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Human Ability to Recognize Dogs' (Ca...

Bloom, Tina.

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Human Ability to Recognize Dogs' (Canis familiaris) Facial Expressions: From Cross Cultural to Cross Species Research on the Universality of Emotions.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Human Ability to Recognize Dogs' (Canis familiaris) Facial Expressions: From Cross Cultural to Cross Species Research on the Universality of Emotions./
Author:	Bloom, Tina.
Description:	299 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7705.
Contained By:	Dissertation Abstracts International72-12B.
Subject:	Cognitive psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3469598
ISBN:	9781124856933

Human Ability to Recognize Dogs' (Canis familiaris) Facial Expressions: From Cross Cultural to Cross Species Research on the Universality of Emotions.
Bloom, Tina.

Human Ability to Recognize Dogs' (Canis familiaris) Facial Expressions: From Cross Cultural to Cross Species Research on the Universality of Emotions. - 299 p.

Source: Dissertation Abstracts International, Volume: 72-12, Section: B, page: 7705.

Thesis (Ph.D.)--Walden University, 2011.

In addition to being companion animals, dogs are used to detect disease, pests, drugs, explosives, and other things humans, and even advanced technology, cannot detect. Despite so much interaction of our two species, no studies could be found examining humans' ability to identify dogs' visual communicative signals. The purpose of this study was to extend Ekman's work on the identification of human emotional facial expressions across species by examining human ability to accurately identify dogs' emotions. Research questions examined whether expert, experienced non-expert, and inexperienced humans' performance in identifying dog's emotions could be found. Three expert, 25 experienced non-expert, and 25 inexperienced participants viewed photographs of one dog's face under seven behaviorally defined conditions that corresponded to expected emotional states. Expert agreement was found to be significant for all conditions, using Kendal's coefficient. Using Friedman's analysis of variance and Wilcoxon follow-up tests, it was found that humans could identify anger and happiness during behaviorally defined situations in dogs most of the time, although experience with dogs unexpectedly deteriorated identification in the angry condition. Identification of sadness and fear was, although above random expectations, below 50% correct. Confusion matrices display ways to understand participants' errors. Social change implications include public policy support of accommodations for dogs during relocation and evacuation scenarios, the use of dogs in therapeutic settings, the reduction of dog bites and attacks, and improved detector dog handling, which can advance human ability to use dogs in forensic, military, medical, and pest-control settings.

ISBN: 9781124856933

LCCN: AAI3469598Subjects--Topical Terms:

523881
Cognitive psychology.

Human Ability to Recognize Dogs' (Canis familiaris) Facial Expressions: From Cross Cultural to Cross Species Research on the Universality of Emotions.
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502 $a Thesis (Ph.D.)--Walden University, 2011.
520 $a In addition to being companion animals, dogs are used to detect disease, pests, drugs, explosives, and other things humans, and even advanced technology, cannot detect. Despite so much interaction of our two species, no studies could be found examining humans' ability to identify dogs' visual communicative signals. The purpose of this study was to extend Ekman's work on the identification of human emotional facial expressions across species by examining human ability to accurately identify dogs' emotions. Research questions examined whether expert, experienced non-expert, and inexperienced humans' performance in identifying dog's emotions could be found. Three expert, 25 experienced non-expert, and 25 inexperienced participants viewed photographs of one dog's face under seven behaviorally defined conditions that corresponded to expected emotional states. Expert agreement was found to be significant for all conditions, using Kendal's coefficient. Using Friedman's analysis of variance and Wilcoxon follow-up tests, it was found that humans could identify anger and happiness during behaviorally defined situations in dogs most of the time, although experience with dogs unexpectedly deteriorated identification in the angry condition. Identification of sadness and fear was, although above random expectations, below 50% correct. Confusion matrices display ways to understand participants' errors. Social change implications include public policy support of accommodations for dogs during relocation and evacuation scenarios, the use of dogs in therapeutic settings, the reduction of dog bites and attacks, and improved detector dog handling, which can advance human ability to use dogs in forensic, military, medical, and pest-control settings.
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