Adaptive Architecture: regulating human building interaction

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

Abstract

In this paper, we explore the regulatory, technical and interactional implications of Adaptive Architecture (AA) and how it will recalibrate the nature of human-building interaction. We comprehensively unpack the emergence and history of this novel concept, reflecting on the current state of the art and policy foundations supporting it. As AA is underpinned by the Internet of Things (IoT), we consider how regulatory and surveillance issues posed by the IoT are manifesting in the built environment. In our analysis, we utilise a prominent architectural model, Stuart Brand’s Shearing Layers, to understand temporal change and informational flows across different physical layers of a building. We use three AA applications to situate our analysis, namely a smart IoT security camera; an AA research prototype; and an AA commercial deployment. Focusing on emerging information privacy and security regulations, particularly the EU General Data Protection Regulation 2016, we examine AA from 5 perspectives: physical & information security risks; challenges of establishing responsibility; enabling occupant rights over flows, collection, use & control of personal data; addressing increased visibility of emotions and bodies; understanding surveillance of everyday routine activities. We conclude with key challenges for AA regulation and the future of human–building interaction.

Citation

Urquhart, L., Schnädelbach, H., & Jäger, N. (2019). Adaptive Architecture: regulating human building interaction. International Review of Law, Computers and Technology, 33(1), 3-33. https://doi.org/10.1080/13600869.2019.1562605

• Journal Article Type: Article
• Acceptance Date: Nov 16, 2018
• Online Publication Date: Feb 3, 2019
• Publication Date: Jan 2, 2019
• Deposit Date: May 4, 2020
• Journal: International Review of Law, Computers & Technology
• Print ISSN: 1360-0869
• Electronic ISSN: 1364-6885
• Publisher: Routledge
• Peer Reviewed: Peer Reviewed
• Volume: 33
• Issue: 1
• Pages: 3-33
• DOI: https://doi.org/10.1080/13600869.2019.1562605
• Keywords: Law; Computer Science Applications
• Public URL: https://nottingham-repository.worktribe.com/output/1878345
• Publisher URL: https://www.tandfonline.com/doi/full/10.1080/13600869.2019.1562605