Reference : Context, Prioritization, and Unexpectedness: Factors Influencing User Attitudes About... |
Scientific congresses, symposiums and conference proceedings : Paper published in a journal | |||
Engineering, computing & technology : Computer science | |||
Security, Reliability and Trust | |||
http://hdl.handle.net/10993/51193 | |||
Context, Prioritization, and Unexpectedness: Factors Influencing User Attitudes About Infographic and Comic Consent | |
English | |
Doan, Xengie Cheng ![]() | |
Selzer, Annika ![]() | |
Rossi, Arianna ![]() | |
Botes, Wilhelmina Maria ![]() | |
Lenzini, Gabriele ![]() | |
26-Apr-2022 | |
Web Conference Companion Volume (ACM) | |
ACM | |
Yes | |
International | |
New York | |
USA | |
COnSeNT 2022 ~ 2nd International Workshop on Consent Management in Online Services, Networks and Things co-located with 31st WEB Conference | |
26 April 2022 | |
ACM | |
New York | |
USA | |
[en] consent UX ; health data sharing ; data governance | |
[en] Being asked to consent to data sharing is a ubiquitous experience in digital services - yet it is very rare to encounter a well designed consent experience. Considering the momentum and importance
of a European data space where personal information freely and easily flows across organizations, sectors and Member States, solving the long-discussed thorny issue of "how to get consent right" cannot be postponed any further. In this paper, we describe the first findings from a study based on 24 semi-structured interviews investigating participants’ expectations and opinions toward consent in a data sharing scenario with a data trustee. We analyzed various dimensions of a consent form redesigned as a comic and an infographic, including language, information design, content and the writer-reader relationship. The results provide insights into the complexity of elements that should be considered when asking individuals to freely and mindfully disclose their data, especially sensitive information. | |
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other | |
European Union’s Hori zon 2020 Innovative Training Networks Grant Agreement ID:956562 (Legality Attentive Data Scientists) and is partially supported by the Luxembourg National Research Fund (FNR) – IS/14717072 “De ceptive Patterns Online (Decepticon)”. Author’s 2 contribution has been partially funded by the German Federal Ministry of Education and Research and the Hessen State Ministry for Higher Education, Research and the Arts within their joint support of the National Research Center for Applied Cybersecurity ATHENE. | |
Decepticon and LeADS | |
General public | |
http://hdl.handle.net/10993/51193 | |
10.1145/3487553.3524632 | |
https://consentworkshop.com/ | |
FnR ; FNR14717072 > Gabriele Lenzini > DECEPTICON > Deceptive Patterns Online > 01/06/2021 > 31/05/2024 > 2020 |
File(s) associated to this reference | ||||||||||||||
Fulltext file(s):
| ||||||||||||||
All documents in ORBilu are protected by a user license.