Adaptive Architecture and Personal Data

被引:17
作者
Schnadelbach, Holger [1 ]
Jager, Nils [2 ]
Urquhart, Lachlan [3 ]
机构
[1] Univ Nottingham, Mixed Real Lab, Wollaton Rd, Nottingham NG8 1BB, Notts, England
[2] Univ Loughborough, Sch Architecture, Epinal Way, Loughborough LE11 3TU, Leics, England
[3] Univ Edinburgh, Edinburgh Law Sch, South Bridge, Edinburgh EH8 9YL, Midlothian, Scotland
基金
英国工程与自然科学研究理事会;
关键词
Personal data; Adaptive Architecture; GDPR; Tension Space; SPACE; PRIVACY; INTERNET;
D O I
10.1145/3301426
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Through sensors carried by people and sensors embedded in the environment, personal data is being processed to try to understand activity patterns and people's internal states in the context of human-building interaction. This data is used to actuate adaptive buildings to make them more comfortable, convenient, and 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 contribute a systematic exposition of the emerging design space for adaptive architecture that draws on personal data. This is being situated within the context of the new European information privacy legislation, the EU General Data Protection Regulation 2016. Drawing on the tension space analysis method, we conclude with the illustration of the tensions in the temporal, spatial, and inhabitation-related relationships of personal data and adaptive buildings, re-usable for the navigation of the emerging, complex issues by future designers.
引用
收藏
页数:31
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