scholarly journals Dark and bright patterns in cookie consent requests

2020 ◽  
Author(s):  
Paul Grassl ◽  
Hanna Schraffenberger ◽  
Frederik Zuiderveen Borgesius ◽  
Moniek Buijzen
Keyword(s):  
Perceived Control ◽  
Interface Design ◽  
Personal Data ◽  
Online Experiments ◽  
Privacy Law ◽  
Perception Of Control ◽  
Consent Requirement ◽  
Low Levels

Dark patterns are (evil) design nudges that steer people’s behaviour through persuasive interface design. Increasingly found in cookie consent requests, they possibly undermine principles of EU privacy law. In two preregistered online experiments we investigated the effects of three common design nudges (default, aesthetic manipulation, obstruction) on users’ consent decisions and their perception of control over their personal data in these situations. In the first experiment (N = 228) we explored the effects of design nudges towards the privacy-unfriendly option (dark patterns). The experiment revealed that most participants agreed to all consent requests regardless of dark design nudges. Unexpectedly, despite generally low levels of perceived control, obstructing the privacy-friendly option led to more rather than less perceived control. In the second experiment (N = 255) we reversed the direction of the design nudges towards the privacy-friendly option, which we title “bright patterns”. This time the obstruction and default nudges swayed people effectively towards the privacy-friendly option, while the result regarding perceived control stayed the same compared to Experiment 1. Overall, our findings support the notion that the EU’s consent requirement for tracking cookies does not work as intended. Further, we give insights into why this might be the case and recommendations on how to address the issue.

scholarly journals Dark and Bright Patterns in Cookie Consent Requests

2021 ◽  
Vol 3 (1) ◽  
pp. 1-38
Author(s):  
Paul Graßl ◽  
Hanna Schraffenberger ◽  
Frederik Zuiderveen Borgesius ◽  
Moniek Buijzen
Keyword(s):  
Perceived Control ◽  
Interface Design ◽  
Personal Data ◽  
Online Experiments ◽  
Privacy Law ◽  
Perception Of Control ◽  
Internet Users ◽  
Low Levels ◽  
The Eu

Dark patterns are (evil) design nudges that steer people’s behaviour through persuasive interface design. Increasingly found in cookie consent requests, they possibly undermine principles of EU privacy law. In two preregistered online experiments we investigated the effects of three common design nudges (default, aesthetic manipulation, obstruction) on users’ consent decisions and their perception of control over their personal data in these situations. In the first experiment (N = 228) we explored the effects of design nudges towards the privacy-unfriendly option (dark patterns). The experiment revealed that most participants agreed to all consent requests regardless of dark design nudges. Unexpectedly, despite generally low levels of perceived control, obstructing the privacy-friendly option led to more rather than less perceived control. In the second experiment (N = 255) we reversed the direction of the design nudges towards the privacy-friendly option, which we title “bright patterns”. This time the obstruction and default nudges swayed people effectively towards the privacy-friendly option, while the result regarding perceived control stayed the same compared to Experiment 1. Overall, our findings suggest that many current implementations of cookie consent requests do not enable meaningful choices by internet users, and are thus not in line with the intention of the EU policymakers. We also explore how policymakers could address the problem.

Unrealistic Optimism and Perceived Control: Role of Personal Competence

2002 ◽  
Vol 91 (2) ◽  
pp. 431-435 ◽  
Author(s):  
Jordi Fernández-Castro ◽  
Joaquim T. Limonero ◽  
Tatiana Rovira ◽  
Samanta Albaina
Keyword(s):  
University Students ◽  
Perceived Control ◽  
Emotional Valence ◽  
Theoretical Development ◽  
Unrealistic Optimism ◽  
Best Friend ◽  
Perception Of Control ◽  
Different Types ◽  
Future Events

This work analyzed the effects of unrealistic optimism in the interaction between the emotional valence of future events, the perception of control over these events, and the person with whom one compares oneself. It was hypothesized that, if the person of comparison is judged as very competent, a pessimistic bias should be produced. Likelihood of four different types of events (positive and controllable, positive and uncontrollable, negative and controllable, and negative and uncontrollable) were rated by 133 university students (22 men and 111 women) for themselves, for an average student, for their best friend, and for a bright friend. A pessimistic bias was observed on the relative likelihood of the events when the comparison was made between oneself and a competent and bright friend, when events were perceived as controllable, especially positive ones. Not enough is known, however, to provide meaningful interpretation at present; that must await further data and theoretical development.

Data Protection

2016 ◽  
Author(s):  
Tibor Tajti
Keyword(s):  
Data Protection ◽  
Personal Data ◽  
Commercial Law ◽  
Insolvency Law ◽  
Member States ◽  
Privacy Law ◽  
Data Protection Directive ◽  
Data Protection Law ◽  
Made In

Chapter VI is a new chapter in the EIR. Its presence signals the importance that data protection law has gained in Europe since the adoption of the Data Protection Directive 95/46/EC (DPD) and Regulation 45/2001. Although the DPD is not—though it comes close to—a maximum harmonisation directive, its implementation by Member States by the end of 1998 increased data protection standards on national levels as well. Yet the concrete reason that led to the addition of this Chapter is the expanded scope of the EIR as far as the exchange and publication of personal data is concerned. The expansion and thus the enhanced need for data protection is due in particular to the provision made in the recast EIR for newly established interconnected national insolvency registers, accessible via the European e-Justice Portal. This provision has been made at a time when data protection law is increasingly recognised as a ‘stand-alone’ subject, emancipated from privacy law, as expressed indirectly also by the popularisation of the ‘data protection’ nomenclature originating in the German term ‘Datenschutz’. This has clear implications for private and commercial law, including insolvency law.

Scale Construction for Measuring Adolescent Boys' and Girls' Attitudes, Beliefs, Perception of Control, and Intention to Engage in Leisure-Time Physical Activity

2002 ◽  
Vol 95 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Mathew S. Kerner ◽  
Michael I. Kalinski
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Perceived Control ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Physical Activities ◽  
School Students ◽  
Perception Of Control ◽  
Activity Scale ◽  
Physical Activity Scale

Using the Theory of Planned Behavior as a framework, the Attitude to Leisure-time Physical Activity, Expectations of Others, Perceived Control, and Intention to Engage in Leisure-time Physical Activity scales were developed for use among high school students. The study population included 20 boys and 68 girls 13 to 17 years of age (for boys, M=15.1 yr., SD=1.0; for girls, M= 15.0 yr., SD= 1.1). Generation of items and the establishment of content validity were performed by professionals in exercise physiology, physical education, and clinical psychology. Each scale item was phrased in a Likert type format. Both unipolar and bipolar scales with seven response choices were developed. Following the pilot testing and subsequent revisions, 32 items were retained in the Attitude to Leisure-time Physical Activity scale. 10 items were retained in the Expectations of Others scale, 3 items were retained in the Perceived Control Scale, and 24 items were retained in the Intention to Engage in Leisure-time Physical Activity scale. Coefficients indicated adequate stability and internal consistency with α ranging from .81 to .96. Studies of validities are underway, after which scales would be made available to those interested in intervention techniques for promoting positive attitudes toward physical fitness, perception of control over engaging in leisure-lime physical activities, and good intentions to engage in leisure-time physical activities. The present results arc encouraging.

scholarly journals Periods for Profit and the Rise of Menstrual Surveillance

2021 ◽  
Vol 41 (1) ◽  
pp. 100-13
Author(s):  
Michele Estrin Gilman
Keyword(s):  
Business Strategy ◽  
Data Privacy ◽  
Data Extraction ◽  
Credit Scoring ◽  
Personal Data ◽  
For Profit ◽  
Privacy Law ◽  
Women In The Workplace ◽  
Self Interest ◽  
Unwanted Pregnancies

Menstruation is being monetized and surveilled, with the voluntary participation of millions of women. Thousands of downloadable apps promise to help women monitor their periods and manage their fertility. These apps are part of the broader, multi-billion dollar, Femtech industry, which sells technology to help women understand and improve their health. Femtech is marketed with the language of female autonomy and feminist empowerment. Despite this rhetoric, Femtech is part of a broader business strategy of data extraction, in which companies are extracting people’s personal data for profit, typically without their knowledge or meaningful consent. Femtech can oppress menstruators in several ways. Menstruators lose control over their personal data and how it is used. Some of these uses can potentially disadvantage women in the workplace, insurance markets, and credit scoring. In addition, these apps can force users into a gendered binary that does not always comport with their identity. Further, period trackers are sometimes inaccurate, leading to unwanted pregnancies. Additionally, the data is nearly impossible to erase, leading some women to be tracked relentlessly across the web with assumptions about their childbearing and fertility. Despite these harms, there are few legal restraints on menstrual surveillance. American data privacy law largely hinges on the concept of notice and consent, which puts the onus on people to protect their own privacy rather than placing responsibility on the entities that gather and use data. Yet notice and consent is a myth because consumers do not read, cannot comprehend, and have no opportunities to negotiate the terms of privacy policies. Notice and consent is an individualistic approach to data privacy that envisions an atomized person pursing their own self-interest in a competitive marketplace. Menstruators’ needs do not fit this model. Accordingly, this Essay seeks to reconceptualize Femtech within an expanded menstrual justice framework that recognizes the tenets of data feminism. In this vision, Femtech would be an empowering and accurate health tool rather than a data extraction device.

scholarly journals Adverse health effects of low levels of perceived control in Swedish and Russian community samples

2007 ◽  
Vol 7 (1) ◽  
Author(s):  
Johanna Lundberg ◽  
Martin Bobak ◽  
Sofia Malyutina ◽  
Margareta Kristenson ◽  
Hynek Pikhart
Keyword(s):  
Health Effects ◽  
Perceived Control ◽  
Adverse Health Effects ◽  
Adverse Health ◽  
Low Levels

scholarly journals Information Privacy, Data Surveillance and Security--How Aus-tralian Privacy Law Fully Plays Its Role in the Age of Big Data

2019 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Jiexin Zang
Keyword(s):  
Big Data ◽  
Data Protection ◽  
Personal Information ◽  
Strong Support ◽  
Personal Data ◽  
Information Privacy ◽  
Vital Role ◽  
Personal Privacy ◽  
Privacy Law ◽  
Data Surveillance

Privacy and the protection of privacy is a common topic studied by many scholars. From the very beginning of human culture, people have personal privacy, which is not willing for them to be unveiled by others. With the development of information technology, especially the internet, knowledge and information are dealt by internet users in conscious or unconscious way, and personal information has been rapidly and quickly distributed and disseminated all over the world. Personal data can be collected by hackers or interlinks from the website, internet not only provides people an era with internet links, but also an age with information collections, a big data age. With the background of big data, this essay tries to put forward the correlative relationship between the protection of information privacy and the privacy law in Australia. It first has an overview of the concepts of information privacy and data surveillance under the background of big data, then highlights the importance of data security in the age of big data; with a literature review on the development of Australian privacy acts, it further claims that privacy acts or regulations by the federal or states provided strong support for the protection of personal data. Then relationship between the protection information privacy and the need of judicial guarantee is further studied for thorough methods or regimes in data protection. With these points studied, this essay aims to highlight the importance of data protection and information privacy. On the other hand, it aims to provide awareness for readers the vital role privacy laws can play in the protection of people’s personal information and emphases the importance of a continuous evolution for privacy law system in the age of big data.

The Perception of Control in Loud Noise

Perception ◽  
1984 ◽  
Vol 13 (6) ◽  
pp. 709-718
Author(s):  
Shirley Fisher ◽  
Margaret Ledwith
Keyword(s):  
Perceived Control ◽  
Illusion Of Control ◽  
Loud Noise ◽  
Random Generation ◽  
Assessment Task ◽  
Unexpected Effect ◽  
Control Subjects ◽  
Sequential Structure ◽  
Perception Of Control ◽  
Objective Contingency

Perception of control is known to affect performance under stress. Two experiments are reported the object of which was to find out how loud noise during a contingency assessment task influences perceived control. Subjects were required to choose one of two responses, note one of two results, and then provide an overall percentage estimation of the degree of contingency present after 40 trials. Subjects made these judgements for one of three levels of objective contingency (25%, 50%, 75%), either in quiet (55 dBA) or in loud noise (95 dBA) conditions. The first experiment involved a series of randomly chosen, preprogrammed outcomes for noncontingent trials. An unexpected effect of noise was that subjects improved their successes in predicting events, and could only have done so by finding sequential structure in the preprogrammed alternations. They also overestimated control relative to contingency data actually received, at the 25% objective contingency level, but the result could have been dependent on different base levels of data actually received. A second experiment, with a random generation of outcomes for noncontingent trials, resulted in no differences in success levels, but confirmed that noise is associated with the overestimation of contingency at the 25% objective contingency level and demonstrated the same effect for the 50% level. The results are discussed in the context of the ‘illusion of control’.

scholarly journals Characterizing Exploratory Behaviors on a Personal Visualization Interface Using Interaction Logs

2020 ◽  
Author(s):  
Poorna TalkadSukumar ◽  
Gonzalo J. Martinez ◽  
Ted Grover ◽  
Gloria Mark ◽  
Sidney D'Mello ◽  
...  
Keyword(s):  
Interface Design ◽  
Personal Data ◽  
User Interactions ◽  
Separate Class

Personal visualizations present a separate class of visualizations where users interact with their own data to draw inferences about themselves. In this paper, we study how a realistic understanding of personal visualizations can be gained from analyzing user interactions. We designed an interface presenting visualizations of the personal data gathered in a prior study and logged interactions from 369 participants as they each explored their own data. We found that the participants spent different amounts of time in exploring their data and used a variety of physical devices which could have affected their engagement with the visualizations. Our findings also suggest that the participants made more comparisons between their data instances than with the provided baselines and certain interface design choices, such as the ordering of options, influenced their exploratory behaviors.

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