Literature DB >> 21424879

Evil geniuses: inferences derived from evidence and preferences.

Michael C Mensink1, David N Rapp.   

Abstract

Readers rely on descriptions of characters to generate expectations for future story events. However, readers also have preferences for how they want those events to unfold. Often, what texts imply about how characters will behave and what readers want characters to do converge on similar story events and narrative descriptions. But what are the processing consequences when expectations and preferences suggest competing possibilities? In three experiments, we explored this question utilizing short narrative texts. Each text included information designed to establish positive, negative, or neutral preferences toward characters, as well as behavioral descriptions that supported particular positive or negative character traits. In Experiments 1 and 2, when the valences of reader preferences and implied traits matched, participants overwhelmingly judged characters as likely to possess those traits. With mismatches, though, those judged likelihoods decreased in systematic ways. In Experiment 3, we observed that matches between preferences and implied traits also influenced reading times for story outcomes. These results outline how the inferences that guide narrative comprehension are influenced both by the descriptions that authors provide about characters and events, as well as by the emerging desires that readers develop for those characters and events.

Entities:  

Mesh:

Year:  2011        PMID: 21424879     DOI: 10.3758/s13421-011-0081-4

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  13 in total

1.  Character profiles and the activation of predictive inferences.

Authors:  Kelly A Peracchi; Edward J O'Brien
Journal:  Mem Cognit       Date:  2004-10

2.  Revising what readers know: updating text representations during narrative comprehension.

Authors:  David N Rapp; Panayiota Kendeou
Journal:  Mem Cognit       Date:  2007-12

3.  Updating a situation model: a memory-based text processing view.

Authors:  E J O'Brien; M L Rizzella; J E Albrecht; J G Halleran
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1998-09       Impact factor: 3.051

Review 4.  Situation models in language comprehension and memory.

Authors:  R A Zwaan; G A Radvansky
Journal:  Psychol Bull       Date:  1998-03       Impact factor: 17.737

5.  Knowledge Activation Versus Sentence Mapping when Representing Fictional Characters' Emotional States.

Authors:  Morton Ann Gernsbacher; Rachel R W Robertson
Journal:  Lang Cogn Process       Date:  1992

6.  How Automatically Do Readers Infer Fictional Characters' Emotional States?

Authors:  Morton Ann Gernsbacher; Brenda M Hallada; Rachel R W Robertson
Journal:  Sci Stud Read       Date:  1998-07

7.  Do Readers Mentally Represent Characters' Emotional States?

Authors:  Morton Ann Gernsbacher; H Hill Goldsmith; Rachel R W Robertson
Journal:  Cogn Emot       Date:  1992

8.  Readers' reliance on source credibility in the service of comprehension.

Authors:  Jesse R Sparks; David N Rapp
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-01       Impact factor: 3.051

9.  How valence affects language processing: Negativity bias and mood congruence in narrative comprehension.

Authors:  Giovanna Egidi; Richard J Gerrig
Journal:  Mem Cognit       Date:  2009-07

10.  Readers' reality-driven and plot-driven analyses in narrative comprehension.

Authors:  David N Rapp; Richard J Gerrig
Journal:  Mem Cognit       Date:  2002-07
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