery, New York, NY, USA, 919–930. https://doi.org/10.1145/3025453.3025823Google ScholarDigital Library
- Trevor Hogan. 2018. Data Sensification: beyond representation modality, toward encoding data in experience. In Design as a catalyst for change - DRS International Conference. Limerick, 1–15. https://doi.org/10.21606/drs.2018.238Google ScholarCross Ref
- Trevor Hogan, Uta Hinrichs, Yvonne Jansen, Samuel Huron, Pauline Gourlet, Eva Hornecker, and Bettina Nissen. 2017. Pedagogy & Physicalization: Designing Learning Activities around Physical Data Representations. In Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems. ACM, Edinburgh United Kingdom, 345–347. https://doi.org/10.1145/3064857.3064859Google ScholarDigital Library
- Trevor Hogan and Eva Hornecker. 2012. How Does Representation Modality Affect User-Experience of Data Artifacts?. In Haptic and Audio Interaction Design(Lecture Notes in Computer Science), Charlotte Magnusson, Delphine Szymczak, and Stephen Brewster (Eds.). Springer, Berlin, Heidelberg, 141–151. https://doi.org/10.1007/978-3-642-32796-4_15Google ScholarDigital Library
- Trevor Hogan and Eva Hornecker. 2013. Blending the repertory grid technique with focus groups to reveal rich design relevant insight. In Proceedings of the 6th International Conference on Designing Pleasurable Products and Interfaces(DPPI ’13). Association for Computing Machinery, New York, NY, USA, 116–125. https://doi.org/10.1145/2513506.2513519Google ScholarDigital Library
- Sun-ha Hong. 2020. Technologies of Speculation -The Limits of Knowledge in a Data-Driven Society. NYU Press, New York.Google Scholar
- Samuel Huron, Pauline Gourlet, Uta Hinrichs, Trevor Hogan, and Yvonne Jansen. 2017. Let’s Get Physical: Promoting Data Physicalization in Workshop Formats. In Proceedings of the 2017 Conference on Designing Interactive Systems. ACM, Edinburgh United Kingdom, 1409–1422. https://doi.org/10.1145/3064663.3064798Google ScholarDigital Library
- Tim Ingold. 2011. The Perception of the Environment: Essays on Livelihood, Dwelling and Skill. Routledge, London.Google Scholar
- Hiroshi Ishii, Dávid Lakatos, Leonardo Bonanni, and Jean-Baptiste Labrune. 2012. Radical Atoms: Beyond Tangible Bits, toward Transformable Materials. Interactions 19, 1 (Jan. 2012), 38–51. https://doi.org/10.1145/2065327.2065337Google ScholarDigital Library
- Yvonne Jansen, Pierre Dragicevic, Petra Isenberg, Jason Alexander, Abhijit Karnik, Johan Kildal, Sriram Subramanian, and Kasper Hornbæk. 2015. Opportunities and Challenges for Data Physicalization. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems(CHI ’15). Association for Computing Machinery, New York, NY, USA, 3227–3236. https://doi.org/10.1145/2702123.2702180Google ScholarDigital Library
- Britney Johnson, Ben Rydal Shapiro, Betsy DiSalvo, Annabel Rothschild, and Carl DiSalvo. 2021. Exploring Approaches to Data Literacy Through a Critical Race Theory Perspective. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM, Yokohama Japan, 1–15. https://doi.org/10.1145/3411764.3445141Google ScholarDigital Library
- Maria Karyda, Merja Ryöppy, Jacob Buur, and Andrés Lucero. 2020. Imagining Data-Objects for Reflective Self-Tracking. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, Honolulu HI USA, 1–12. https://doi.org/10.1145/3313831.3376844Google ScholarDigital Library
- Maria Karyda, Danielle Wilde, and Mette Gislev Kjarsgaard. 2021. Narrative Physicalization: Supporting Interactive Engagement With Personal Data. IEEE Computer Graphics and Applications 41, 1 (Jan. 2021), 74–86. https://doi.org/10.1109/MCG.2020.3025078Google ScholarCross Ref
- Hellen Kennedy. 2018. Living with Data: Aligning Data Studies and Data Activism Through a Focus on Everyday Experiences of Datafication. Journal for Contemporary Philosophy1 (2018), 18–30.Google Scholar
- Helen Kennedy, Rosemary Lucy Hill, Giorgia Aiello, and William Allen. 2016. The work that visualisation conventions do. Information, Communication & Society 19, 6 (June 2016), 715–735. https://doi.org/10.1080/1369118X.2016.1153126Google ScholarCross Ref
- Melissa K. Kjelvik and Elizabeth H. Schultheis. 2019. Getting Messy with Authentic Data: Exploring the Potential of Using Data from Scientific Research to Support Student Data Literacy. CBE Life Sciences Education 18, 2 (2019), es2. https://doi.org/10.1187/cbe.18-02-0023Google ScholarCross Ref
- Mary Anne Kuebel (Ed.). 2002. Living Learning: A Reader in Theme-Centered Interaction. Society for Media and Value Education, Delhi.Google Scholar
- Victor R. Lee. 2018. Personal Analytics Explorations to Support Youth Learning. In Digital Technologies and Instructional Design for Personalized Learning. IGI Global, Hershey, PA, 145–163. https://doi.org/10.4018/978-1-5225-3940-7.ch007Google ScholarCross Ref
- Haiying Li, Janice Gobert, and Rachel Dickler. 2019. Scaffolding during Science Inquiry. In Proceedings of the Sixth (2019) ACM Conference on Learning @ Scale. ACM, Chicago IL USA, 1–10. https://doi.org/10.1145/3330430.3333628Google ScholarDigital Library
- Giorgia Lupi and Stefanie Posavec. 2016. Dear Data. Particular Books / Penguin, London. http://giorgialupi.com/dear-data-2Google Scholar
- Deborah Lupton. 2017. Feeling your data: Touch and making sense of personal digital data. New Media & Society 19, 10 (July 2017), 1599–1614.Google ScholarCross Ref
- Deborah Lupton. 2018. How do data come to matter? Living and becoming with personal data. Big Data & Society 5, 2 (July 2018), 205395171878631. https://doi.org/10.1177/2053951718786314Google ScholarCross Ref
- Jennifer Mankoff, Anind K. Dey, Gary Hsieh, Julie Kientz, Scott Lederer, and Morgan Ames. 2003. Heuristic Evaluation of Ambient Displays. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Ft. Lauderdale, Florida, USA) (CHI ’03). Association for Computing Machinery, New York, NY, USA, 169–176. https://doi.org/10.1145/642611.642642Google ScholarDigital Library
- Paul Marshall. 2007. Do Tangible Interfaces Enhance Learning?. In Proceedings of the 1st International Conference on Tangible and Embedded Interaction (Baton Rouge, Louisiana) (TEI ’07). Association for Computing Machinery, New York, NY, USA, 163–170. https://doi.org/10.1145/1226969.1227004Google ScholarDigital Library
- Nicole D. Martin, Catherine Dornfeld Tissenbaum, Dana Gnesdilow, and Sadhana Puntambekar. 2019. Fading distributed scaffolds: the importance of complementarity between teacher and material scaffolds. Instructional Science 47, 1 (Feb. 2019), 69–98. https://doi.org/10.1007/s11251-018-9474-0Google ScholarCross Ref
- Viktor Mayer-Schönberger and Kenneth Cukier. 2014. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Eamon Dolan/Mariner Books, Boston, Massachusetts, USA.Google Scholar
- Andrew Vande Moere. 2008. Beyond the Tyranny of the Pixel: Exploring the Physicality of Information Visualization. In 2008 12th International Conference Information Visualisation. 469–474. https://doi.org/10.1109/IV.2008.84Google ScholarDigital Library
- Dietmar Offenhuber. 2019. Data by Proxy - Material Traces as Autographic Visualizations. IEEE Transactions on Visualization and Computer Graphics 26, 1 (July 2019), 98–108. https://doi.org/10.1109/TVCG.2019.2934788Google ScholarCross Ref
- Dietmar Offenhuber. 2020. What we talk about when we talk about data physicality. IEEE Computer Graphics and Applications 40, 6 (June 2020), 25–37. https://doi.org/10.1109/MCG.2020.3024146Google ScholarCross Ref
- Dietmar Offenhuber and Orkan Telhan. 2015. Indexical Visualization—The Data-Less Information Display. In Ubiquitous Computing, Complexity, and Culture. Routledge, London, 288–303. https://doi.org/10.4324/9781315781129-31Google ScholarCross Ref
- Luci Pangrazio and Neil Selwyn. 2019. ‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data. New Media & Society 21, 2 (Feb. 2019), 419–437. https://doi.org/10.1177/1461444818799523Google ScholarCross Ref
- Michael A Sao Pedro and Janice D Gobert. 2013. Incorporating Scaffolding and Tutor Context into Bayesian Knowledge Tracing to Predict Inquiry Skill Acquisition. In 6th International Conference on Educational Data Mining. The International Educational Data Mining Society, Massachusetts, 8.Google Scholar
- Theodore M. Porter. 1995. Trust in Numbers: The Pursuit of Objectivity in Science and Public Life. Princeton University Press, Princeton.Google Scholar
- Majken K. Rasmussen, Esben W. Pedersen, Marianne G. Petersen, and Kasper Hornbæk. 2012. Shape-Changing Interfaces: A Review of the Design Space and Open Research Questions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI ’12). Association for Computing Machinery, New York, NY, USA, 735–744. https://doi.org/10.1145/2207676.2207781Google ScholarDigital Library
- Orit Shaer and Eva Hornecker. 2010. Tangible User Interfaces: Past, Present, and Future Directions. Foundations and Trends® in Human–Computer Interaction 3, 1–2(2010), 4–137. https://doi.org/10.1561/1100000026Google ScholarDigital Library
- Ben Rydal Shapiro, Amanda Meng, Cody O’Donnell, Charlotte Lou, Edwin Zhao, Bianca Dankwa, and Andrew Hostetler. 2020. Re-Shape: A Method to Teach Data Ethics for Data Science Education. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems(CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376251Google ScholarDigital Library
- Ricardo Sosa, Victoria Gerrard, Antonio Esparza, Rebeca Torres, and Robbie Napper. 2018. Data objects: Design principles for data physicalisation. In DS 92: Proceedings of the DESIGN 2018 15th International Design Conference. Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, The Design Society, Glasgow, 1685–1696.Google ScholarCross Ref
- Faisal Taher, John Hardy, Abhijit Karnik, Christian Weichel, Yvonne Jansen, Kasper Hornbæk, and Jason Alexander. 2015. Exploring Interactions with Physically Dynamic Bar Charts. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems(CHI ’15). Association for Computing Machinery, New York, NY, USA, 3237–3246. https://doi.org/10.1145/2702123.2702604Google ScholarDigital Library
- Alice Thudt, Uta Hinrichs, Samuel Huron, and Sheelagh Carpendale. 2018. Self-Reflection and Personal Physicalization Construction. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, Montreal QC Canada, 1–13. https://doi.org/10.1145/3173574.3173728Google ScholarDigital Library
- Sherry Turkle (Ed.). 2007. Evocative Objects: Things We Think With. MIT Press, Cambridge, MA, USA.Google Scholar
- B. Ullmer and H. Ishii. 2000. Emerging Frameworks for Tangible User Interfaces. IBM Syst. J. 39, 3–4 (July 2000), 915–931. https://doi.org/10.1147/sj.393.0915Google ScholarDigital Library
- Lev S. Vygotsky. 1978. Mind in Society: Development of Higher Psychological Processes. Harvard University Press, Cambridge, MA. https://doi.org/10.2307/j.ctvjf9vz4Google ScholarCross Ref
- Hannes Waldschütz and Eva Hornecker. 2020. The Importance of Data Curation for Data Physicalization. In Companion Publication of the 2020 ACM Designing Interactive Systems Conference(DIS’ 20 Companion). Association for Computing Machinery, New York, NY, USA, 293–297. https://doi.org/10.1145/3393914.3395892Google ScholarDigital Library
- Yun Wang, Adrien Segal, Roberta Klatzky, Daniel F. Keefe, Petra Isenberg, Jorn Hurtienne, Eva Hornecker, Tim Dwyer, Stephen Barrass, and Theresa-Marie Rhyne. 2019. An Emotional Response to the Value of Visualization. IEEE Computer Graphics and Applications 39, 5 (Sept. 2019), 8–17. https://doi.org/10.1109/MCG.2019.2923483Google ScholarDigital Library
- Zezhong Wang, Lovisa Sundin, Dave Murray-Rust, and Benjamin Bach. 2020. Cheat Sheets for Data Visualization Techniques. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems(CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376271Google ScholarDigital Library
- Data Physicalization Wiki. 2021. Teaching - Data Physicalization. http://dataphys.org/wiki/TeachingGoogle Scholar
- Wesley Willett, Yvonne Jansen, and Pierre Dragicevic. 2017. Embedded Data Representations. IEEE Transactions on Visualization and Computer Graphics 23, 1 (Jan. 2017), 461–470. https://doi.org/10.1109/TVCG.2016.2598608 Conference Name: IEEE Transactions on Visualization and Computer Graphics.Google ScholarDigital Library
- Annika Wolff, Daniel Gooch, Jose J. Cavero Montaner, Umar Rashid, and Gerd Kortuem. 2016. Creating an Understanding of Data Literacy for a Data-driven Society. The Journal of Community Informatics 12, 3 (Aug. 2016), 9–26. https://doi.org/10.15353/joci.v12i3.3275Google ScholarCross Ref
- Delia Yi Min Lim, Christine Ee Ling Yap, and Jung-Joo Lee. 2021. Datastorming: Crafting Data into Design Materials for Design Students’ Creative Data Literacy. In Creativity and Cognition. ACM, Virtual Event Italy, 1–9. https://doi.org/10.1145/3450741.3465246Google ScholarDigital Library
- Oren Zuckerman, Saeed Arida, and Mitchel Resnick. 2005. Extending Tangible Interfaces for Education: Digital Montessori-Inspired Manipulatives. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Portland, Oregon, USA) (CHI ’05). Association for Computing Machinery, New York, NY, USA, 859–868. https://doi.org/10.1145/1054972.1055093Google ScholarDigital Library
Index Terms
- What is Data? - Exploring the Meaning of Data in Data Physicalisation Teaching
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