Description
Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task is created that aims
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Contributors
- Kemmer, Ryan Wyeth (Author)
- Escobedo, Adolfo (Thesis director)
- Maciejewski, Ross (Committee member)
- Computing and Informatics Program (Contributor)
- Computer Science and Engineering Program (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2020-05
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