Tootfinder

Conducting Mission-Critical Voice Experiments with Automated Speech Recognition and Crowdsourcing
Jan Janak, Kahlil Dozier, Lauren Berny, Liang Hu, Dan Rubenstein, Charles Jennings, Henning Schulzrinne
https://arxiv.org/abs/2509.13724

Conducting Mission-Critical Voice Experiments with Automated Speech Recognition and Crowdsourcing
Mission-critical voice (MCV) communications systems have been a critical tool for the public safety community for over eight decades. Public safety users expect MCV systems to operate reliably and consistently, particularly in challenging conditions. Because of these expectations, the Public Safety Communications Research (PSCR) Division of the National Institute of Standards and Technology (NIST) has been interested in correlating impairments in MCV communication systems and public safety user…

Give me your suggestions for "assassinated revolutionaries" missing from this #Wikipedia category.
#crowdsourcing

What Makes a Visualization Complex?
Mengdi Chu, Zefeng Qiu, Meng Ling, Shuning Jiang, Robert S. Laramee, Michael Sedlmair, Jian Chen
https://arxiv.org/abs/2510.08332 https://

What Makes a Visualization Complex?
We investigate the perceived visual complexity (VC) in data visualizations using objective image-based metrics. We collected VC scores through a large-scale crowdsourcing experiment involving 349 participants and 1,800 visualization images. We then examined how these scores align with 12 image-based metrics spanning information-theoretic, clutter, color, and our two object-based metrics. Our results show that both low-level image properties and the high-level elements affect perceived VC in vis…

PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
Hongbo Liu, Jiannong Cao, Bo Yang, Dongbin Bai, Yinfeng Cao, Xiaoming Shen, Yinan Zhang, Jinwen Liang, Shan Jiang, Mingjin Zhang
https://arxiv.org/abs/2510.02395

PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
The rapid advancement of large language models (LLMs) in recent years has revolutionized the AI landscape. However, the deployment model and usage of LLM services remain highly centralized, creating significant trust issues and costs for end users and developers. To address these issues, we propose PolyLink, a blockchain-based decentralized AI platform that decentralizes LLM development and inference. Specifically, PolyLink introduces a decentralized crowdsourcing architecture that supports sin…

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases
Babak Naderi, Ross Cutler
https://arxiv.org/abs/2509.20118 https://…

Comparative Study of Subjective Video Quality Assessment Test Methods in Crowdsourcing for Varied Use Cases
In crowdsourced subjective video quality assessment, practitioners often face a choice between Absolute Category Rating (ACR), ACR with Hidden Reference (ACR-HR), and Comparison Category Rating (CCR). We conducted a P.910-compliant, side-by-side comparison across six studies using 15 talking-head sources of good and fair quality, processed with realistic degradations (blur, scaling, compression, freezing, and their combinations), as well as a practical bitrate-ladder task at 720p and 1080p reso…

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
Anchal Gupta, Gleb Pappyshev, James T Kwok
https://arxiv.org/abs/2509.26150

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
"Double, double toil and trouble; Fire burn and cauldron bubble." As Shakespeare's witches foretold chaos through cryptic prophecies, modern capital markets grapple with systemic risks concealed by opaque AI systems. According to IMF, the August 5, 2024, plunge in Japanese and U.S. equities can be linked to algorithmic trading yet ab-sent from existing AI incidents database exemplifies this transparency crisis. Current AI incident databases, reliant on crowdsourcing or news scraping, systematic…

Crosslisted article(s) found for stat.ME. https://arxiv.org/list/stat.ME/new
[1/1]:
- Crowdsourcing Without People: Modelling Clustering Algorithms as Experts
Jordyn E. A. Lorentz, Katharine M. Clark

Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms
Babak Naderi, Ross Cutler
https://arxiv.org/abs/2509.20001 https://arxiv…

Ensuring Reliable Participation in Subjective Video Quality Tests Across Platforms
Subjective video quality assessment (VQA) is the gold standard for measuring end-user experience across communication, streaming, and UGC pipelines. Beyond high-validity lab studies, crowdsourcing offers accurate, reliable, faster, and cheaper evaluation-but suffers from unreliable submissions by workers who ignore instructions or game rewards. Recent tests reveal sophisticated exploits of video metadata and rising use of remote-desktop (RD) connections, both of which bias results. We propose o…