Evaluating Dogs’ Real-World Visual Environment and Attention

IF 2.4 2区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
Madeline H. Pelgrim, Shreyas Sundara Raman, Thomas Serre, Daphna Buchsbaum
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Abstract

Dogs have a unique evolutionary relationship with humans, yet little is known about the visual information available to them or how they direct their visual attention within their environment. The present study, inspired by comparable work in infants, classified the items available to be gazed at by dogs during a common daily event, a walk. We then explored the statistics over the availability of those categories and over the dogs’ visual attention. Using a head-mounted eye-tracking apparatus that was custom-designed for dogs, 11 dogs walked on a predetermined route outdoors under naturalistic conditions generating a total of 11,698 gazes for analysis. Image stills from these fixations were analyzed using computer vision techniques to explore the items present, the space within the visual field those items occupied, and which of the items the dog was gazing at. On average, dogs looked proportionally most at buses, plants, people, the pavement, and construction equipment; however, there were significant individual differences. The results of this project provide a foundational step toward understanding how dogs look at and interact with their physical world, opening up avenues for future research into how they learn and make decisions, both independently and with a human social partner.

评估狗的真实世界的视觉环境和注意力
狗与人类有着独特的进化关系,但人们对它们可以获得的视觉信息以及它们如何在环境中引导视觉注意力知之甚少。目前的研究受到了对婴儿的类似研究的启发,将狗在日常活动(散步)中可以凝视的物体分类。然后,我们研究了这些类别的可用性和狗的视觉注意力的统计数据。使用一种专门为狗设计的头戴式眼球追踪设备,11只狗在自然条件下沿着预定的户外路线行走,总共产生11,698个注视点用于分析。使用计算机视觉技术分析这些注视的图像,以探索存在的物品,这些物品在视野内占据的空间,以及狗正在凝视的物品。平均而言,狗狗看公共汽车、植物、人、人行道和建筑设备的比例最高;然而,存在显著的个体差异。这个项目的结果为理解狗是如何看待他们的物理世界并与之互动提供了一个基础步骤,为未来研究狗是如何学习和做出决定的开辟了道路,无论是独立的还是与人类社会伙伴的。
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来源期刊
Cognitive Science
Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.10
自引率
8.00%
发文量
139
期刊介绍: Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
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