Maguire, Rebecca and Costello, Fintan and Keane, Mark T.
(2006)
A Cognitive Model of Surprise Judgements.
Proceedings of the Annual Meeting of the Cognitive Science Society, 28.
pp. 531-536.
ISSN 1069-7977
Abstract
In this paper we outline a cognitive theory and model of
surprise judgements which aims to explain how and why
some events are considered to be surprising in a piece of text ,
while others are not. The model is based on a series of
experiments carried out by Grimes-Maguire and Keane
(2005a), which show that subtle changes in the predictability
of a discourse can have a profound effect on a reader’s
perceived surprise at certain events. Rather than defining
surprise in terms of expectation, we conceive of it as a
process involving Representation-Fit. We have implemented
this theory in a computational model that has two stages: the
Integration stage entails building a coherent representation of
the scenario by means of an objective knowledge base rooted
in WordNet. The Analysis stage then outputs a surprise rating
for a specified event, based on the degree to which that event
can be supported by the prior representation. Simulations
reveal a strong correspondence between model and participant
generated surprise ratings.
| Item Type: |
Article
|
| Additional Information: |
Cite as: Costello, F., Keane, M. T, & Maguire, R. (2006). A Cognitive Model of Surprise Judgments. Proceedings of the Annual Meeting of the Cognitive Science Society, 28. Retrieved from https://escholarship.org/uc/item/4zv1z80z |
| Keywords: |
Surprise; cognitive modelling; representation; |
| Academic Unit: |
Faculty of Science and Engineering > Psychology |
| Item ID: |
12639 |
| Depositing User: |
Rebecca Maguire
|
| Date Deposited: |
20 Mar 2020 15:32 |
| Journal or Publication Title: |
Proceedings of the Annual Meeting of the Cognitive Science Society |
| Publisher: |
Cognitive Science Society |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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