Literature DB >> 21861109

Dogs do look at images: eye tracking in canine cognition research.

Sanni Somppi1, Heini Törnqvist, Laura Hänninen, Christina Krause, Outi Vainio.   

Abstract

Despite intense research on the visual communication of domestic dogs, their cognitive capacities have not yet been explored by eye tracking. The aim of the current study was to expand knowledge on the visual cognition of dogs using contact-free eye movement tracking under conditions where social cueing and associative learning were ruled out. We examined whether dogs spontaneously look at actual objects within pictures and can differentiate between pictures according to their novelty or categorical information content. Eye movements of six domestic dogs were tracked during presentation of digital color images of human faces, dog faces, toys, and alphabetic characters. We found that dogs focused their attention on the informative regions of the images without any task-specific pre-training and their gazing behavior depended on the image category. Dogs preferred the facial images of conspecifics over other categories and fixated on a familiar image longer than on novel stimuli regardless of the category. Dogs' attraction to conspecifics over human faces and inanimate objects might reflect their natural interest, but further studies are needed to establish whether dogs possess picture object recognition. Contact-free eye movement tracking is a promising method for the broader exploration of processes underlying special socio-cognitive skills in dogs previously found in behavioral studies.

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Year:  2011        PMID: 21861109     DOI: 10.1007/s10071-011-0442-1

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  25 in total

Review 1.  What do dogs (Canis familiaris) see? A review of vision in dogs and implications for cognition research.

Authors:  Sarah-Elizabeth Byosiere; Philippe A Chouinard; Tiffani J Howell; Pauleen C Bennett
Journal:  Psychon Bull Rev       Date:  2018-10

2.  How to improve data quality in dog eye tracking.

Authors:  Soon Young Park; Kenneth Holmqvist; Diederick C Niehorster; Ludwig Huber; Zsófia Virányi
Journal:  Behav Res Methods       Date:  2022-06-09

3.  Horses form cross-modal representations of adults and children.

Authors:  Plotine Jardat; Monamie Ringhofer; Shinya Yamamoto; Chloé Gouyet; Rachel Degrande; Céline Parias; Fabrice Reigner; Ludovic Calandreau; Léa Lansade
Journal:  Anim Cogn       Date:  2022-08-13       Impact factor: 2.899

4.  Head-mounted mobile eye-tracking in the domestic dog: A new method.

Authors:  Madeline H Pelgrim; Julia Espinosa; Daphna Buchsbaum
Journal:  Behav Res Methods       Date:  2022-07-05

5.  Sex, skull length, breed, and age predict how dogs look at faces of humans and conspecifics.

Authors:  Zsófia Bognár; Ivaylo B Iotchev; Enikő Kubinyi
Journal:  Anim Cogn       Date:  2018-04-17       Impact factor: 3.084

6.  Reactivity of dogs' brain oscillations to visual stimuli measured with non-invasive electroencephalography.

Authors:  Miiamaaria V Kujala; Heini Törnqvist; Sanni Somppi; Laura Hänninen; Christina M Krause; Outi Vainio; Jan Kujala
Journal:  PLoS One       Date:  2013-05-01       Impact factor: 3.240

7.  Head-mounted eye tracking of a chimpanzee under naturalistic conditions.

Authors:  Fumihiro Kano; Masaki Tomonaga
Journal:  PLoS One       Date:  2013-03-27       Impact factor: 3.240

8.  Comparison of dogs and humans in visual scanning of social interaction.

Authors:  Heini Törnqvist; Sanni Somppi; Aija Koskela; Christina M Krause; Outi Vainio; Miiamaaria V Kujala
Journal:  R Soc Open Sci       Date:  2015-09-30       Impact factor: 2.963

9.  Wolves are better imitators of conspecifics than dogs.

Authors:  Friederike Range; Zsófia Virányi
Journal:  PLoS One       Date:  2014-01-29       Impact factor: 3.240

10.  Part-based and configural processing of owner's face in dogs.

Authors:  Elisa Pitteri; Paolo Mongillo; Paolo Carnier; Lieta Marinelli; Ludwig Huber
Journal:  PLoS One       Date:  2014-09-24       Impact factor: 3.240

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