A survey on task assignment in crowdsourcing

D Hettiachchi, V Kostakos, J Goncalves - ACM Computing Surveys …, 2022 - dl.acm.org
Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …

Designing for hybrid intelligence: A taxonomy and survey of crowd-machine interaction

A Correia, A Grover, D Schneider, AP Pimentel… - Applied Sciences, 2023 - mdpi.com
With the widespread availability and pervasiveness of artificial intelligence (AI) in many
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …

All those wasted hours: On task abandonment in crowdsourcing

L Han, K Roitero, U Gadiraju, C Sarasua… - Proceedings of the …, 2019 - dl.acm.org
Crowdsourcing has become a standard methodology to collect manually annotated data
such as relevance judgments at scale. On crowdsourcing platforms like Amazon MTurk or …

The impact of task abandonment in crowdsourcing

L Han, K Roitero, U Gadiraju, C Sarasua… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
Crowdsourcing has become a standard methodology to collect manually annotated data
such as relevance judgments at scale. On crowdsourcing platforms like Amazon MTurk or …

Crowd worker strategies in relevance judgment tasks

L Han, E Maddalena, A Checco, C Sarasua… - Proceedings of the 13th …, 2020 - dl.acm.org
Crowdsourcing is a popular technique to collect large amounts of human-generated labels,
such as relevance judgments used to create information retrieval (IR) evaluation collections …

Playing planning poker in crowds: human computation of software effort estimates

M Alhamed, T Storer - 2021 IEEE/ACM 43rd International …, 2021 - ieeexplore.ieee.org
Reliable cost effective effort estimation remains a considerable challenge for software
projects. Recent work has demonstrated that the popular Planning Poker practice can …

Challenges in trustworthy human evaluation of chatbots

W Zhao, AM Rush, T Goyal - arxiv preprint arxiv:2412.04363, 2024 - arxiv.org
Open community-driven platforms like Chatbot Arena that collect user preference data from
site visitors have gained a reputation as one of the most trustworthy publicly available …

Task design in complex crowdsourcing experiments: Item assignment optimization

S Ceschia, K Roitero, G Demartini, S Mizzaro… - Computers & Operations …, 2022 - Elsevier
Crowdsourcing is the practice of outsourcing a task that would otherwise be performed by
one or a few experts to a crowd of individuals. It is often used to collect large amounts of …

Crowd vs. expert: What can relevance judgment rationales teach us about assessor disagreement?

M Kutlu, T McDonnell, Y Barkallah, T Elsayed… - The 41st International …, 2018 - dl.acm.org
While crowdsourcing offers a low-cost, scalable way to collect relevance judgments, lack of
transparency with remote crowd work has limited understanding about the quality of …

Quality control in crowdsourcing based on fine-grained behavioral features

W Pei, Z Yang, M Chen, C Yue - Proceedings of the ACM on Human …, 2021 - dl.acm.org
Crowdsourcing is popular for large-scale data collection and labeling, but a major challenge
is on detecting low-quality submissions. Recent studies have demonstrated that behavioral …