[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3490149.3501319acmconferencesArticle/Chapter ViewAbstractPublication PagesteiConference Proceedingsconference-collections
research-article
Open access

What is Data? - Exploring the Meaning of Data in Data Physicalisation Teaching

Published: 13 February 2022 Publication History

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’.

Supplementary Material

Overview of all the Data Diaries created (Overview_DataDiaries.pdf)

References

[1]
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/10.1145/3173574.3173873
[2]
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/10.1145/3025453.3025877
[3]
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.2015.08.007
[4]
Jacques Bertin. 1983. Semiology of Graphics: Diagrams, Networks, Maps. University of Wisconsin Press, Madison.
[5]
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.2014.2346984
[6]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (Jan. 2006), 77–101. https://doi.org/10.1191/1478088706qp063oa
[7]
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.1807180116
[8]
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.2018.032421650
[9]
Nick Couldry and Alison Powell. 2014. Big Data from the bottom up. Big Data & Society 1, 2 (July 2014), 205395171453927. https://doi.org/10.1177/2053951714539277
[10]
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/10.1145/3411764.3445241
[11]
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/10.1145/3322276.3323694
[12]
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.23.1.03dig
[13]
Catherine D’Ignazio and Lauren F. Klein. 2020. Data Feminism. The MIT Press, Cambridge, Massachusetts, USA. https://mitpress.mit.edu/books/data-feminism
[14]
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-bits
[15]
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/10.1145/2501988.2502032
[16]
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/10.1080/10749039.2012.719991
[17]
Lisa Gitelman (Ed.). 2013. ”Raw Data” Is an Oxymoron. The MIT Press, Cambridge, Massachusetts, USA. https://mitpress.mit.edu/books/raw-data-oxymoron
[18]
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/10.1145/3341215.3356283
[19]
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/10.1145/3025453.3025823
[20]
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.2018.238
[21]
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/10.1145/3064857.3064859
[22]
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_15
[23]
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/10.1145/2513506.2513519
[24]
Sun-ha Hong. 2020. Technologies of Speculation -The Limits of Knowledge in a Data-Driven Society. NYU Press, New York.
[25]
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/10.1145/3064663.3064798
[26]
Tim Ingold. 2011. The Perception of the Environment: Essays on Livelihood, Dwelling and Skill. Routledge, London.
[27]
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/10.1145/2065327.2065337
[28]
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/10.1145/2702123.2702180
[29]
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/10.1145/3411764.3445141
[30]
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/10.1145/3313831.3376844
[31]
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.2020.3025078
[32]
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.
[33]
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.2016.1153126
[34]
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.18-02-0023
[35]
Mary Anne Kuebel (Ed.). 2002. Living Learning: A Reader in Theme-Centered Interaction. Society for Media and Value Education, Delhi.
[36]
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.ch007
[37]
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/10.1145/3330430.3333628
[38]
Giorgia Lupi and Stefanie Posavec. 2016. Dear Data. Particular Books / Penguin, London. http://giorgialupi.com/dear-data-2
[39]
Deborah Lupton. 2017. Feeling your data: Touch and making sense of personal digital data. New Media & Society 19, 10 (July 2017), 1599–1614.
[40]
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/10.1177/2053951718786314
[41]
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/10.1145/642611.642642
[42]
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/10.1145/1226969.1227004
[43]
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/s11251-018-9474-0
[44]
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.
[45]
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.2008.84
[46]
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.2019.2934788
[47]
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.2020.3024146
[48]
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/10.4324/9781315781129-31
[49]
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/10.1177/1461444818799523
[50]
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.
[51]
Theodore M. Porter. 1995. Trust in Numbers: The Pursuit of Objectivity in Science and Public Life. Princeton University Press, Princeton.
[52]
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/10.1145/2207676.2207781
[53]
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/10.1561/1100000026
[54]
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/10.1145/3313831.3376251
[55]
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.
[56]
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/10.1145/2702123.2702604
[57]
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/10.1145/3173574.3173728
[58]
Sherry Turkle (Ed.). 2007. Evocative Objects: Things We Think With. MIT Press, Cambridge, MA, USA.
[59]
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.393.0915
[60]
Lev S. Vygotsky. 1978. Mind in Society: Development of Higher Psychological Processes. Harvard University Press, Cambridge, MA. https://doi.org/10.2307/j.ctvjf9vz4
[61]
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/10.1145/3393914.3395892
[62]
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.2019.2923483
[63]
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/10.1145/3313831.3376271
[64]
Data Physicalization Wiki. 2021. Teaching - Data Physicalization. http://dataphys.org/wiki/Teaching
[65]
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.
[66]
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.v12i3.3275
[67]
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/10.1145/3450741.3465246
[68]
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/10.1145/1054972.1055093

Cited By

View all
  • (2024)Data Jeans : Data Physicalization of Everyday Data and Its ExperienceArchives of Design Research10.15187/adr.2024.02.37.1.16737:1(167-179)Online publication date: 28-Feb-2024
  • (2024)A Retrospective Autoethnography Documenting Dance Learning Through Data PhysicalisationsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661607(2357-2373)Online publication date: 1-Jul-2024
  • (2024)The Secret Life of Data – Uncovering the Diverse, Lived, and More-Than-Human Nature of Personal DataProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656209(438-451)Online publication date: 23-Jun-2024
  • Show More Cited By

Index Terms

  1. What is Data? - Exploring the Meaning of Data in Data Physicalisation Teaching
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Please enable JavaScript to view thecomments powered by Disqus.

        Information & Contributors

        Information

        Published In

        cover image ACM Conferences
        TEI '22: Proceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction
        February 2022
        758 pages
        ISBN:9781450391474
        DOI:10.1145/3490149
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

        Sponsors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 13 February 2022

        Permissions

        Request permissions for this article.

        Check for updates

        Author Tags

        1. Data Diaries
        2. Notion of Data
        3. Physicalisation Literacy
        4. Teaching

        Qualifiers

        • Research-article
        • Research
        • Refereed limited

        Funding Sources

        Conference

        TEI '22
        Sponsor:

        Acceptance Rates

        Overall Acceptance Rate 393 of 1,367 submissions, 29%

        Upcoming Conference

        TEI '25

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)748
        • Downloads (Last 6 weeks)80
        Reflects downloads up to 14 Dec 2024

        Other Metrics

        Citations

        Cited By

        View all
        • (2024)Data Jeans : Data Physicalization of Everyday Data and Its ExperienceArchives of Design Research10.15187/adr.2024.02.37.1.16737:1(167-179)Online publication date: 28-Feb-2024
        • (2024)A Retrospective Autoethnography Documenting Dance Learning Through Data PhysicalisationsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661607(2357-2373)Online publication date: 1-Jul-2024
        • (2024)The Secret Life of Data – Uncovering the Diverse, Lived, and More-Than-Human Nature of Personal DataProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656209(438-451)Online publication date: 23-Jun-2024
        • (2024)Knitting Interactive Spaces: Fabricating Data Physicalizations of Local Community Visitors with Circular Knitting MachinesProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633359(1-14)Online publication date: 11-Feb-2024
        • (2024)ml-machine.org: Infrastructuring a Research Product to Disseminate AI Literacy in EducationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642539(1-16)Online publication date: 11-May-2024
        • (2023)A Design Vocabulary for Data PhysicalizationACM Transactions on Computer-Human Interaction10.1145/361736631:1(1-62)Online publication date: 29-Nov-2023
        • (2023)Tensions in Data Journey Activities: Mobilising, Processing, Producing, and Re-purposing Data in Environmental Assessment PracticeProceedings of the ACM on Human-Computer Interaction10.1145/36102127:CSCW2(1-22)Online publication date: 4-Oct-2023
        • (2023)Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External CommunicationAdjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3581961.3609837(237-240)Online publication date: 18-Sep-2023
        • (2023)Physicalization from Theory to Practice: Exploring Physicalization Design across DomainsExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3573824(1-7)Online publication date: 19-Apr-2023
        • (2023)Troubling Collaboration: Matters of Care for Visualization Design StudyProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581168(1-15)Online publication date: 19-Apr-2023
        • Show More Cited By

        View Options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format.

        HTML Format

        Login options

        Media

        Figures

        Other

        Tables

        Share

        Share

        Share this Publication link

        Share on social media