Title
SIG on Data as Human-Centered Design Material
Author
Gomez Ortega, A. (TU Delft Internet of Things) ![ORCID 0000-0002-7020-6800 ORCID 0000-0002-7020-6800](/sites/all/themes/tud_repo3/img/icons/orcid_16x16.png)
van Kollenburg, Janne (Philips Design Innovation)
Shen, Yvette (Ohio State University)
Murray-Rust, D.S. (TU Delft Human Information Communication Design) ![ORCID 0000-0001-6098-7861 ORCID 0000-0001-6098-7861](/sites/all/themes/tud_repo3/img/icons/orcid_16x16.png)
Nedić, Dajana (University of Arkansas, Fayetteville,)
Jimenez Garcia, Juan (Carleton University)
Meijer, Wo (TU Delft Internet of Things) ![ORCID 0000-0002-8369-6394 ORCID 0000-0002-8369-6394](/sites/all/themes/tud_repo3/img/icons/orcid_16x16.png)
Kumar Chaudhary, Pranshu (National Institute of Design, Ahmedabad)
Bourgeois, Jacky (TU Delft Internet of Things) ![ORCID 0000-0003-1090-5703 ORCID 0000-0003-1090-5703](/sites/all/themes/tud_repo3/img/icons/orcid_16x16.png)
Date
2022
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.
Subject
Human-Centered Design
Data-Centric Design
Participatory Design
Behavioural Data
To reference this document use:
http://resolver.tudelft.nl/uuid:d7a3df24-6f18-46fe-ba6d-8e6fafa101d3
DOI
https://doi.org/10.1145/3491101.3516403
Publisher
Association for Computing Machinery (ACM), New Orleans LA USA
Embargo date
2022-10-28
ISBN
978-1-4503-9156-6
Source
CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
Event
2022 CHI Conference on Human Factors in Computing Systems, CHI 2022, 2022-04-30 → 2022-05-05, Virtual, Online, United States
Series
Conference on Human Factors in Computing Systems - Proceedings
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2022 A. Gomez Ortega, Janne van Kollenburg, Yvette Shen, D.S. Murray-Rust, Dajana Nedić, Juan Jimenez Garcia, Wo Meijer, Pranshu Kumar Chaudhary, Jacky Bourgeois