What Cookie Consent Notices Do Users Prefer: A Study In The Wild
What Cookie Consent Notices Do Users Prefer: A Study In The Wild
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用户更喜欢哪些 Cookie 同意通知:一项野外研究
DOI:
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发表时间:
2022
期刊:
影响因子:
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通讯作者:
Mainack Mondal
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文献类型:
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作者:
Ashutosh Kumar Singh;Nisarg Upadhyaya;Arka Seth;Xuehui Hu;Nishanth R. Sastry;Mainack Mondal
Laws like GDPR in the EU mandated all websites operating in their jurisdiction to obtain users’ informed consent before tracking those users and collecting their data. Today, this is achieved by showing users cookie consent notices. These notices are ubiquitous (often permeating the geographical boundaries of GDPR enforcement), even though their exact user interface (UI) designs vary. These designs are provided by Consent Management Platforms (CMPs) to different websites, effectively resulting in a handful of cookie consent notice designs being shown to a majority of internet users. Naturally, not all designs are uniformly liked by the users. Thus the first step of improving cookie consent notice UI design and moving to a better consent mechanism is to understand whether users prefer one design over another in the wild and why. To answer these questions, in this work, we conduct an in the wild comparative survey with 98 participants where 64.3% of the participants were from the EU (i.e., GDPR is applicable), and the rest were self-reported to be located outside of the EU. In this within-subjects study, our participants ranked five different popular cookie consent UI designs (leveraged by CMPs used in Alexa UK Top500 websites) and gave rationale for their choices. Our analysis found that the slider design is statistically significantly better ranked (and thus most liked) than all other designs. Our further qualitative analysis identifies and unpacks five key design factors which impacted our participants’ liking/disliking of consent notice UI designs (as captured by the ranks given to these designs by our participants) – ease of use, amount of information, customisability, decision-making time, and clarity/transparency. We conclude this work by discussing the implications of our findings on future cookie consent notice UI designs.
DOI:
10.1145/3411764.3445779
发表时间:
2021
期刊:
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing
影响因子:
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作者:
Gray, Colin M.;Santos, Cristiana;Bielova, Nataliia;Toth, Michael;Clifford, Damian
通讯作者:
Clifford, Damian
DOI:
10.1145/3491102.3501985
发表时间:
2022
期刊:
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
影响因子:
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作者:
Habib, Hana;Li, Megan;Young, Ellie;Cranor, Lorrie
通讯作者:
Cranor, Lorrie