惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

M
MIT News - Artificial intelligence
罗磊的独立博客
Hugging Face - Blog
Hugging Face - Blog
J
Java Code Geeks
G
Google Developers Blog
美团技术团队
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
腾讯CDC
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
T
The Blog of Author Tim Ferriss
月光博客
月光博客
B
Blog
WordPress大学
WordPress大学
云风的 BLOG
云风的 BLOG
博客园_首页
人人都是产品经理
人人都是产品经理
aimingoo的专栏
aimingoo的专栏
Y
Y Combinator Blog
Jina AI
Jina AI
S
SegmentFault 最新的问题
H
Help Net Security
博客园 - 聂微东
Microsoft Azure Blog
Microsoft Azure Blog
Google DeepMind News
Google DeepMind News

cs.HC updates on arXiv.org

Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video Vision-Language Models Suppress Female Representations Under Ambiguous Input The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace TUX: Measuring Human--AI Tacit Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Bayesian Distributional Models of Executive Functioning Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Data-driven Head Motion Generation through Natural Gaze-Head Coordination Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Personality Engineering with AI Agents: A New Methodology for Negotiation Research PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis nASR: An End-to-End Trainable Neural Layer for Channel-Level EEG Artifact Subspace Reconstruction in Real-Time BCI
A Juridicidade e a Regulamentação dos Dark Patterns
Heitor Ferreira Gonzaga · 2023-02-17 · via cs.HC updates on arXiv.org

The evolution of audiovisual computer interfaces was an important milestone for the popularization of the internet without which it is impossible to conceive the use of this technology in modern society However the progress of these interfaces has not taken exclusively beneficial paths for humanity From the beginning of the 21st century onwards an increase in interface design patterns was observed that instead of facilitating navigation harmed users or restricted their decisionmaking capabilities earning them the name of Dark Patterns In view of this the present work aims to address whether Dark Patterns are legal or illegal in the face of Brazilian data protection and consumer law verifying in the absence of specific norms on Dark Patterns the best way to regulate them The research method employed is qualitative analyzing research court cases norms and national and foreign documents on Dark Patterns After addressing its effects its legal development and establishing a definition compatible with Brazilian law it was concluded that although some implementations are capable of producing damage and violating rights in some cases the mere declaration of the illegality of these techniques is an insufficient solution requiring further investigations regarding the hypotheses in which their negative impacts are less apparent or when they are used for beneficial purposes among other unsolved problems Therefore it is suggested that the regulation of Dark Patterns should occur through a system composed of formal laws and regulations of public administration bodies through a multidisciplinary approach that is adaptable to new findings and technologies