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UNDERSTANDING THE CHALLENGES AROUND DESIGN ACTIVITIES THAT INCORPORATE BEHAVIORAL DATA

Published online by Cambridge University Press:  19 June 2023

Alejandra Gomez Ortega ,
Jacky Bourgeois  and
Gerd Kortuem
Alejandra Gomez Ortega*
Affiliation:
Delft University of Technology
Jacky Bourgeois
Affiliation:
Delft University of Technology
Gerd Kortuem
Affiliation:
Delft University of Technology
*
Gomez Ortega, Alejandra, Delft University of Technology Netherlands, The a.gomezortega@tudelft.nl

Abstract

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Recently, methods and approaches such as Participatory Data Analysis, Data-Enabled Design, and Contextual Inquiry have highlighted how design activities can benefit from behavioral data. This data offers new ways to learn from what people do and how they do it, across time and space. However, behavioral data introduces changes and frictions to design activities and poses several challenges for designers to overcome. In this paper, we conduct two workshops with 18 expert designers, from industry and academia, to understand the nature of these challenges, beyond the technical aspects. We contribute by underlining the challenges and opportunities of incorporating behavioral data into design activities; including a design perspective on data, interacting with participants, and interacting with regulatory bodies. We translate our findings into opportunities for a better alignment between regulatory bodies, designers, and participants. We propose to harness the iterative nature of design activities and embedded it into a process that allows for continuous reflection, reassessment, and review of highly dynamic datasets.

Keywords

Big dataDesign practiceDesign processBehavioral DataInternet of Things
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 3711 - 3720
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), 2023. Published by Cambridge University Press

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