Abstract:It is generally assumed that dogs show increased attention towards humans. A major part of this includes attention towards visual cues such as bodily gestures. We tested empirically whether dogs are visually attentive towards human body movement. Based on methods from visual perception research in humans, we used point-light figures (PLFs) to investigate whether dogs attend to human body movement compared to other forms of motion. We investigated dogs' attentiveness towards vocalisation-paired PLFs by adopting… Show more
“…Moreover, research has concentrated on how dogs perceive facial emotion cues, due to the face being crucial in human–human interactions, but little is known about what cues are important from the dog’s perspective. Dogs communicate much more with their bodies (e.g., play bow, Bekoff 1977 ; Byosiere et al 2016 ; Horowitz 2009 ), and there is evidence that full body motion is significant for dogs (Delanoeije et al 2020 ; Eatherington et al 2019 ; Ishikawa et al 2018 ; Kovács et al 2016 ). Even though humans still communicate a lot of emotion information with their bodies (e.g., Martinez et al 2016 ), faces with emotional cues are more important or informative for humans than for dogs (e.g., Correia-Caeiro et al 2021 ).…”
Section: What Are the Limitations And Challenges To Investigate The P...mentioning
Comparative studies of human–dog cognition have grown exponentially since the 2000’s, but the focus on how dogs look at us (as well as other dogs) as social partners is a more recent phenomenon despite its importance to human–dog interactions. Here, we briefly summarise the current state of research in visual perception of emotion cues in dogs and why this area is important; we then critically review its most commonly used methods, by discussing conceptual and methodological challenges and associated limitations in depth; finally, we suggest some possible solutions and recommend best practice for future research. Typically, most studies in this field have concentrated on facial emotional cues, with full body information rarely considered. There are many challenges in the way studies are conceptually designed (e.g., use of non-naturalistic stimuli) and the way researchers incorporate biases (e.g., anthropomorphism) into experimental designs, which may lead to problematic conclusions. However, technological and scientific advances offer the opportunity to gather much more valid, objective, and systematic data in this rapidly expanding field of study. Solving conceptual and methodological challenges in the field of emotion perception research in dogs will not only be beneficial in improving research in dog–human interactions, but also within the comparative psychology area, in which dogs are an important model species to study evolutionary processes.
“…Moreover, research has concentrated on how dogs perceive facial emotion cues, due to the face being crucial in human–human interactions, but little is known about what cues are important from the dog’s perspective. Dogs communicate much more with their bodies (e.g., play bow, Bekoff 1977 ; Byosiere et al 2016 ; Horowitz 2009 ), and there is evidence that full body motion is significant for dogs (Delanoeije et al 2020 ; Eatherington et al 2019 ; Ishikawa et al 2018 ; Kovács et al 2016 ). Even though humans still communicate a lot of emotion information with their bodies (e.g., Martinez et al 2016 ), faces with emotional cues are more important or informative for humans than for dogs (e.g., Correia-Caeiro et al 2021 ).…”
Section: What Are the Limitations And Challenges To Investigate The P...mentioning
Comparative studies of human–dog cognition have grown exponentially since the 2000’s, but the focus on how dogs look at us (as well as other dogs) as social partners is a more recent phenomenon despite its importance to human–dog interactions. Here, we briefly summarise the current state of research in visual perception of emotion cues in dogs and why this area is important; we then critically review its most commonly used methods, by discussing conceptual and methodological challenges and associated limitations in depth; finally, we suggest some possible solutions and recommend best practice for future research. Typically, most studies in this field have concentrated on facial emotional cues, with full body information rarely considered. There are many challenges in the way studies are conceptually designed (e.g., use of non-naturalistic stimuli) and the way researchers incorporate biases (e.g., anthropomorphism) into experimental designs, which may lead to problematic conclusions. However, technological and scientific advances offer the opportunity to gather much more valid, objective, and systematic data in this rapidly expanding field of study. Solving conceptual and methodological challenges in the field of emotion perception research in dogs will not only be beneficial in improving research in dog–human interactions, but also within the comparative psychology area, in which dogs are an important model species to study evolutionary processes.
“…In clinical applications, action recognition has been widely utilized in stroke rehabilitation using dynamical analysis of motion ( Venkataraman et al, 2013 ) and in assessing parkinsonism severity through gait-based characteristic recognition ( Ricciardi et al, 2019 ). Studies on action recognition in non-human animals were first applied in pigeons ( Dittrich & Lea, 1993 ), cats ( Blake, 1993 ), and dogs ( Delanoeije et al, 2020 ). Monkeys boast a greater range of motor behaviors compared to other experimental animals, as each of their body joints exhibits multiple degrees of freedom, enabling the production of a diverse array of postures.…”
Video-based action recognition is becoming a vital tool in clinical research and neuroscientific study for disorder detection and prediction. However, action recognition currently used in non-human primate (NHP) research relies heavily on intense manual labor and lacks standardized assessment. In this work, we established two standard benchmark datasets of NHPs in the laboratory: MonkeyinLab (MiL), which includes 13 categories of actions and postures, and MiL2D, which includes sequences of two-dimensional (2D) skeleton features. Furthermore, based on recent methodological advances in deep learning and skeleton visualization, we introduced the MonkeyMonitorKit (MonKit) toolbox for automatic action recognition, posture estimation, and identification of fine motor activity in monkeys. Using the datasets and MonKit, we evaluated the daily behaviors of wild-type cynomolgus monkeys within their home cages and experimental environments and compared these observations with the behaviors exhibited by cynomolgus monkeys possessing mutations in the
MECP2
gene as a disease model of Rett syndrome (RTT). MonKit was used to assess motor function, stereotyped behaviors, and depressive phenotypes, with the outcomes compared with human manual detection. MonKit established consistent criteria for identifying behavior in NHPs with high accuracy and efficiency, thus providing a novel and comprehensive tool for assessing phenotypic behavior in monkeys.
“…Only recently some studies have started to look into this topic, exploring some basic sensory features of dogs' motion perception, such as the detection of coherent motion (Kanizsár et al 2017(Kanizsár et al , 2018 and the minimum detectable velocity (Lõoke et al 2020). Other researchers have focused on dogs' perception of biological motion, suggesting that dogs are sensitive to it (Delanoeije et al 2020;Eatherington et al 2019;Kovács et al 2016), although with peculiarities with regards to which features are relevant in determining dogs' attention to biological motion (Eatherington et al 2021). Two recent studies have also looked into dogs´ ability to track moving objects (Völter et al 2020;Völter and Huber 2021a).…”
Visually tracking a moving object, even if it becomes temporarily invisible, is an important skill for animals living in complex environments. However, this ability has not been widely explored in dogs. To address this gap of knowledge and understand how experience contributes to such ability, we conducted two experiments using a violation of expectation paradigm. Dogs were shown an animation of a ball moving horizontally across a screen, passing behind an occluder, and reappearing with a timing that was faster, slower or congruent with its initial speed. In the first experiment, dogs (N = 15) were exposed to the incongruent conditions without prior experience; while in the second experiment, dogs (N = 37) were preliminarily exposed to the congruent stimulus. Dogs of the first experiment did not exhibit a surprise effect, as measured by latency to look away from the expected stimulus presentation area, in response to the incongruent conditions, suggesting they had not formed an expectation about the timing of reappearance. However, their latency to orient towards the reappearing ball depended on the condition, suggesting they were able, to some extent, to visually keep track of the stimulus’ trajectory. Dogs of the second experiment were surprised when the ball stayed behind the occluder longer than expected, but showed no difference in latency to orient across conditions. This suggests they had overcome the visual tracking mechanism and had formed expectations about the timing of reappearance. In conclusion, dogs seem to use a low-level mechanism to keep visual track of a temporarily disappearing moving object, but experience is required to make expectation about its trajectory.
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