Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data
Volume: 10, Issue: 1, Pages: 115 - 128
Published: Jan 1, 2019
Abstract
We proposed a probabilistic approach to joint modeling of participants' reliability and humans' regularity in crowdsourced affective studies. Reliability measures how likely a subject will respond to a question seriously; and regularity measures how often a human will agree with other seriously-entered responses coming from a targeted population. Crowdsourcing-based studies or experiments, which rely on human self-reported affect, pose...
Paper Details
Title
Probabilistic Multigraph Modeling for Improving the Quality of Crowdsourced Affective Data
Published Date
Jan 1, 2019
Volume
10
Issue
1
Pages
115 - 128
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