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Sushil Ammanaghatta Shivakumar

dblp:344/9253 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-7042-7232ORCID · 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 · 67% Usable security · 33%

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

TopicWeightPapersLastEvidence papers
Privacy and data protection › privacy compliance
consent
0.712023
Investigating Deceptive Design in GDPR's Legitimate Interest · CHI 2023
Usable security › deception
dark patterns
0.712023
Investigating Deceptive Design in GDPR's Legitimate Interest · CHI 2023
Privacy and data protection › privacy policy
privacy notice
0.712023
Investigating Deceptive Design in GDPR's Legitimate Interest · CHI 2023
YearPublicationVenuePosition
2023 Investigating Deceptive Design in GDPR's Legitimate Interest
abstract
Legitimate interest is one of the six grounds for processing data under the European Union’s General Data Protection Regulation (GDPR). The flexibility and ambiguity of the term "legitimate interests" can be problematic; coupled with the lack of enforcement from legal authorities and different interpretations from the various data protection authorities, legitimate interests can be taken advantage of as a loophole to collect more user data.
Lin Kyi, Sushil Ammanaghatta Shivakumar, Cristiana Teixeira Santos, Franziska Roesner, Frederike Zufall, Asia J. Biega
CHI2