Brief Report: Don’t Kiss a Sleeping Dog: The First Assessment of “The Blue Dog” Bite Prevention Program

Meints, Kerstin; Keuster, Tiny De

doi:10.1093/jpepsy/jsp053

Cited by 81 publications

(73 citation statements)

References 20 publications

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“…We assume that by using a panoramic head-camera we can improve these success rates. However, in another study (Meints & Keuster, 2009) it was also found that similarly to our results, participants (in that case children), intermixed the canine emotional expressions of joy and anger. Recent results about autistic children's recognition of robot emotions show that while in case of some emotions (e.g.…”

Section: Discussionsupporting

confidence: 89%

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Gácsi

Kis

Faragó

et al. 2016

Computers in Human Behavior

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In social robotics it has been a crucial issue to determine the minimal set of relevant behaviour actions that humans interpret as social competencies. As a potential alternative of mimicking human abilities, it has been proposed to use a non-human animal, the dog as a natural model for developing simple, non-linguistic emotional expressions for non-humanoid social robots. In the present study human participants were presented with short video sequences in which a PeopleBot robot and a dog displayed behaviours that corresponded to five emotional states (joy, fear, anger, sadness, and neutral) in a neutral environment. The actions of the robot were developed on the basis of dog expressive behaviours that had been described in previous studies of dog-human interactions. In their answers to open-ended questions, participants spontaneously attributed emotional states to both the robot and the dog.They could also successfully match all dog videos and all robot videos with the correct emotional state. We conclude that our bottom up approach (starting from a simpler animal signalling system, rather than decomposing complex human signalling systems) can be used as a promising model for developing believable and easily recognisable emotional displays for non-humanoid social robots. Highlights:Humans spontaneously attribute emotions to an ethologically inspired robot 2 Dog emotional videos prime the attribution of emotions to robot videos Participants were able to match both dog and robot videos to the corresponding emotions Experience with dogs does not help identify dog and robot emotions

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Section: Discussionsupporting

confidence: 89%

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Gácsi

Kis

Faragó

et al. 2016

Computers in Human Behavior

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“…Programmes designed for use by children primarily covered pedestrian safety,24 25 30 32 34–36 38–40 fire safety24 29 37 or dog-bite prevention27 28 33 and included seven software programmes,24–31 two internet programmes,32 33 and five programmes using virtual-reality settings 34–40. All four kiosk programmes42–47 targeted parents of young children in clinical settings and covered multiple injury topics (table 1).…”

Section: Resultsmentioning

confidence: 99%

A systematic review of technology-based interventions for unintentional injury prevention education and behaviour change

et al. 2016

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“…The most recent study evaluated a CD-based resource featuring cartoon characters designed to engage children and parents in learning about dog safety outside a classroom context (Meints & Keuster, 2009). Unlike the other studies (but consistent with ours), it began by establishing a baseline of children's untrained reactions to depicted scenarios.…”

Section: Educational Interventionsmentioning

confidence: 85%

“…Digital technologies and the internet have recently begun to be used in the delivery of dog safety education. The American Veterinary Medical Association has produced the 'Blue Dog' CD rom with parent guide and has a set of short videos accessible from its website (Meints & Keuster, 2009).…”

Section: Educational Interventionsmentioning

confidence: 99%

Advising the Alien: Investigating Young Children's Learning of Dog Safety Messages

2012

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The purpose of this study was to evaluate the impact of a dog safety program on the protective behaviour knowledge of children in the first year of school. This mixed methods study utilised pre-and post-testing (N = 121), observation of six sessions and individual interviews with a sub-group of children (N = 49). These interviews utilised a co-constructed narrative strategy where children were invited to assist an imaginary alien to safely navigate hypothetical safety scenarios. All schools improved their knowledge of safe dog interactions, with an overall increase in knowledge of 18%. Most children were able to apply abstract knowledge to hypothetical scenarios involving accompanied and unaccompanied dogs. Of concern, 24% of children still believed that dogs liked being patted on their heads and 16% of children had not overcome their intuitive reaction to run from a threatening dog. Whilst the program has made significant improvements to children's knowledge of safe dog-interactions, more gains can be made. We identify important opportunities for improving dog safety programs in general. We comment on the need to consider the impact of different models of child-dog relations in terms of either similitude or difference.

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Brief Report: Don’t Kiss a Sleeping Dog: The First Assessment of “The Blue Dog” Bite Prevention Program

Abstract: Children learned successfully about safe behavior with dogs; thus, the CD can help educate children about dog-bite prevention.

Cited by 81 publications

References 20 publications

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

A systematic review of technology-based interventions for unintentional injury prevention education and behaviour change

Advising the Alien: Investigating Young Children's Learning of Dog Safety Messages

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