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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
Techno-Utopians, Scammers, and Bullshitters: The Promise ...
Amy A. Winecoff, Johannes Lenhard · 2023-07-15 · via cs.HC updates on arXiv.org

Proponents and developers of Web3 and blockchain argue that these technologies can revolutionize how people live and work by empowering individuals and distributing decision-making power. While technologists often have expansive hopes for what their technologies will accomplish over the long term, the practical challenges of developing, scaling, and maintaining systems amidst present-day constraints can compromise progress toward this vision. How technologists think about the technological future they hope to enable and how they navigate day-to-day issues impacts the form technologies take, their potential benefits, and their potential harms. In our current work, we aimed to explore the visions of Web3 and blockchain technologists and identify the immediate challenges that could threaten their visions. We conducted semi-structured interviews with 29 operators and professional investors in the Web3 and blockchain field. Our findings revealed that participants supported several ideological goals for their projects, with decentralization being a pivotal mechanism to enable user autonomy, distribute governance power, and promote financial inclusion. However, participants acknowledged the practical difficulties in fulfilling these promises, including the need for rapid technology development, conflicts of interest among stakeholders due to platform financing dynamics, and the challenge of expanding to mainstream users who may not share the "Web3 ethos." If negotiated ineffectively, these challenges could lead to negative outcomes, such as corrupt governance, increased inequality, and increased prevalence of scams and dubious investment schemes. While participants thought education, regulation, and a renewed commitment to the original blockchain ideals could alleviate some problems, they expressed skepticism about the potential of these solutions.