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Joanna Syrda

dblp:433/2898 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-9908-6710ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Privacy and data protection · 100%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › privacy analysis › privacy models
contextual integrity
1.012026
Good Fences Make Good Neighbors: What's Acceptable (and What's Not) in Neighborhood Video Surveillance · CHI 2026
Privacy and data protection
privacy norms
1.012026
Good Fences Make Good Neighbors: What's Acceptable (and What's Not) in Neighborhood Video Surveillance · CHI 2026

Methods — techniques the papers use, named apart from their topics

survey · 2.0contextual integrity theory · 2.0
YearPublicationVenuePosition
2026 Good Fences Make Good Neighbors: What's Acceptable (and What's Not) in Neighborhood Video Surveillance
abstract
The popularization of video security devices promises to improve security in and outside people's home, yet they also expose their owners, neighbors and visitors to privacy risks. Most studies have focused on the primary users’ privacy, yet we know the implications of such technology span far beyond the individual into the wider neighborhood. Utilizing a combinatorial matrix survey, guided by Contextual Integrity Theory, we explore how people manage privacy in relation to these devices within the context of their own neighborhood. We demonstrate that in this neighborhood context, privacy management is socially situated, shaped primarily by transmission principles (e.g., whether footage is shared for security or gossip purposes), and nuanced by social factors related to the individual (e.g., social class), and their neighborhood (e.g., closeness to the neighborhood community). We highlight that privacy norms are not stable individual constructs but emergent, context-dependent, and collectively managed concepts, thereby contributing to work on Contextual Integrity Theory by applying it to a group-level context—neighborhoods. This work has several implications for product design and policy that prioritizes privacy beyond the individual.
Janusz Swierczynski, Brittany I. Davidson, Joanna Syrda, Adam N. Joinson
CHI3