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Qrowdsmith: Enhancing paid microtask crowdsourcing with gamification and furtherance incentives
Microtask crowdsourcing platforms are social intelligence systems in which volunteers,
called crowdworkers, complete small, repetitive tasks in return for a small fee. Beyond …
called crowdworkers, complete small, repetitive tasks in return for a small fee. Beyond …
The dark side of recruitment in crowdsourcing: Ethics and transparency in micro-task marketplaces
Micro-task crowdsourcing marketplaces like Figure Eight (F8) connect a large pool of
workers to employers through a single online platform, by aggregating multiple …
workers to employers through a single online platform, by aggregating multiple …
Performance of paid and volunteer image labeling in citizen science—a retrospective analysis
Citizen science projects that rely on human computation can attempt to solicit volunteers or
use paid microwork platforms such as Amazon Mechanical Turk. To better understand these …
use paid microwork platforms such as Amazon Mechanical Turk. To better understand these …
Using Q-Learning for Sequencing Level Difficulties in a Citizen Science Matching Game
Sequencing task difficulty and variety can be a powerful tool for increasing engagement in
online citizen science platforms. The abundance of available participant data presents great …
online citizen science platforms. The abundance of available participant data presents great …
Role of intrinsic motivation in user interface design to enhance worker performance in amazon mturk
Biologists and scientists have been tackling the problem of marine life monitoring and fish
stock estimation for many years now. Efforts are now directed to move towards non-intrusive …
stock estimation for many years now. Efforts are now directed to move towards non-intrusive …
Role of Intrinsic Motivation in User Interface Design to Enhance Worker Performance in Amazon MTurk
Biologists and scientists have been tackling the problem of marine life monitoring and fish
stock estimation for many years now. Efforts are now directed to move towards non-intrusive …
stock estimation for many years now. Efforts are now directed to move towards non-intrusive …
Designing effective interfaces for motivating engagement in crowdsourced image labeling
SE Spatharioti - 2020 - search.proquest.com
Crowdsourcing has been established as a viable solution for rapidly analyzing large
amounts of data that require human judgment. Within this area, image labeling tasks have …
amounts of data that require human judgment. Within this area, image labeling tasks have …
[PDF][PDF] Does Flight Path Context Matter? Impact on Worker Performance in Crowdsourced Aerial Imagery Analysis.
Natural disasters result in billions of dollars in damages annually and communities left
struggling with the difficult task of response and recovery. To this end, small private aircraft …
struggling with the difficult task of response and recovery. To this end, small private aircraft …