In the realm of Human-Computer Interaction (HCI), recent years have seen a growing focus on dark patterns within digital interfaces. Despite the emergence of typologies categorizing these deceitful design strategies, a deeper understanding of their psychological foundations has remained elusive. Through collaborative efforts with experts in psychology and dark pattern scholarship, a "Relationship Model of Cognitive Biases and Dark Patterns" has been developed. This model illuminates the intricate interplay between cognitive biases and deceptive design, pinpointing opportunities for ethical interventions. This research underscores the pivotal role of ethical considerations in HCI, advocating for user-centric design practices that prioritize user well-being.

In the realm of digital marketing, the rise of virtual influencers poses ethical challenges akin to dark patterns. These digitally crafted personas wield significant influence over consumer behavior, blurring the line between genuine endorsement and manipulative tactics. To address this, brands must prioritize transparency and honesty when engaging with virtual influencers, countering the impact of dark patterns and fostering trust in the digital landscape.

This dissertation examines the societal implications of AI through examples such as emotion recognition and thought-based typing. It questions the efficacy of the EU's privacy and data protection rights in the face of advancing AI technologies. Rather than advocating for a new legal framework, the study suggests adjusting existing provisions based on the diverse disciplines within AI and the nature of legal challenges encountered. Proposed mechanisms include rebuttable presumptions and reversal of proof to enhance legislation effectiveness. Additionally, technical advancements addressing reasoning deficiencies in AI systems are deemed essential for ensuring compliance with regulatory standards.

This paper explores user manipulation within information systems research, particularly focusing on manipulative techniques like dark patterns. It emphasizes the need for clarity in understanding these methods and their associated phenomena. Proposing a framework consisting of three dimensions—restriction of autonomy, bad information quality, and the feeling of being tricked—it aims to categorize perceived user manipulation's consequences. The paper suggests that different manipulation types lead to distinct outcomes, influenced by factors like the source, changeability, reason, and timing of perception. Through research propositions, it seeks to contribute to a more comprehensive understanding of user manipulation in digital contexts.

In examining the investigatory and evidentiary methods utilized by courts and scholars regarding dark patterns, a notable contrast emerges. Courts, driven by legal precedent and tangible evidence, focus on retrospective analysis to enforce regulatory measures. Conversely, scholars in computer science employ empirical studies and theoretical frameworks to understand underlying mechanisms and vulnerabilities. Bridging these disciplines requires a nuanced understanding of methodologies and objectives, facilitating collaborative efforts to combat manipulative design practices online. Such interdisciplinary collaboration holds promise for enhancing detection, prevention, and enforcement strategies, ultimately fostering a more ethical digital landscape prioritizing user autonomy and welfare.

Dark patterns, deceptive design strategies intended to manipulate user behavior, have attracted considerable scholarly attention, primarily within non-video game-based platforms. However, there exists a notable dearth of research focusing on the prevalence and implications of dark patterns within video games. Addressing this gap, the present study undertakes a manual analysis of 500 video game reviews to discern the categories of dark patterns integrated into gaming experiences. The objective is to scrutinize the impact of these dark patterns on player privacy and identify avenues for future research to confront pertinent gaps and challenges within this evolving domain.

This research proposal presents a compelling case for investigating a loyalty framework as a means to tackle the widespread prevalence of dark patterns in digital design. Drawing upon insights from both computer science and legal studies, the proposed research aims to shed light on innovative approaches to regulating deceptive design practices. Through rigorous empirical analysis and interdisciplinary collaboration, this study seeks to contribute to the establishment of ethical design standards and regulatory policies that prioritize user autonomy and well-being within the digital landscape.

Certainly! Here's the excerpt in the third-person tone: Examining Social Dynamics in Automated Systems The study delved into the integration of human-like social behaviors in automated systems and the associated challenges. It revealed that while incorporating social cues can enrich user experience, their misuse may result in manipulation and user discomfort. From emotional manipulation to contextual insensitivity, the research underscores the importance of respectful and considerate interaction design practices.

In their investigation of 32 popular Finnish online clothing stores, concerning trends regarding data management and privacy were uncovered. Despite the digitalization of fashion, only 53% of stores clearly disclosed their data collection practices, while 84% employed potentially manipulative cookie banners. These findings underscore the urgent need for fair data processing standards in the fashion industry, aligning with principles of transparency and accountability.

This study explores the impact of dark patterns on user decisions using a hypothetical streaming website subscription purchase as a test case. While users found both studied patterns, confirmshaming and trick-question, manipulative, this didn't affect their trust in the website. Notably, those unaware of dark patterns were more likely to choose a pricier plan when faced with confirmshaming, whereas informed users resisted such tactics. These findings emphasize the importance of raising awareness about dark patterns to protect users' interests.