From Simple Sensors to Complex Context: Insights for HabiTech
Albrecht Kurze, Karola K\"opferl

TL;DR
This paper explores how simple sensors can be integrated into complex smart home environments, emphasizing the importance of context, community, and privacy considerations for effective HabiTech applications.
Contribution
It introduces a comprehensive perspective on leveraging existing research to understand complex contexts in smart homes and communities, highlighting the role of spatial, temporal, and social data.
Findings
Contextual understanding enhances smart home data interpretation.
Community proximity influences data privacy and sharing.
Participatory approaches improve stakeholder engagement.
Abstract
We relate our previous as well as ongoing research in the domain of smart homes to the concept of HabiTech. HabiTech can benefit from existing approaches and findings in a broader context of whole buildings or communities within. Along with data comes context of data capture and data interpretation in different dimensions (spatial, temporal, social). For defining what is 'community' proximity plays a crucial role in context, both spatially as well as socially. A participatory approach for research in living in sensing environments is promising to address complexity as well as interests of different stakeholders. Often it is the complex context that makes even simple sensor data sensitive, i.e. in terms of privacy. When it comes to handle shared data then concepts from the physical world for shared spaces might be related back to the data domain.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsContext-Aware Activity Recognition Systems · Big Data and Business Intelligence
