Dogs’ paths during group walks could be used to determine leadership roles and through that their social ranks and personality traits, say researchers from Oxford University, Eötvös University, Budapest and the Hungarian Academy of Sciences (HAS). Using high-resolution GPS harnesses, scientists tracked the movements of six dogs and their owner across fourteen 30-40 minute walks off the lead. The dogs’ movements were measurably influenced by underlying social hierarchies and personality differences. ‘We showed that it is possible to determine the social ranking and personality traits of each dog from their GPS movement data,’ said study author Dr Máté Nagy of Oxford University’s Department of Zoology, formerly of Eötvös University and HAS. ‘On individual walks it is hard to identify one permanent leader, but over longer timescales it soon becomes clear that some dogs are followed by peers more often than others. Overall, the collective motion of the pack is strongly influenced by an underlying social network.’ The study, published in PLOS Computational Biology, demonstrates the power of path tracking to measure social behaviour and automatically determine dogs’ personalities. In future, one possible use of the technology would be to assess search and rescue dogs to see which dogs work best together. As dogs are ideal models of human behaviour, the same methods could be used to study social interactions in humans such as parents walking with their children.
The study is part of the European Research Council project COLLMOT led by Professor Tamás Vicsek (Eötvös University and HAS) which aims to understand the collective motion a wide variety of different organisms in nature. How dogs behave during walks reveals a lot about traits such as trainability, controllability, aggression, age and dominance. Dogs that consistently took the lead were more responsive to training, more controllable, older and more aggressive than the dogs that tended to follow. Dogs that led more often had higher dominance ranks in everyday situations, assessed by a dominance questionnaire. ‘The dominance questionnaire tells us the pecking order of dog groups by quantifying interactions between pairs,’ said Dr Enikő Kubinyi, senior author of the study from the Hungarian Academy of Sciences. ‘For example, the dogs that bark first and more when strangers enter the house, eat first at meals and wins fights are judged as more dominant. Conversely, dogs that lick other dogs’ mouths more often are less dominant as this is a submissive display.’ Pack leadership is well-established in wolves, where packs are typically led by a single breeding pair, but there is still much debate as to whether groups of domestic dogs have a social hierarchy.
‘These dogs have no breeding pair,’ said Dr Kubinyi. ‘However, there are dogs who take the lead more often than others. On average, an individual took the role of the leader in a given pair in about three quarters of the time. This ratio is of similar magnitude to the case of wild wolf packs with several breeding individuals. Using this qualitative data over longer time scales allows us to see the more subtle relationships that might otherwise be missed. Of course, hierarchies are likely to vary across breeds and individual groups, so we hope to use this technology on other animals in future to investigate further.’ The dogs used in this study were of the Vizsla breed, a Hungarian hunting dog known for their good-natured temperament and trainability. It is interesting to note that the leader-follower relationships were always voluntary; dogs chose who to follow and the leaders did not compel other dogs to follow them. The technology used in the study could be applied to other dogs used for search and rescue to provide quantitative data allowing handlers to compare how different dogs work together and pick those with the highest compatibility. Each device weighs only 14 grams and further sensors such as gyroscopes could be used to determine what each animal is doing at a given time.
http://www.sciencedaily.com/ Science Daily
February 18, 2014
http://www.sciencedaily.com/releases/2014/01/140123222045.htm Original web page at Science Daily