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The limitations and extent of category generalization within a partially learned hierarchical structure

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Most people are experts in some area of information; however, they may not be knowledgeable about other closely related areas. How knowledge is generalized to hierarchically related categories was explored. Past work has found little to no generalization to categories closely related to learned categories. These results do not fit…

Most people are experts in some area of information; however, they may not be knowledgeable about other closely related areas. How knowledge is generalized to hierarchically related categories was explored. Past work has found little to no generalization to categories closely related to learned categories. These results do not fit well with other work focusing on attention during and after category learning. The current work attempted to merge these two areas of by creating a category structure with the best chance to detect generalization. Participants learned order level bird categories and family level wading bird categories. Then participants completed multiple measures to test generalization to old wading bird categories, new wading bird categories, owl and raptor categories, and lizard categories. As expected, the generalization measures converged on a single overall pattern of generalization. No generalization was found, except for already learned categories. This pattern fits well with past work on generalization within a hierarchy, but do not fit well with theories of dimensional attention. Reasons why these findings do not match are discussed, as well as directions for future research.
ContributorsLancaster, Matthew E (Author) / Homa, Donald (Thesis advisor) / Glenberg, Arthur (Committee member) / Chi, Michelene (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2013
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Laypeople's Perceptions of Expert Bias in 26 Domains

Description
People often rely on experts' opinions and knowledge to inform their own decisions. This can be problematic, as expertise does not necessarily protect one from bias, and increased experience does not always increase an experts' accuracy (Cassidy & Buede, 2009; Goldberg, 1968; Molins et al., 2008). The nature of task…

People often rely on experts' opinions and knowledge to inform their own decisions. This can be problematic, as expertise does not necessarily protect one from bias, and increased experience does not always increase an experts' accuracy (Cassidy & Buede, 2009; Goldberg, 1968; Molins et al., 2008). The nature of task characteristics of expert domains is associated with experts' performance (Shanteau 1992). The purpose of this thesis is to examine how people perceive experts in different disciplines, and to explore the factors that affect perceptions of expert objectivity. Perceptions of objectivity in 26 expert domains were examined. As hypothesized, higher ratings of clear and immediate feedback available to experts were associated with higher ratings of objectivity. However, other indicators of higher domain validity were not recognized by laypeople, such as higher levels of training and education. Contrary to our hypotheses, higher levels of familiarity with experts in a given domain and more experiences of disagreement with experts in a given domain were not associated with perceptions of objectivity. These results suggest that laypeople can correctly identify some indicators of the validity of different expert domains, but they cannot identify others. These perceptions affect how objectivity is perceived.
ContributorsVelez, Rebecca Ellen (Author) / Neal, Tess (Thesis director) / Salerno, Jessica (Committee member) / School of Social and Behavioral Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12