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LiteratureReview.md

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Literature Review

Data physicalization

Hogan, T. (2012). Toward a Phenomenology of Human-Data Relations.

Hogan, T., Hinrichs, U., & Hornecker, E. (2017, June). The visual and beyond: Characterizing experiences with auditory, haptic and visual data representations. In Proceedings of the 2017 Conference on Designing Interactive Systems (pp. 797-809). ACM.

Huron, S., Carpendale, S., Thudt, A., Tang, A., & Mauerer, M. (2014, June). Constructive visualization. In Proceedings of the 2014 conference on Designing interactive systems (pp. 433-442). ACM.

Jansen, Y., Dragicevic, P., Isenberg, P., Alexander, J., Karnik, A., Kildal, J., ... & Hornbæk, K. (2015, April). Opportunities and challenges for data physicalization. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 3227-3236). ACM.

Kennedy, H., & Hill, R. L. (2018). The feeling of numbers: Emotions in everyday engagements with data and their visualisation. Sociology, 52(4), 830-848.

Lupton, D. (2017). Feeling your data: Touch and making sense of personal digital data. New Media & Society, 19(10), 1599-1614.

Stusak, S. (2015, January). Exploring the potential of physical visualizations. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction (pp. 437-440). ACM.

Equity

Bardzell, S. (2010, April). Feminist HCI: taking stock and outlining an agenda for design. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 1301-1310). ACM.

Bardzell, S., & Bardzell, J. (2011, May). Towards a feminist HCI methodology: social science, feminism, and HCI. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 675-684). ACM.

Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, communication & society, 15(5), 662-679.

Dalton, C. M., Taylor, L., & Thatcher, J. (2016). Critical data studies: A dialog on data and space. Big Data & Society, 3(1), 2053951716648346.

D’Ignazio C (2017) Creative data literacy: Bridging the gap between the data-haves and data-have nots. Information Design Journal 23(1): 6–18.

Hautea, S., Dasgupta, S., & Hill, B. M. (2017, May). Youth perspectives on critical data literacies. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 919-930). ACM.

Ku, P., Mulder, I., & Kortuem, G. (2018). Data Exploration for Generative Design Research. In Design Research Society 2018Design Research Society (pp. 1342-1345). Design Research Society.

Welles, B. F. (2014). On minorities and outliers: The case for making Big Data small. Big Data & Society, 1(1), 2053951714540613.

Community

Cantù, D., & Selloni, D. (2013). From engaging to empowering people: a set of co-design experiments with a service design perspective.

Chueng-Nainby, P., & Lee, J. Transformative Learning: Co-design with Communities’ Collective Imagery as Data for Social Innovation.

David, S., Sabiescu, A. G., & Cantoni, L. (2013, November). Co-design with communities. A reflection on the literature. In Proceedings of the 7th International Development Informatics Association Conference (IDIA) (pp. 152-166).

Jofre, A., Szigeti, S., & Diamond, S. (2016). Citizen engagement through tangible data representation. Foro de Educación, 14(20), 305-325.

Kim, Y. S., Reinecke, K., & Hullman, J. (2018). Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation. IEEE Transactions on Visualization & Computer Graphics, (1), 1-1.

Taylor, A. S., Lindley, S., Regan, T., Sweeney, D., Vlachokyriakos, V., Grainger, L., & Lingel, J. (2015, April). Data-in-place: Thinking through the relations between data and community. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2863-2872). ACM.

Tools and examples

Bhargava, R., Kadouaki, R., Bhargava, E., Castro, G., & D'Ignazio, C. (2016). Data Murals: Using the Arts to Build Data Literacy. The Journal of Community Informatics, 12(3).

Bhargava, R., & D’Ignazio, C. (2017). Data Sculptures as a Playful and Low-Tech Introduction to Working with Data. Presented at the Designing Interactive Systems, Edinburgh, Scotland.

Bhargava, R., & D’Ignazio, C. (2015). Designing Tools and Activities for Data Literacy Learners. In Workshop on Data Literacy, Webscience.

Hegg, J. C., Middleton, J., Robertson, B. L., & Kennedy, B. P. (2018). The sound of migration: exploring data sonification as a means of interpreting multivariate salmon movement datasets. Heliyon, 4(2), e00532.

Hogan, T., & Hornecker, E. (2017). Towards a design space for multisensory data representation. Interacting with Computers, 29(2), 147-167.

Huron, S., Jansen, Y., & Carpendale, S. (2014). Constructing visual representations: Investigating the use of tangible tokens. IEEE transactions on visualization and computer graphics, 20(12), 2102-2111.

Zhao, J., & Moere, A. V. (2008, September). Embodiment in data sculpture: a model of the physical visualization of information. In Proceedings of the 3rd international conference on Digital Interactive Media in Entertainment and Arts (pp. 343-350). ACM.