SIG on Data as Human-Centered Design Material
A. Gomez Ortega (Internet of Things)
Janne van Kollenburg (Philips Design Innovation)
Yvette Shen (The Ohio State University)
Dave Murray-Rust (TU Delft - Human Technology Relations)
Dajana Nedić (University of Arkansas, Fayetteville,)
Juan Jimenez Garcia (Carleton University)
Wo Meijer (Internet of Things)
Pranshu Kumar Chaudhary (National Institute of Design, Ahmedabad)
Jacky Bourgeois (Internet of Things)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Designers and HCI researchers from industry and academia have been exploring the opportunities that emerge from incorporating behavioral data into the design process. For this, designers employ and combine data from multiple sources, multiple scales, and types to obtain valuable insights that inform and support design decisions. This combination unfolds through interdisciplinary collaborations, enabled by various methods and approaches, including participatory data analysis, sense-making interviews, co-design workshops, and data storytelling. However, due to the personal nature of behavioral data and the open-ended, iterative approach of HumanCentered Design, data-centric design activities clash with current HCI and data science practices. As both industry and academia increasingly use data-centric design processes, we recognize a need to share both examples and experiences to reinforce that most practices (and failed experiences) do not yet emerge solely from the literature. In this Special Interest Group, we aim to provide a space for design, data, and HCI researchers and practitioners to connect, reflect on the current practices, and explore potential approaches to further integrating behavioral data into design activities.