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相关论文: A Juridicidade e a Regulamenta\c{c}\~ao dos Dark P…

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There is a rapidly growing literature on dark patterns, user interface designs -- typically related to shopping or privacy -- that researchers deem problematic. Recent work has been predominantly descriptive, documenting and categorizing…

人机交互 · 计算机科学 2021-01-14 Arunesh Mathur , Jonathan Mayer , Mihir Kshirsagar

Lawmakers around the country are crafting new laws to target "dark patterns" -- user interface designs that trick or coerce users into enabling cell phone location tracking, sharing browsing data, initiating automatic billing, or making…

计算机与社会 · 计算机科学 2023-07-18 Gregory M. Dickinson

Dark patterns, design tricks used on online interfaces to manipulate users decision-making process, have raised public concerns. However, research on regulation of dark pattern remains underdeveloped and scattered, particularly regarding…

计算机与社会 · 计算机科学 2024-07-16 Weiwei Yi , Zihao Li

Dark patterns have become increasingly pervasive in online choice architectures, encompassing practices like subscription traps, hiding information about fees, pre-selecting options by default, nagging, and drip pricing. Regulators around…

人机交互 · 计算机科学 2024-04-03 Martin Brenncke

Dark patterns in online commerce, especially deceptive user interface designs for apps and websites, undermine consumer autonomy and distort online markets. Although sometimes deception is intentional, the complex app development process…

计算机与社会 · 计算机科学 2026-03-12 Gregory M. Dickinson

Dark patterns are interface designs that nudge users towards behavior that is against their best interests. Since humans are often not even aware that they are influenced by these malicious patterns, research has to identify ways to protect…

人机交互 · 计算机科学 2021-03-30 Philip Hausner , Michael Gertz

User engagement with data privacy and security through consent banners has become a ubiquitous part of interacting with internet services. While previous work has addressed consent banners from either interaction design, legal, and…

人机交互 · 计算机科学 2021-02-05 Colin M. Gray , Cristiana Santos , Nataliia Bielova , Michael Toth , Damian Clifford

Interest in unethical user interfaces has grown in HCI over recent years, with researchers identifying malicious design strategies referred to as ''dark patterns''. While such strategies have been described in numerous domains, we lack a…

人机交互 · 计算机科学 2023-05-23 Thomas Mildner , Merle Freye , Gian-Luca Savino , Philip R. Doyle , Benjamin R. Cowan , Rainer Malaka

User experience designers are facing increasing scrutiny and criticism for creating harmful technologies, leading to a pushback against unethical design practices. While clear-cut harmful practices such as dark patterns have received…

人机交互 · 计算机科学 2023-04-04 Hauke Sandhaus

Dark patterns are deceptive user interface designs for online services that make users behave in unintended ways. Dark patterns, such as privacy invasion, financial loss, and emotional distress, can harm users. These issues have been the…

人机交互 · 计算机科学 2024-01-10 Yuki Yada , Tsuneo Matsumoto , Fuyuko Kido , Hayato Yamana

Although deceptive design patterns are subject to growing regulatory oversight, enforcement races to keep up with the scale of the problem. One promising solution is automated detection tools, many of which are developed within academia. We…

人机交互 · 计算机科学 2026-02-19 Arianna Rossi , Simon Parkin

Context: Dark patterns are user interface or other software designs that deceive or manipulate users to do things they would not otherwise do. Even though dark patterns have been under active research for a long time, including particularly…

软件工程 · 计算机科学 2025-03-04 Jukka Ruohonen , Jani Koskinen , Søren Harnow Klausen , Anne Gerdes

The problem of ``Dark Patterns" in user interface/user experience (UI/UX) design has proven a difficult issue to tackle. Malicious and explotitative design has expanded to multiple domains in the past 10 years and which has in turn led to…

计算机与社会 · 计算机科学 2024-02-27 Frank Lewis , Julita Vassileva

Online services pervasively employ manipulative designs (i.e., dark patterns) to influence users to purchase goods and subscriptions, spend more time on-site, or mindlessly accept the harvesting of their personal data. To protect users from…

The advancement of artificial intelligence has transformed user interface design by enabling adaptive and personalized systems. Alongside these benefits, AI driven interfaces have also enabled the emergence of dark patterns, which are…

人机交互 · 计算机科学 2026-02-24 Daksh Pandey

Dark patterns are user interface design choices that benefit an online service by coercing, steering, or deceiving users into making unintended and potentially harmful decisions. We present automated techniques that enable experts to…

As digital interfaces become increasingly prevalent, certain manipulative design elements have emerged that may harm user interests, raising associated ethical concerns and bringing dark patterns into focus as a significant research topic.…

人机交互 · 计算机科学 2024-12-13 Meng Li , Xiang Wang , Liming Nie , Chenglin Li , Yang Liu , Yangyang Zhao , Lei Xue , Kabir Sulaiman Said

Dark patterns are deceptive user interfaces employed by e-commerce websites to manipulate user's behavior in a way that benefits the website, often unethically. This study investigates the detection of such dark patterns. Existing solutions…

信息检索 · 计算机科学 2024-06-05 Arya Ramteke , Sankalp Tembhurne , Gunesh Sonawane , Ratnmala N. Bhimanpallewar

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…

计算机与社会 · 计算机科学 2025-09-24 Paul Graßl , Hanna Schraffenberger , Frederik Zuiderveen Borgesius , Moniek Buijzen

Recent advances in deep learning have promoted the advent of many computational systems capable of performing intelligent actions that, until then, were restricted to the human intellect. In the particular case of human languages, these…

计算与语言 · 计算机科学 2024-05-02 Rúben Almeida , Evelin Amorim
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