Influence of emotionally charged information on category-based induction.

Categories help us make predictions, or inductions, about new objects. However, we cannot always be certain that a novel object belongs to the category we are using to make predictions. In such cases, people should use multiple categories to make inductions. Past research finds that people often use...

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Main Authors: Jennifer Zhu, Gregory L Murphy
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3553127?pdf=render
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spelling doaj-16f14094ed0a40d18312a89a72bacde12020-11-25T01:15:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0181e5428610.1371/journal.pone.0054286Influence of emotionally charged information on category-based induction.Jennifer ZhuGregory L MurphyCategories help us make predictions, or inductions, about new objects. However, we cannot always be certain that a novel object belongs to the category we are using to make predictions. In such cases, people should use multiple categories to make inductions. Past research finds that people often use only the most likely category to make inductions, even if it is not certain. In two experiments, subjects read stories and answered questions about items whose categorization was uncertain. In Experiment 1, the less likely category was either emotionally neutral or dangerous (emotionally charged or likely to pose a threat). Subjects used multiple categories in induction when one of the categories was dangerous but not when they were all neutral. In Experiment 2, the most likely category was dangerous. Here, people used multiple categories, but there was also an effect of avoidance, in which people denied that dangerous categories were the most likely. The attention-grabbing power of dangerous categories may be balanced by a higher-level strategy to reject them.http://europepmc.org/articles/PMC3553127?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jennifer Zhu
Gregory L Murphy
spellingShingle Jennifer Zhu
Gregory L Murphy
Influence of emotionally charged information on category-based induction.
PLoS ONE
author_facet Jennifer Zhu
Gregory L Murphy
author_sort Jennifer Zhu
title Influence of emotionally charged information on category-based induction.
title_short Influence of emotionally charged information on category-based induction.
title_full Influence of emotionally charged information on category-based induction.
title_fullStr Influence of emotionally charged information on category-based induction.
title_full_unstemmed Influence of emotionally charged information on category-based induction.
title_sort influence of emotionally charged information on category-based induction.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description Categories help us make predictions, or inductions, about new objects. However, we cannot always be certain that a novel object belongs to the category we are using to make predictions. In such cases, people should use multiple categories to make inductions. Past research finds that people often use only the most likely category to make inductions, even if it is not certain. In two experiments, subjects read stories and answered questions about items whose categorization was uncertain. In Experiment 1, the less likely category was either emotionally neutral or dangerous (emotionally charged or likely to pose a threat). Subjects used multiple categories in induction when one of the categories was dangerous but not when they were all neutral. In Experiment 2, the most likely category was dangerous. Here, people used multiple categories, but there was also an effect of avoidance, in which people denied that dangerous categories were the most likely. The attention-grabbing power of dangerous categories may be balanced by a higher-level strategy to reject them.
url http://europepmc.org/articles/PMC3553127?pdf=render
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AT gregorylmurphy influenceofemotionallychargedinformationoncategorybasedinduction
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