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  5. The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected
 
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The Unexpected Unexpected and the Expected Unexpected: How People's Conception of the Unexpected is Not That Unexpected

Author(s)
Quinn, Molly  
Campbell, Katherine  
Keane, Mark T.  
Uri
http://hdl.handle.net/10197/11073
Date Issued
2019-07-27
Date Available
2019-09-11T08:35:07Z
Abstract
The answers people give when asked to “think of the unexpected” for everyday event scenarios appear to be more expected than unexpected. There are expected unexpected outcomes that closely adhere to the given information in ascenario, based on familiar disruptions and common plan-failures.There are also unexpected unexpected outcomesthat are more inventive, that depart from given information, adding new concepts/actions. However, people seem to tend to conceive of the unexpected as the former more than the latter. Study 1 tests these proposals by analysing the object-concepts people mention in their reports of the unexpected and the agreement between their answers. Study 2 shows that object-choices are weakly influenced by recency, that is, the order of sentences in the scenario. The implications of these results for ideas in philosophy, psychology and computing are discussed.
Sponsorship
Department of Agriculture, Food and the Marine
Science Foundation Ireland
University College Dublin
Other Sponsorship
Insight Research Centre
School of Computer Science, University College Dublin
Type of Material
Conference Publication
Subjects

Expectation

Explanation

Cognitive

Judgements

Web versions
https://cognitivesciencesociety.org/cogsci-2019/
Language
English
Status of Item
Peer reviewed
Conference Details
The 41st Annual Conference of the Cognitive Science Society (COGSCi'19), Montreal, Canada, 24-27 July 2019
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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insight_publication.pdf

Size

373 KB

Format

Adobe PDF

Checksum (MD5)

be485d1ef75e0ec90861a82a8622bd43

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

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