Alejandra Gomez Ortega
Peter Lovei
Sandy J. J. Gould
Samuel Huron
Jacky Bourgeois
ABSTRACT
Behavioral data is ubiquitous in products, services, and systems that people interact with. It is increasingly used by design and HCI researchers and practitioners throughout their human-centered and participatory design processes. The highly dynamic nature of behavioral data makes it deeply intertwined with people, their behavior, and their experiences. Thus, it presents unique opportunities and challenges. This Special Interest Group will provide a space to reflect and discuss effective and responsible ways to engage with behavioral data in human-centered design processes. We will explore questions about the types and scale of data used, the contexts in which data is embedded and applied, the methods we rely on, and the forms of engagement of the multiple stakeholders. In doing so, our goal is to collaboratively develop a research agenda, setting the scope for an annual, international symposium on Data-Centric Design.
Footnotes
1 The Dutch Design Week is an annual international design event taking place in Eindhoven, The Netherlands. More information: ddw.nl
Footnote2 Join the Data-Centric Design community on Slack: edu.nl/wumw3
Footnote3 Past and upcoming conversations datacentricdesign.org
Footnote
- S. Sandra Bae, Clement Zheng, Mary Etta West, Ellen Yi-Luen Do, Samuel Huron, and Danielle Albers Szafir. 2022. Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization. (2022). http://arxiv.org/abs/2202.10520Google Scholar
- Arne Berger, Andreas Bischof, Sören Totzauer, Michael Storz, Kevin Lefeuvre, and Albrecht Kurze. 2018. Sensing Home: Participatory Exploration of Smart Sensors in the Home. In Social Internet of Things, Alessandro Soro, Margot Brereton, and Paul Roe (Eds.). Springer. https://doi.org/10.1007/978-3-319-94659-7Google ScholarCross Ref
- Sander Bogers, Joep Frens, Janne van Kollenburg, Eva Deckers, and Caroline Hummels. 2016. Connected Baby Bottle. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems. ACM, New York, NY, USA, 301–311. https://doi.org/10.1145/2901790.2901855Google ScholarDigital Library
- J. Bourgeois, J. Van Der Linden, G. Kortuem, B. A. Price, and C. Rimmer. 2014. Using participatory data analysis to understand social constraints and opportunities of electricity demand-shifting. In ICT for Sustainability 2014, ICT4S 2014. Atlantis Press, Stockholm, Sweden, 392–401. https://doi.org/10.2991/ict4s-14.2014.49Google ScholarCross Ref
- Alex Bowyer, Jack Holt, Josephine Go Jefferies, Rob Wilson, David Kirk, and Jan David Smeddinck. 2022. Human-GDPR Interaction: Practical Experiences of Accessing Personal Data. In CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, 1–19. https://doi.org/10.1145/3491102.3501947Google ScholarDigital Library
- Charlotte L. Clarke, Heather Wilkinson, Julie Watson, Jane Wilcockson, Lindsay Kinnaird, and Toby Williamson. 2018. A Seat Around the Table: Participatory Data Analysis With People Living With Dementia. Qualitative Health Research 28, 9 (2018), 1421–1433. https://doi.org/10.1177/1049732318774768Google ScholarCross Ref
- Catherine D’Ignazio and Lauren F. Klein. 2020. Data Feminism. MIT Press. 328 pages. https://doi.org/10.7551/mitpress/11805.001.0001Google ScholarCross Ref
- Alejandra Gómez Ortega, Jacky Bourgeois, and Gerd Kortuem. 2022. Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies. In Nordic Human-Computer Interaction Conference. ACM, New York, NY, USA, 1–12. https://doi.org/10.1145/3546155.3546646Google ScholarDigital Library
- Alejandra Gomez Ortega, Janne Van Kollenburg, Yvette Shen, Dave Murray-rust, Dajana Nedic, Juan Jimenez Garcia, Wo Meijer, Pranshu Kumar Chaudhary, and Jacky Bourgeois. 2022. SIG on Data as Human-Centered Design Material. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), New Orleans, LA, USA, 4. https://doi.org/10.1145/3491101.3516403Google ScholarDigital Library
- Katerina Gorkovenko, Daniel J Burnett, James Thorp, Daniel Richards, and Dave Murray-Rust. 2019. Supporting Real-Time Contextual Inquiry Through Sensor Data Supporting Real-Time Contextual Inquiry Through Sensor Data. In Ethnographic Praxis in Industry Conference Proceedings. Edinburgh, UK, 1–29.Google Scholar
- Katerina Gorkovenko, Daniel J Burnett, James K Thorp, Daniel Richards, and Dave Murray-Rust. 2020. Exploring the Future of Data-Driven Product Design. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3313831.3376560Google ScholarDigital Library
- Ana Jofre, Steve Szigeti, Stephen Tiefenbach Keller, Lan-Xi Dong, David Czarnowski, Frederico Tomé, and Sara Diamond. [n.d.]. A Tangible User Interface for Interactive Data Visualization. ([n. d.]).Google Scholar
- Albrecht Kurze, Andreas Bischof, Sören Totzauer, Michael Storz, Maximilian Eibl, Margot Brereton, and Arne Berger. 2020. Guess the Data: Data Work to Understand How People Make Sense of and Use Simple Sensor Data from Homes. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, 1–12. https://doi.org/10.1145/3313831.3376273Google ScholarDigital Library
- Peter Lovei, Renee Noortman, and Mathias Funk. 2022. Introduction to Data-Enabled Design. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery (ACM), 1–3. https://doi.org/10.1145/3491101.3503749Google ScholarDigital Library
- Peter Lovei, Renee Noortman, Sujithra Raviselvam, and Mathias Funk. 2022. Introduction to Data-Enabled Design. Vol. 1. Association for Computing Machinery. 1–3 pages. https://doi.org/10.1145/3547522.3558899Google ScholarDigital Library
- Jiahao Lu, Alejandra Gomez Ortega, Milene Gonçalves, and Jacky Bourgeois. 2021. the Impact of Data on the Role of Designers and Their Process. Proceedings of the Design Society 1, August (2021), 3021–3030. https://doi.org/10.1017/pds.2021.563Google ScholarCross Ref
- Dominik Pins, Timo Jakobi, Alexander Boden, Fatemeh Alizadeh, and Volker Wulf. 2021. Alexa, We Need to Talk: A Data Literacy Approach on Voice Assistants. In Designing Interactive Systems Conference 2021. ACM, New York, NY, USA, 495–507. https://doi.org/10.1145/3461778.3462001Google ScholarDigital Library
- Peter Tolmie, Andy Crabtree, Tom Rodden, James Colley, and Ewa Luger. 2016. “This has to be the cats” - Personal Data Legibility in Networked Sensing Systems. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing(CSCW ’16). ACM, New York, NY, USA, 491–502. https://doi.org/10.1145/2818048.2819992Google ScholarDigital Library
- Janne van Kollenburg and Sander Bogers. 2019. Data-enabled design : a situated design approach that uses data as creative material when designing for intelligent ecosystems. Technical Report 2019. Eindhoven University of Technology, Eindhoven, The Netherlands. https://research.tue.nl/en/publications/data-enabled-design-a-situated-design-approach-that-uses-data-as-Google Scholar
- Tiffany Wun, Lora Oehlberg, Miriam Sturdee, and Sheelagh Carpendale. 2019. You say potato, I say po-data: Physical template tools for authoring visualizations. In TEI 2019 - Proceedings of the 13th International Conference on Tangible, Embedded, and Embodied Interaction. Association for Computing Machinery, Inc, 297–306. https://doi.org/10.1145/3294109.3295627Google ScholarDigital Library
- Emma Young, Alan Marsden, and Paul Coulton. 2019. Making the invisible audible: Sonifying qualitative data. In ACM International Conference Proceeding Series. Association for Computing Machinery (ACM), 124–130. https://doi.org/10.1145/3356590.3356610Google ScholarDigital Library
Index Terms
- SIG on Data as Human-Centered Design Material
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