Caroline Hummels
The so-called data-enabled design methodology aims at getting detailed and nuanced contextual, behavioural and experiential insights from everyday life settings. It does so by using an open and malleable collection of physical and digital tools, the data-enabled design canvas, to collect sensor data (both manually and automatically via tracking devices and sensor-equipped prototypes) as well as qualitative data (through different media, wizard-of-oz interfaces, chatbots and face-to-face interviews). The combination of data supports a rich understanding of technological mediation with all its experiential, behavioural and contextual nuances (Van Kollenburg and Bogers, 2019).
One important cornerstone of the department of Industrial Design is data. We like to see data as a material, meaning that your need skills and tools to work with this digital material. Data-enabled-design offers this approach.
Bogers, S., Van Kollenburg, J., Rutjes, H., Deckers, E., Frens, J., and Hummels, C. (2018). A showcase of data-enabled design explorations. In CHI 2018 – Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April, Paper no. D302). New York, NY: ACM Press.
Bogers, S., Frens, J., Van Kollenburg, J., Deckers, E., & Hummels, C. (2016). Connected baby bottle: A design case study towards a framework for data-enabled design. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems (pp. 301-311). New York, NY: ACM Press.
Van Kollenburg, J., and Bogers, S. (2019). Data-enabled design: A situated design approach that uses data as creative material when designing for intelligent ecosystems (Doctoral thesis, Eindhoven University of Technology, The Netherlands).