Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Victoria Neumann

dblp:239/7861 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-4912-6048ORCID · reported

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

Human-computer interaction and ubiquitous computing · 1

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.

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

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

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › privacy
privacy decision-making
0.412019
Should I Agree?: Delegating Consent Decisions Beyond the Individual · CHI 2019
Privacy and data protection › privacy compliance › consent
user consent
0.112019
Should I Agree?: Delegating Consent Decisions Beyond the Individual · CHI 2019

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

technology probe · 0.8study · 0.8
YearPublicationVenuePosition
2019 Should I Agree?: Delegating Consent Decisions Beyond the Individual
abstract
Obtaining meaningful user consent is increasingly problematic in a world of numerous, heterogeneous digital services. Current approaches (e.g. agreeing to Terms and Conditions) are rooted in the idea of individual control despite growing evidence that users do not (or cannot) exercise such control in informed ways. We consider an alternative approach whereby users can opt to delegate consent decisions to an ecosystem of third-parties including friends, experts, groups and AI entities. We present the results of a study that used a technology probe at a large festival to explore initial public responses to this reframing -- focusing on when and to whom users would delegate such decisions. The results reveal substantial public interest in delegating consent and identify differing preferences depending on the privacy context, highlighting the need for alternative decision mechanisms beyond the current focus on individual choice.
Bettina Nissen, Victoria Neumann, Mateusz Mikusz, Rory Gianni, Sarah Clinch, Chris Speed, Nigel Davies 0001
CHI2