Cookies and Web browser design

Millett, Lynette I.; Friedman, Batya; Felten, Edward W.

doi:10.1145/365024.365034

Cited by 85 publications

(12 citation statements)

References 3 publications

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“…), whether to turn persistent cookies into session cookies, and whether to make decisions based on cookie-specific privacy policies or privacy policies for the broader website. Analyses of previous versions of browser cookie interfaces have found them to be inadequate [Millett et al 2001], and from the difficulties we observed users having in interpreting the IE6 preference configuration screen, it is clear that further work is needed to develop effective cookie interfaces.…”

Section: Summary Of Findings and Future Workmentioning

confidence: 95%

User interfaces for privacy agents

Cranor

Guduru

Arjula

2006

ACM Trans. Comput.-Hum. Interact.

196

134

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Most people do not often read privacy policies because they tend to be long and difficult to understand. The Platform for Privacy Preferences (P3P) addresses this problem by providing a standard machine-readable format for website privacy policies. P3P user agents can fetch P3P privacy policies automatically, compare them with a user's privacy preferences, and alert and advise the user. Developing user interfaces for P3P user agents is challenging for several reasons: privacy policies are complex, user privacy preferences are often complex and nuanced, users tend to have little experience articulating their privacy preferences, users are generally unfamiliar with much of the terminology used by privacy experts, users often do not understand the privacy-related consequences of their behavior, and users have differing expectations about the type and extent of privacy policy information they would like to see. We developed a P3P user agent called Privacy Bird. Our design was informed by privacy surveys and our previous experience with prototype P3P user agents. We describe our design approach, compare it with the approach used in other P3P use agents, evaluate our design, and make recommendations to designers of other privacy agents.

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Section: Summary Of Findings and Future Workmentioning

confidence: 95%

User interfaces for privacy agents

Cranor

Guduru

Arjula

2006

ACM Trans. Comput.-Hum. Interact.

196

134

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“…Cookies were initially developed to allow users to re-visit websites without the need to identify themselves and their preferences each time. However, in subsequent years cookies have been used in other ways, including in personalization processes (Millett, Friedman, & Felten, 2001). Personalization is initiated by a commercial entity, aiming to offer the customer products and services that best suited him/her, based on previously collected data (Li & Unger, 2012).…”

Section: Related Work Personalization and Customization In A Privacy mentioning

confidence: 99%

“…Personalization is initiated by a commercial entity, aiming to offer the customer products and services that best suited him/her, based on previously collected data (Li & Unger, 2012). This may bear different benefits for both the consumer and the vendor, however cookies that enable personalization might also be used in ways that invade users' privacy, for example third party websites use cookies to create user profiles without their knowledge and track users' online activities (Millett et al, 2001;Milne, 2000).…”

Section: Related Work Personalization and Customization In A Privacy mentioning

confidence: 99%

Place Determinants for the Personalization-Privacy Tradeoff among Students

Weinberger

Bouhnik

2018

IISIT

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Aim/Purpose: This exploratory study investigates the influential factors of users’ decisions in the dilemma of whether to agree to online personalization or to protect their online privacy. Background: Various factors related to online privacy and anonymity were considered, such as user’s privacy concern on the Web in general and particularly on social networks, user online privacy literacy, and field of study. Methodology: To this end, 155 students from different fields of study in the Israeli academia were administered closed-ended questionnaires. Findings: The multivariate linear regression analysis showed that as the participants’ privacy concern increases, they tend to prefer privacy protection over online personalization. In addition, there were significant differences between men and women, as men tended to favor privacy protection more than women did. Impact on Society: This research has social implications for the academia and general public as they show it is possible to influence the personalization-privacy tradeoff and encourage users to prefer privacy protection by raising their concern for the preservation of their online privacy. Furthermore, the users’ preference to protect their privacy even at the expense of their online malleability may lead to the reduction of online privacy-paradox behavior. Future Research: Since our results were based on students' self-perceptions, which might be biased, future work should apply qualitative analysis to explore additional types and influencing factors of online privacy behavior.

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“…Cookies were initially developed to allow users to revisit websites without the need to identify themselves and their preferences each time. However, in subsequent years cookies have been used in other ways, including in personalization processes (Millett et al, 2001).…”

Section: Privacy Issues and Personalizationmentioning

confidence: 99%

“…Personalization is used many times by commercial entities, offering customers products and services that best suit them, based on previously collected data (Li and Unger, 2012). This method may benefit both the consumer and the vendor; however, cookies that enable personalization might also be used in ways that invade users' privacy, for example, thirdparty websites use cookies to create user profiles without their knowledge and track users' online activities (Millett et al, 2001;Milne, 2000).…”

Section: Privacy Issues and Personalizationmentioning

confidence: 99%

Various information aspects following the emergence of music streaming applications

Weinberger

Bouhnik

2020

OIR

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PurposeThis exploratory study explores usage habits in music streaming applications (MSA) and their influence on various dimensions, such as: changes in personal music management (PMM) and musical information retrieval; sense of ownership over songs being stored on MSA; and privacy concerns when using those applications. It also investigates the potential effect of demographic factors and personal musical preferences on the tested variables.Design/methodology/approachThis is examined by using a mixed methodology that is consisted of two phases – qualitative and quantitative: The qualitative phase includes semistructured interviews with three MSA users, and the quantitative phase includes the distribution of closed-ended questionnaires among 192 users of MSA.FindingsIt seems that the musical information management methods have changed dramatically with the introduction of MSA. Also, the findings show that even though users are only moderately concerned about their privacy within MSA, they are willing to pay for premium services that will ensure privacy protection. Interestingly, personal musical preference was found to affect the belief in the potential of using MSA as part of a social activity and on the willingness to pay for premium services within them.Originality/valueThis paper represents an extension of the article by Weinberger and Bouhnik (2019). It appears to be the first academic research to investigate the issue of musical information retrieval and PMM among MSA. In addition, it is the first study that takes into account privacy-related issues among MSA users.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2020-0118

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Cookies and Web browser design

Cited by 85 publications

References 3 publications

User interfaces for privacy agents

User interfaces for privacy agents

Place Determinants for the Personalization-Privacy Tradeoff among Students

Various information aspects following the emergence of music streaming applications

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