Investigating canine personality structure using owner questionnaires measuring pet dog behaviour and personality

An artificial intelligence approach to predicting personality types in dogs

Canine personality and behavioural characteristics have a significant influence on relationships between domestic dogs and humans as well as determining the suitability of dogs for specific working roles. As a result, many researchers have attempted to develop reliable personality assessment tools for dogs. Most previous work has analysed dogs' behavioural patterns collected via questionnaires using traditional statistical analytic approaches. Artificial Intelligence has been widely and successfully used for predicting human personality types. However, similar approaches have not been applied to data on canine personality. In this research, machine learning techniques were applied to the classification of canine personality types using behavioural data derived from the C-BARQ project. As the dataset was not labelled, in the first step, an unsupervised learning approach was adopted and K-Means algorithm was used to perform clustering and labelling of the data. Five distinct categories of dogs emerged from the K-Means clustering analysis of behavioural data, corresponding to five different personality types. Feature importance analysis was then conducted to identify the relative importance of each behavioural variable's contribution to each cluster and descriptive labels were generated for each of the personality traits based on these associations. The five personality types identified in this paper were labelled: "Excitable/Hyperattached", "Anxious/Fearful", "Aloof/Predatory", "Reactive/Assertive", and "Calm/Agreeable". Four machine learning models including Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Naïve Bayes, and Decision Tree were implemented to predict the personality traits of dogs based on the labelled data. The performance of the models was evaluated using fivefold cross validation method and the results demonstrated that the Decision Tree model provided the best performance with a substantial accuracy of 99%. The novel AI-based methodology in this research may be useful in the future to enhance the selection and training of dogs for specific working and non-working roles.

Selection Factors Influencing Eventual Owner Satisfaction about Pet Dog Adoption

Personal likes, experience, and deep-rooted interests to satisfy emotional needs such as companionship, affection, empathy, and security are some of the underlying human motivations for acquiring a pet companion. In this study, we asked how long the owner took to decide whether to adopt a dog, who their dog was adopted from, their primary motivation for adoption, a ranking of characteristics considered during the adoption process, and how satisfied they were with the eventual outcome. Participants (n = 933) to this Center for Canine Behavior Studies survey completed an online questionnaire with responses representing 1537 dog/owner pairs. A majority of participants reported satisfaction with at least one of their adopted dogs. Odds of eventual satisfaction are higher for participants who spent less than a week considering an adoption or were seeking a pet to provide companionship and affection. Participants that prioritized personality as an adoption criteria were more likely to be satisfied with their adopted dogs. A mast majority (91%) of participants reported they would consider adopting another dog in the future. Selection criteria rankings that participants indicated they would employ for future adoptions tended to shift away from physical to behavior characteristics when compared to selection criteria priorities of prior adoptions.

Valued personality traits in livestock herding Kelpies—Development and application of a livestock herding dog assessment form

Livestock herding dogs contribute greatly to the rural economy of Australia. However, their selection currently lacks a cohesive or methodical approach. For example, there is no accessible tool for assessing Australian livestock herding dogs’ suitability for work. The purpose of the current study was to devise a herding dog assessment form, the Herding Dog Assessment Form–Personality (HDAF-P), to facilitate collection of data on relevant behavioural phenotypes of large numbers of working Kelpies and to apply the HDAF-P to identify personality traits needed for herding dog performance. The focus was on creating a succinct form that was salient and accessible to livestock herding dog owners. Wherever practical, terms and methods from published personality questionnaires were integrated. Seventeen terms were included as behavioural descriptors in the HDAF-P which was then used by 95 owners to assess a sample of 228 of their working Kelpies. Owners were also asked to rate the overall ability of their dog(s). Of these dogs, 210 (all twelve months or older) were fully described and their data were used in the analysis. Thus, the study was designed to reveal which personality traits are most critical to the overall ability of the herding dogs and to undertake an exploratory analysis of the patterns of dog behaviour revealed by the HDAF-P in non-juvenile dogs. The traits that showed the strongest correlations (using Kendall’s Tau correlation analysis) with overall ability were initiative (T = 0.41, p < 0.001), persistence (T = 0.36, p < 0.001), intelligence (T = 0.32, p < 0.001), confidence (T = 0.36, p < 0.001) and nervousness (T = -0.30, p < 0.001). An exploratory principal component analysis of trait scores revealed that 64.5% of the variance could be explained by four components that share several similarities with those reported by previous dog personality studies. These findings confirm that the HDAF-P has potential for the practical assessment of livestock herding dog personality and can elucidate traits that should be considered for prioritisation in training and breeding to optimise herding dog ability.

An Animal-Assisted Education Intervention with Dogs to Promote Emotion Comprehension in Primary School Children-The Federico II Model of Healthcare Zooanthropology

Emotion comprehension (EC) is a crucial competence for children, as it determines the quality of peer interactions. This study assessed the efficacy of an animal-assisted education (AAE) intervention with dogs based on the Federico II Model of Healthcare Zooanthropology (FMHZ) to promote EC in a group of primary school children. One hundred and four children (48 females) aged 6-7 years took part in the study, of whom 63 participated in the AAE intervention (i.e., experimental group) and 41 did not (i.e., control group). The intervention was deployed in a school setting through a group format and consisted of five bimonthly sessions. EC was assessed pre- and post-intervention, and at a 3-month follow-up. Student's t-test and mixed-model ANOVA were performed to analyze the effect of the intervention on EC. EC significantly improved in children of the experimental group compared to the control group. Significant time effects from pre- to post-intervention, post-intervention to follow-up, and pre-intervention to follow-up assessment were found in the experimental group only. AAE based on FMHZ was effective in improving EC in children.

Reliability and Validity of a Dog Personality and Unwanted Behavior Survey

Dogs have distinct, consistent personalities, but the structure of dog personality is still unclear. Dog personality and unwanted behavior are often studied with behavioral questionnaires. Even though many questionnaires are reliable and valid measures of behavior, all new questionnaire tools should be extensively validated. Here, we examined the structure of personality and six unwanted behavior questionnaire sections: noise sensitivity, fearfulness, aggression, fear of surfaces and heights, separation anxiety and impulsivity/inattention with factor analyses. Personality consisted of seven factors: Insecurity, Training focus, Energy, Aggressiveness/dominance, Human sociability, Dog sociability and Perseverance. Most unwanted behavior sections included only one factor, but the impulsivity/inattention section divided into two factors (Hyperactivity/impulsivity and Inattention) and the aggression section into four factors (Barking, Stranger directed aggression, Owner directed aggression and Dog directed aggression). We also examined the internal consistency, test-retest reliability, inter-rater reliability and convergent validity of the 17 personality and unwanted behavior traits and discovered excellent reliability and validity. Finally, we investigated the discriminant validity of the personality traits, which was good. Our findings indicate that this personality and unwanted behavior questionnaire is a reliable and valid tool that can be used to study personality and behavior extensively.

Where Do We Stand in the Domestic Dog ( Canis familiaris ) Positive-Emotion Assessment: A State-of-the-Art Review and Future Directions

Although there have been a growing number of studies focusing on dog welfare, the research field concerning dog positive-emotion assessment remains mostly unexplored. This paper aims to provide a state-of-the-art review and summary of the scattered and disperse research on dog positive-emotion assessment. The review notably details the current advancement in dog positive-emotion research, what approaches, measures, methods, and techniques have been implemented so far in emotion perception, processing, and response assessment. Moreover, we propose possible future research directions for short-term emotion as well as longer-term emotional states assessment in dogs. The review ends by identifying and addressing some methodological limitations and by pointing out further methodological research needs.

The Human-Animal Relationship as the Focus of Animal-Assisted Interventions: A One Health Approach

BACKGROUND

Animal-assisted intervention (AAIs) represent an adequate expression of integrated medicine, according to the One Health approach. We argue that AAIs are interventions based on interspecific relationships between humans and animals. Although there are many studies on the effects of AAIs on animal and human health and wellbeing, research is still needed to give us more data. For example, information is still lacking on the aspects characterizing and influencing the interspecific relationships occurring in AAIs. The efficacy of an intervention based on interspecific relationships will be influenced by different factors, such as attachment styles and personalities of both the animal and the handler, an appropriate choice of animal species and their individuality, animal educational training techniques, the relationship between the handler and the animal, and relational reciprocity between animal, the patients, and members of the working team.

METHOD

This article aims to contribute to the study of interspecific relationships in AAIs via theoretical considerations. An interspecific relationship determines the result of safe interventions, which directly influences the welfare of the animal. Results and considerations: AAIs should be evaluated systemically as a network within a process in which every component interacts with and influences other components. Standardized methods using appropriate tests and parameters are needed to better select appropriate animals (i.e., species and individual subjects) using interspecific relational competences as well as appropriate educational training methods and health protocols to assess potential risks.

Changes of Oxytocin and Serotonin Values in Dialysis Patients after Animal Assisted Activities (AAAs) with a Dog—A Preliminary Study

Our study aimed to measure the levels of serotonin and oxytocin in patients affected by end-stage renal disease (ESRD), undergoing dialysis and participating in a program of animal-assisted activities (AAAs) with a dog. Ten patients with comparable levels of ESRD were enrolled. A blood sample was taken before the start of the study in order to establish basal levels. Eleven meetings were held once a week for 3 months during the last hour of dialysis, and blood samples were collected before and after AAAs. Two more meetings, one month apart from each other, were held two months later without the dog but with the same veterinarian zootherapist. Blood was drawn at the beginning and at the end of each meeting. The samples were then processed for the measurement of serotonin and oxytocin, and data obtained were analysed using analysis of variance with mixed effect models. The results show an increasing level of both serotonin and oxytocin between subsequent meetings with the dog and an increasing trend of inter-intervention levels. Overall, the results suggest that AAAs lead to modifications of serotonin and oxytocin levels, which are also accompanied by behavioural changes of patients.

Dog rivalry impacts following behavior in a decision-making task involving food

Dogs learn a great deal from humans and other dogs. Previous studies of socially influenced learning between dogs have typically used a highly trained demonstrator dog who is unfamiliar to the observer. Because of this, it is unknown how dynamics between familiar dogs may influence their likelihood of learning from each other. In this study, we tested dogs living together in two-dog households on whether individual dogs' rivalry scores were associated with performance on a local enhancement task. Specifically, we wanted to know whether dog rivalry impacted whether an observer dog would approach a plate from which a demonstrator dog had eaten all available food, or whether the observer dog would approach the adjacent plate that still contained food. Dog rivalry scores were calculated using the Canine Behavioral Assessment and Research Questionnaire and indicated each dog's tendency to engage aggressively with the other household dog. Low-rivalry dogs were more likely to approach the empty plate than high-rivalry dogs when the observer dog was allowed to approach the plates immediately after the demonstrator had moved out of sight. This difference between low- and high-rivalry dogs disappeared, however, when observer dogs had to wait 5 s before approaching the plates. The same pattern was observed during a control condition when a human removed the food from a plate. Compared to low-rivalry dogs, high-rivalry dogs may pay less attention to other dogs due to a low tolerance for having other dogs in close proximity.