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相关论文: Dark Haptics: Exploring Manipulative Haptic Design…

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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…

Manipulation defines many of our experiences as a consumer, including subtle nudges and overt advertising campaigns that seek to gain our attention and money. With the advent of digital services that can continuously optimize online…

人机交互 · 计算机科学 2022-07-22 Colin M. Gray , Jingle Chen , Shruthi Sai Chivukula , Liyang Qu

Augmented Reality (AR) applications are becoming more mainstream, with successful examples in the mobile environment like Pokemon GO. Current malicious techniques can exploit these environments' immersive and mixed nature (physical-virtual)…

人机交互 · 计算机科学 2023-03-10 Xian Wang , Lik-Hang Lee , Carlos Bermejo Fernandez , Pan Hui

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

Deceptive/Manipulative Patterns (DMP) are interface designs, also known as ``dark patterns,'' that manipulate user behavior. While considerable attention has been paid to their ethical and legal implications, empirical evidence about their…

人机交互 · 计算机科学 2026-04-20 Brennan Schaffner , Luis Heysen , Marshini Chetty

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

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…

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

Manipulative design in user interfaces (conceptualized as dark patterns) has emerged as a significant impediment to the ethical design of technology and a threat to user agency and freedom of choice. While previous research focused on…

人机交互 · 计算机科学 2024-02-13 Mateusz Dubiel , Anastasia Sergeeva , Luis A. Leiva

Deceptive UI designs, widely instantiated across the web and commonly known as dark patterns, manipulate users into performing actions misaligned with their goals. In this paper, we show that dark patterns are highly effective in steering…

密码学与安全 · 计算机科学 2026-02-09 Phil Cuvin , Hao Zhu , Diyi Yang

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 utilize interface elements to trick users into performing unwanted actions. Online shopping websites often employ these manipulative mechanisms so as to increase their potential customer base, to boost their sales, or to…

人机交互 · 计算机科学 2021-07-19 Christian Voigt , Stephan Schlögl , Aleksander Groth

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

The issue of dark patterns and deceptive designs (DPs) in everyday interfaces and interactions continues to grow. DPs are manipulative and malicious elements within user interfaces that deceive users into making unintended choices. In…

人机交互 · 计算机科学 2024-05-16 Weichen Joe Chang , Katie Seaborn , Andrew A. Adams

Dark patterns in user interfaces represent deceptive design practices intended to manipulate users' behavior, often leading to unintended consequences such as coerced purchases, involuntary data disclosures, or user frustration. Detecting…

人机交互 · 计算机科学 2024-12-20 Aliyu Umar , Maaruf Lawan , Adamu Lawan , Abdullahi Abdulkadir , Mukhtar Dahiru

The dark patterns, deceptive interface designs manipulating user behaviors, have been extensively studied for their effects on human decision-making and autonomy. Yet, with the rising prominence of LLM-powered GUI agents that automate tasks…

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

Deceptive patterns, dark patterns, and manipulative user interfaces (UI) are a widely used design strategy that manipulates users to act against their own interests in pursuit of shareholder aims. These patterns may particularly affect…

人机交互 · 计算机科学 2026-04-20 Tobias Pellkvist , Katie Seaborn , Miu Kojima

This study explores the prevalence of dark patterns in mobile games that exploit players through temporal, monetary, social, and psychological means. Recognizing the ethical concerns and potential harm surrounding these manipulative…

人机交互 · 计算机科学 2024-12-09 Sam Niknejad , Thomas Mildner , Nima Zargham , Susanne Putze , Rainer Malaka

Persuasive designs become prevalent on smartphones, and an increasing number of users report having problematic smartphone use behaviours. Persuasive designs in smartphones might be accountable for the development and reinforcement of such…

人机交互 · 计算机科学 2023-05-24 Xiaowei Chen , Anders Hedman , Verena Distler , Vincent Koenig
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