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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…

Human-Computer Interaction · Computer Science 2019-09-23 Arunesh Mathur , Gunes Acar , Michael J. Friedman , Elena Lucherini , Jonathan Mayer , Marshini Chetty , Arvind Narayanan

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.…

Human-Computer Interaction · Computer Science 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 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…

Human-Computer Interaction · Computer Science 2024-01-10 Yuki Yada , Tsuneo Matsumoto , Fuyuko Kido , Hayato Yamana

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…

Human-Computer Interaction · Computer Science 2021-01-14 Arunesh Mathur , Jonathan Mayer , Mihir Kshirsagar

Past studies have illustrated the prevalence of UI dark patterns, or user interfaces that can lead end-users toward (unknowingly) taking actions that they may not have intended. Such deceptive UI designs can result in adverse effects on end…

Software Engineering · Computer Science 2023-03-14 SM Hasan Mansur , Sabiha Salma , Damilola Awofisayo , Kevin Moran

Dark patterns, which are user interface designs in online services, induce users to take unintended actions. Recently, dark patterns have been raised as an issue of privacy and fairness. Thus, a wide range of research on detecting dark…

Machine Learning · Computer Science 2025-04-01 Yuki Yada , Jiaying Feng , Tsuneo Matsumoto , Nao Fukushima , Fuyuko Kido , Hayato Yamana

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…

Human-Computer Interaction · Computer Science 2021-07-19 Christian Voigt , Stephan Schlögl , Aleksander Groth

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…

Computers and Society · Computer Science 2024-07-16 Weiwei Yi , Zihao Li

Information flow analysis has largely ignored the setting where the analyst has neither control over nor a complete model of the analyzed system. We formalize such limited information flow analyses and study an instance of it: detecting the…

Cryptography and Security · Computer Science 2014-05-13 Michael Carl Tschantz , Amit Datta , Anupam Datta , Jeannette M. Wing

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…

Human-Computer Interaction · Computer Science 2024-04-03 Martin Brenncke

Which song will Smith listen to next? Which restaurant will Alice go to tomorrow? Which product will John click next? These applications have in common the prediction of user trajectories that are in a constant state of flux over a hidden…

Social and Information Networks · Computer Science 2016-02-22 Flavio Figueiredo , Bruno Ribeiro , Jussara Almeida , Christos Faloutsos

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…

Human-Computer Interaction · Computer Science 2021-06-02 Kerstin Bongard-Blanchy , Arianna Rossi , Salvador Rivas , Sophie Doublet , Vincent Koenig , Gabriele Lenzini

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…

Human-Computer Interaction · Computer Science 2026-02-24 Daksh Pandey

Mobile apps bring us many conveniences, such as online shopping and communication, but some use malicious designs called dark patterns to trick users into doing things that are not in their best interest. Many works have been done to…

Human-Computer Interaction · Computer Science 2024-12-02 Jieshan Chen , Jiamou Sun , Sidong Feng , Zhenchang Xing , Qinghua Lu , Xiwei Xu , Chunyang Chen

Self-ordering kiosks (SOKs) are widely deployed in fast food restaurants, transforming food ordering into digitally mediated, self-navigated interactions. While these systems enhance efficiency and average order value, they also create…

Human-Computer Interaction · Computer Science 2026-03-31 Aditya Kumar Purohit , Yuwei Liu , Manon Berney , Hendrik Heuer , Adrian Holzer

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…

Information Retrieval · Computer Science 2024-06-05 Arya Ramteke , Sankalp Tembhurne , Gunesh Sonawane , Ratnmala N. Bhimanpallewar

User preference modeling is a vital yet challenging problem in personalized product search. In recent years, latent space based methods have achieved state-of-the-art performance by jointly learning semantic representations of products,…

Information Retrieval · Computer Science 2022-02-15 Fan Lu , Qimai Li , Bo Liu , Xiao-Ming Wu , Xiaotong Zhang , Fuyu Lv , Guli Lin , Sen Li , Taiwei Jin , Keping Yang

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…

Human-Computer Interaction · Computer Science 2022-07-22 Colin M. Gray , Jingle Chen , Shruthi Sai Chivukula , Liyang Qu

Mobile applications (a.k.a., apps), which facilitate a large variety of tasks on mobile devices, have become indispensable in our everyday lives. Accomplishing a task may require the user to navigate among various apps. Unlike Web pages…

Human-Computer Interaction · Computer Science 2017-06-27 Ziniu Hu , Yun Ma , Qiaozhu Mei , Jian Tang

With online payment platforms being ubiquitous and important, fraud transaction detection has become the key for such platforms, to ensure user account safety and platform security. In this work, we present a novel method for detecting…

Machine Learning · Computer Science 2020-03-30 Longfei Li , Ziqi Liu , Chaochao Chen , Ya-Lin Zhang , Jun Zhou , Xiaolong Li
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