Semantic Scholar Open Access 2019 28 sitasi

Adaptive Architecture and Personal Data

Holger Schnädelbach Nils Jäger Lachlan D. Urquhart

Abstrak

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.

Topik & Kata Kunci

Penulis (3)

H

Holger Schnädelbach

N

Nils Jäger

L

Lachlan D. Urquhart

Format Sitasi

Schnädelbach, H., Jäger, N., Urquhart, L.D. (2019). Adaptive Architecture and Personal Data. https://doi.org/10.1145/3301426

Akses Cepat

Lihat di Sumber doi.org/10.1145/3301426
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
28×
Sumber Database
Semantic Scholar
DOI
10.1145/3301426
Akses
Open Access ✓