Adaptive Architecture and Personal Data

Schn�delbach, Holger; J�ger, Nils; Urquhart, Lachlan

Abstract

Via sensors carried by people and sensors embedded in the environment, personal data is being processed to try to understand activity patterns and people{\textquoteright}s internal states in the context of human-building interaction. This data is used to actuate adaptive buildings to make them more comfortable, convenient, accessible or information rich. In a series of envisioning workshops, we queried the future relationships between people, personal data and the built environment, when there are no technical limits to the availability of personal data to buildings. Our analysis of created designs and user experience fictions allows us to describe the important design space for adaptive architecture that draws on personal data, and we put this into context with the European privacy legislation of the GDPR. We illustrate the emerging tensions in the temporal, spatial and inhabitation-related relationships of personal data and adaptive buildings to underpin the design of future adaptive architecture.

Citation

Schnädelbach, H., Jäger, N., & Urquhart, L. (2019). Adaptive Architecture and Personal Data. ACM Transactions on Computer-Human Interaction, 26(2), 1-31. https://doi.org/10.1145/3301426

• Journal Article Type: Article
• Acceptance Date: Dec 10, 2018
• Online Publication Date: Mar 13, 2019
• Publication Date: 2019-04
• Deposit Date: May 4, 2020
• Journal: ACM Transactions on Computer-Human Interaction
• Print ISSN: 1073-0516
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 26
• Issue: 2
• Article Number: 12
• Pages: 1-31
• DOI: https://doi.org/10.1145/3301426
• Public URL: https://nottingham-repository.worktribe.com/output/2656601
• Publisher URL: https://dl.acm.org/doi/10.1145/3301426