Yu, Na-Yung (2010-08). Background Knowledge, Category Labels, and Similarity Judgment. Doctoral Dissertation. Thesis uri icon

abstract

  • Labels are one source of our judgments. By assigning labels to objects, we not only create references but we also group prior and current experiences together. The goal of this research is to investigate how labels influence our judgments. Previous research on inductive generalization shows that labels can be more important than physical characteristics (the labeling effect), but the mechanism for this effect remains unclear. There are two differing views regarding the role of labels. One view proposes that labels are not essentially different from physical features: shared labels increase overall similarity between two items in the same way as shared physical features. The other view suggests that people have a na?ve theory that shared labels are more special than shared physical features. The goal of this dissertation is to provide evidence that complements these conflicting views. I suggest that the role of labels varies depending on the background knowledge: types of categories (living things vs. man-made objects), amount of knowledge (number of exemplars people could list for the category), and types of labels (categorical vs. indexical). The results from four experiments showed that, for living things, the labeling effect is strong and depends less on the amount of knowledge; for man-made objects, the labeling effect is weak and depends on the amount of knowledge.
  • Labels are one source of our judgments. By assigning labels to objects, we not
    only create references but we also group prior and current experiences together. The goal
    of this research is to investigate how labels influence our judgments. Previous research
    on inductive generalization shows that labels can be more important than physical
    characteristics (the labeling effect), but the mechanism for this effect remains unclear.
    There are two differing views regarding the role of labels. One view proposes that labels
    are not essentially different from physical features: shared labels increase overall
    similarity between two items in the same way as shared physical features. The other
    view suggests that people have a na?ve theory that shared labels are more special than
    shared physical features. The goal of this dissertation is to provide evidence that
    complements these conflicting views. I suggest that the role of labels varies depending
    on the background knowledge: types of categories (living things vs. man-made objects),
    amount of knowledge (number of exemplars people could list for the category), and
    types of labels (categorical vs. indexical). The results from four experiments showed
    that, for living things, the labeling effect is strong and depends less on the amount of knowledge; for man-made objects, the labeling effect is weak and depends on the
    amount of knowledge.

publication date

  • August 2010