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Eeshan Hasan; Erik Duhaime; Jennifer S. Trueblood – Cognitive Research: Principles and Implications, 2024
A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individuals recruited through an app-based platform. Individuals classified skin lesions from the International…
Descriptors: Algorithms, Human Body, Classification, Knowledge Level
Schmidt, Marco F. H.; Rakoczy, Hannes; Tomasello, Michael – Cognition, 2012
To become cooperative members of their cultural groups, developing children must follow their group's social norms. But young children are not just blind norm followers, they are also active norm enforcers, for example, protesting and correcting when someone plays a conventional game the "wrong" way. In two studies, we asked whether young children…
Descriptors: Young Children, Norms, Child Development, Games
Yu, Chen; Yurovsky, Daniel; Xu, Tian – Infancy, 2012
Infant eye movements are an important behavioral resource to understand early human development and learning. But the complexity and amount of gaze data recorded from state-of-the-art eye-tracking systems also pose a challenge: how does one make sense of such dense data? Toward this goal, this article describes an interactive approach based on…
Descriptors: Infants, Eye Movements, Visual Aids, Data Analysis
Zhang, Jinguang; Reid, Scott A. – Human Communication Research, 2013
The public expression of opinions (and related communicative activities) hinges upon the perception of opinion consensus. Current explanations for opinion consensus perceptions typically focus on egocentric and other biases, rather than functional cognitions. Using self-categorization theory we showed that opinion consensus perceptions flow from…
Descriptors: Public Opinion, Mass Media Effects, Models, Social Behavior