Hostname: page-component-84b7d79bbc-g7rbq Total loading time: 0 Render date: 2024-08-01T14:29:18.875Z Has data issue: false hasContentIssue false

Data Materialisation: A New Undergraduate Course for a Data Driven Society

Published online by Cambridge University Press:  26 July 2019

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Traditionally, data has been presented in textual format and the interaction with the user confined to the keyboard or touch screen to input data and the screen to deliver information. However, with the advent of a data-driven society, an opportunity for more natural and efficient ways of presenting data and interacting with it has emerged.

Although the area of Human-Computer Interaction has existed for a long time, its focus has always been on the interaction with an artefact (the computer). Today instead, we face the challenge of interacting with an intangible object: data. As a result, a key requirement emerges: How do we make legible the enormous amounts of data produced per day to ordinary people?

Designers, able to devise natural and smooth interaction experiences, should play a relevant role in this new scenario. However, they might lack the basic technical knowledge required to understand the possibilities of these new systems.

In this paper we present a brief how-to manual for an undergraduate course on data materialisation: the process of transforming an intangible object (data) in an artefact that can be interacted with in a physical way.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Ariza, J. Á. (2018), “Towards education alternatives to teaching and learning of programming: A course experience using open hardware tools”, 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, (2018), pp. 18. https://doi.org/10.1109/FIE.2018.8658657.Google Scholar
Blanco, T., Casas, R., Manchado-Pérezz, E., Asensio, A. and López-Pérez, J. (2017), “From the islands of knowledge to a shared understanding: interdisciplinary and technology literacy for innovation in smart electronic product design”, Int. Journal of Technology and Design Education Vol. 27, pp:329362. https://doi.org/10.1007/s10798-015-9347-7.Google Scholar
Carulli, M. and Bordegoni, M. (2017), “Rapid prototyping products mapping live-data streams into tangible user interfaces”, 21st International Conference on Engineering Design, ICED 2017, Vol.9: Design Education, Vancouver, Canada, 2125 August.Google Scholar
Hogan, T. and Hornecker, E. (2013), “In touch with space: embodying live data for tangible interaction”, 7th International Conference on Tangible, Embedded and Embodied Interaction, Barcelona, Spain, 10-13 February, ACM, pp. 275278. https://doi.org/10.1145/2460625.2460671Google Scholar
Huron, S., Gourlet, P., Hinrichs, U., Hogan, T. and Jansen, Y. (2017), “Let's Get Physical: Promoting Data Physicalization in Workshop Formats”, 2017 Conference on Designing Interactive Systems, Edinburgh, Scotland, 10-14 June, ACM, pp. 14091422. https://doi.org/10.1145/3064663.3064798Google Scholar
Jansen, Y., Dragicevic, P., Isenberg, P., Alexander, J., Karnik, A., Kildal, J., Subramanian, S. and Hornbæk, K. (2015), “Opportunities and challenges for data physicalization”, 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, South Korea, 18-23 April, ACM, pp. 32273236. https://doi.org/10.1145/2702123.2702180Google Scholar
Jamieson, P. and Herdtner, J. (2015), “More missing the Boat — Arduino, Raspberry Pi, and small prototyping boards and engineering education needs them,” 2015 IEEE Frontiers in Education Conference (FIE), El Paso, TX, 2015, pp. 16. https://doi.org/10.1109/FIE.2015.7344259Google Scholar
Mortimer, R. Haddadi, H., Henderson, T., McAuley, D., Crowcroft, J. and Crabtree, A. (2016), “Human-Data Interaction: The Human Face of the Data-Driven Society”, The Encyclopedia of Human Computer Interaction, The Interaction Design Foundation. http://arxiv.org/abs/1412.6159Google Scholar
Starrett, C., Reiser, S. and Pacio, T. (2018), “Data Materialization: A Hybrid Process of Crafting a Teapot”, Leonardo Vol. 51 No. 4, pp. 381385. https://doi.org/10.1145/3202918.3203087Google Scholar
Zhong, X. and Liang, Y. (2016), “Raspberry Pi: an effective vehicle in teaching the internet of things in computer science and engineering”, Electronics, Vol. 5 No. 3, No. 56. https://doi.org/10.3390/electronics5030056Google Scholar