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Article

Personalized Strategy for Animal-Assisted Therapy for Individuals Based on the Emotions Induced by the Images of Different Animal Species and Breeds

by
Jovita Luksaite
,
Egle Zokaityte
,
Vytaute Starkute
,
Sonata Sidlauskiene
,
Gintare Zokaityte
and
Elena Bartkiene
*
Institute of Animal Rearing Technologies, Faculty of Animal Sciences, Lithuanian University of Health Sciences, Mickeviciaus Str. 9, LT-44307 Kaunas, Lithuania
*
Author to whom correspondence should be addressed.
Animals 2022, 12(5), 597; https://doi.org/10.3390/ani12050597
Submission received: 22 January 2022 / Revised: 21 February 2022 / Accepted: 25 February 2022 / Published: 27 February 2022
(This article belongs to the Section Human-Animal Interactions, Animal Behaviour and Emotion)
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Abstract

:

Simple Summary

In this study, we hypothesized that the personalized strategies for the animal-assisted therapy (AAT) could be improved by selecting animal species and breeds for individuals (persons) according to the emotions induced in the persons by different animal species and breeds. To our knowledge, this study is the first in the area in which the FaceReader technique has been applied to improve the methodology of AAT, which could be the first step to avoiding and/or minimizing stressful situations during a person’s contact with an animal. To implement the aim, the images of different animal species (dogs, cats, pigs, sheep, and horses) and various breeds of those species were used. This study showed that the animal species is a significant factor in the intensity of the ‘neutral’ and ‘happy’ emotions as well as valence. In addition, animal breed is a significant factor in the intensity of the emotion ‘happy’ and valence. Finally, in this study, we obtained results that could be used as a personalized strategy for improvement of the AAT and to help the individuals select a pet.

Abstract

The aim of this study was to apply the FaceReader technique to select the animal species and breed for a personalized AAT based on the emotions (‘neutral’, ‘happy’, ‘sad’, ‘angry’, ‘surprised’, ‘scared’, ‘disgusted’, and ‘contempt’) induced in the persons (18–64 years old) by the images of different animal species and breeds. To implement the aim, the images of different animal species (Canis familiaris, Felis silvestris catus, Sus scrofa domesticus, Ovis aries, and Equus caballus) and their breeds (dogs: Australian shepherd, pug, Labrador retriever, Doberman, miniature schnauzer, beagle, three mixed-breed types, Yorkshire terrier, Cane Corso, Samoyed, and Chihuahua; cats: British shorthair, Himalayan cat, three mixed breed types, Siamese cat, Sphynx, and Bengal cat; horses: Norwegian Fjord, Exmoor pony, Andalusian, and Friesian; pigs: Vietnamese pot-bellied and Kunekune; sheep: Herdwick sheep and Suffolk sheep) were used. This study showed that the animal species is a significant factor in the intensity of the emotions ‘neutral’ and ‘happy’ as well as valence, and the animal breed is a significant factor for the emotion ‘happy’ intensity and valence. The obtained results could be used as a personalized strategy for improving AAT and helping the individuals to select a pet.

1. Introduction

For many years, humans have known that animals can positively influence human health, but only recently has science begun to investigate the therapeutic effect of animals on individuals with various disorders [1,2]. AAT is the deliberate inclusion of an assisted animal in a treatment plan to realize specific goals [3]. Additionally, AAT, defined as a therapeutic intervention incorporating animals to improve health and wellness, is based on a human–animal interaction that includes the emotional, psychological, and physical interactions of people, animals, and the environment [4,5,6,7,8].
AAT is highly beneficial to human mental health as it can reduce anxiety, increase a sense of connection to a living being, reduce loneliness, and develop a variety of skills [3,9,10,11]. AAT is also used to minimize autistic spectrum symptoms [12]; improve medical conditions [13], including mental functioning [14]; reduce emotional difficulties [15]; and avoid undesirable behaviors [16] and physical problems [17].
AAT is implemented by a licensed practitioner [9,18], and, until now, some practical challenges have been associated with the AAT methodology, including the issues of process design [19]. For this reason, there is an increasing interest in improving the therapy’s efficacy through research [2]. One of the main challenges which remain in this area is to establish the conditions under which AAT can be most helpful. The influence of AAT on persons varies in relation with the animal used (e.g., dog, cat, pig, horse, etc.). In addition, the environment in which AAT is performed and the therapy duration are also influencing factors.
The published data of the AAT methodology indicate that research in this area is in its early stage [20]. It is essential to reassess the procedures of the assisted animal selection to update the methodologies in light of the new information about the changes in the role of animals and settings in which they work today [21]. Additionally, animals should be screened carefully for health and temperament [22]. Most of the studies focused on the selection of dogs and horses [21]. In several countries, farms operate as care farms in cooperation with the health authorities [23]. This practice is called Green Care or Farming for Health, a concept that is not restricted to the use of animals but also includes the effects of plants, gardens, forests, and landscapes [24].
In AAT, animals play a central role; for this reason, they have to be monitored to observe stress signals induced by therapeutic sessions [25]. In order to avoid situations in AAT which are stressful to both the person and animal, during the first step, a selection of the most appropriate animal-based images could be used to avoid situations which are stressful for the animal as well.
In this study, we hypothesized that the personalized strategies for AAT could be improved by selecting animal species and breeds for each individual (person), according to their emotions, as induced by different animal species and breeds. To our knowledge, this is the first study in this area in which the FaceReader technique has been applied for the improvement of the AAT methodology, which could be the first step to avoid and/or reduce stressful situations for persons during contact with an animal. In this study, the images of different animal species (dogs (Canis familiaris), cats (Felis silvestris catus), pigs (Sus scrofa domesticus), sheep (Ovis aries), and horses (Equus caballus)) and their breeds (dogs: 1.1. Australian shepherd, 1.2. pug, 1.3. Labrador retriever, 1.4. Doberman, 1.5. the miniature schnauzer, 1.6. beagle, 1.7. mixed breed, 1.8. Yorkshire terrier, 1.9. mixed breed, 1.10. mixed breed, 1.11. Cane Corso, 1.12. Samoyed, and 1.13. Chihuahua; cats: 2.1. mixed breed, 2.2. British shorthair, 2.3. Himalayan cat, 2.4. mixed breed, 2.5. mixed breed, 2.6. Siamese cat, 2.7. Sphynx, and 2.8. Bengal cat; horses: 3.1. Norwegian Fjord, 3.2. Exmoor pony, 3.3. Andalusian, and 3.4. Friesian; pigs: 4.1. Vietnamese pot-bellied and 4.2. Kunekune; and sheep: 5.1. Herdwick sheep and 5.2. Suffolk sheep) were tested.
Dogs are the most commonly used animals in AAT [2]. Their popularity is related to their ease of domestication, access, and training, as well as their specific behavioral characteristics, including affection towards humans, which is higher than that of other animals. Therapy dogs provide health benefits for individuals, read humans’ non-verbal body language, and react/respond to their emotions [26].
In addition to dogs, cats have become a popular companion animal for humans with positive effects on the pet owner’s health [27,28,29,30,31]. It was reported that the factors related to the quality of dog–owner relationships differ from those of cat–owner relationships [32]. From this point of view, the tools used to study the human–animal relationships need to be customized by species [28].
Horses are among the most important domesticated animals, and their number is steadily increasing [33]. Today, horses play an essential role in AAT [34,35,36,37,38,39,40,41,42]. In addition to physical benefits, the proximity to horses positively impacts emotional, social, and mental health [35,43] and increases the quality of the person’s and/or patient’s life [44]. Despite horses demonstrating a therapeutic effect on humans [45,46], it was reported that persons may tend to avoid this therapy because of their fear of horses [39]. From this point of view, as suggested in this study, a personalized strategy can help prevent unnecessary stress for patients before the AAT selection.
In addition to in-house pets and horses, AAT with farm animals has many benefits [23,47,48,49,50]. For example, pigs are incredibly intelligent and sensitive animals, making them good candidates for AAT [51].
During the last decade, the presence of animals in institutional care settings has grown. For this reason, different concepts of animal intervention have been created, so-called animal-assisted interventions (AAI) [52,53]. This strategy includes both AAT and animal-assisted activities (AAA); the latter refers to a general category of interventions without a protocol [53]. Finally, interacting with animals can lead to feelings of safety and comfort and allow individuals to express affection [52,54,55]. However, disgust as well as fear of animals could also cause concerns for individuals [56,57].
The aim of this study was to apply a FaceReader technique in selecting the animal species and breed for a personalized AAT, according to the emotions induced in each person by the images of different species and breeds.

2. Materials and Methods

2.1. Evaluation of the Emotions Induced by Different Animal Species and Breeds in Individuals

The FaceReader technique (Noldus Information Technology, Wageningen, the Netherlands) was used to evaluate possible differences in the human emotions induced by different animal species and breeds. The principal scheme of the experiment is shown in Figure 1. The study tested one group of participants. The demographic data of the studied group are given in Table 1. This study involved 50 participants (not diagnosed with a mental disorder for at least a one-year period) aged between 18 and 64 years, where 82% were females and 18% were males. Most of the participants (66%) held a university degree, and 34% had secondary education. Concerning civil status, 28% of the participants were single, 54% were married or lived together as a marital couple, 14% were separated or legally divorced, and 4% were widowed. Regarding occupation, 4% of the participants were students, 74% were employed, 12% were working students, and 10% were retired. Concerning the participants’ professional activity and/or study field, the majority of the participants (72%) were engaged in the field of education, 4% in health, 2% in law and public policy, 2% in community and social services, and 20% in agriculture.
A FaceReader-6 software was used for the analysis of the participants’ facial expressions. The acceptability of various animal species and breeds was assessed using a 10-point Likert scale from 0 (dislike extremely) to 10 (like extremely).
During the study, the images of different animal species and breeds (images showing the classic characteristics and shape of animals, collected from accessible internet sources) were presented to the person showing the cards one-by-one. Simultaneously, the participant was provided with information about the main character traits of the seen animal species and breed (Supplementary File S1). After seeing each card, the person was asked to rank their likability towards the shown animal on the Likert scale from 0 (dislike extremely) to 10 (like extremely). No timer was used for the session. The procedure was recorded with the Microsoft LifeCam Studio webcam mounted on the laptop and focused on the participant, using Media Recorder software (Noldus Information Technology, Wageningen, the Netherlands). The recordings were analyzed with the mentioned FaceReader-6 software, which recognizes eight basic patterns of human emotions (‘neutral’, ‘happy’, ‘sad’, ‘angry’, ‘surprised’, ‘scared’, ‘disgusted’, and ‘contempt’). The emotion ‘surprised’ can be either positive or negative. ‘Happy’ is the only positive emotion, whereas ‘sad’, ‘angry’, ‘scared’, and ‘disgusted’ are considered negative emotions.
In addition, FaceReader-6 also analyzed the valence, which indicates whether a person’s emotional state is positive or negative. Valence is calculated as the intensity of ‘happy’ minus the intensity of negative emotion with the highest intensity. The tested valence scores ranged from −1 to 1.
For each card, the section of intentional facial expression (precisely from the point when the subject had finished raising the hand to give a signal until the subject started lowering the hand again) was extracted and used for the statistical analysis, in which the facial expression patterns’ maximum values of the respective section were used (Supplementary File S2).

2.2. Statistical Analysis

For investigating the emotions induced by different animal species and breeds, 50 adult subjects were tested. The data were prepared and analyzed using Microsoft Excel (Microsoft Corp., Redmond, WA, USA) and SPSS Version 24 software (SPSS Inc., Chicago, IL, USA). We used a multivariate ANOVA analysis to evaluate the impact of different animal species and breeds on evoked emotions and calculated the Pearson correlations (r) between the intensity of the emotions induced in each individual and the Likert scale results. The strength measured by the Pearson correlation coefficient was interpreted, according to Evans [58]. The statistical differences with p values ≤0.05 and ≤0.01 were considered significant, and, using the Fisher’s least significant difference (LSD) post hoc test, the mean values were compared.

2.3. Ethical Approval

The protocol of this study was approved by the Lithuanian University of Health Sciences (Kaunas, Lithuania) Bioethics Committee (No. BEC-GZS(M)-03). All test participants were informed about the study using a ‘Personal Information Form’. The individuals were included in the study upon their participation agreement and signing an ‘Informed Consent Form’.

3. Results

3.1. Emotions Induced in the Individuals by Different Animal Species

The average intensity values of the emotions induced by different animal species are shown in Figure 2. The highest intensity of the emotion ‘happy’ was evoked when presenting pig images and behavior characteristics (on average, 0.066) to the individuals. Compared with other animal species, pigs induced a higher intensity of the ‘happy’ emotion than cats, dogs, horses, and sheep (51.5%, 24.2%, 75.8%, and 50.0%, respectively). Regarding the emotion ‘sad’ evoked by different animal species, the highest emotion intensity was observed upon seeing the images of dogs (0.063), and the lowest when seeing pig images, i.e., 44.4% lower than the dog image-induced emotion results. All tested animal species induced the emotion ‘angry,’ on average, 0.023, and no significant differences between the intensities of this emotion evoked by different animal species were found. The ‘contempt’ emotion induced by all tested animal species was, on average, 0.005, and no significant differences between the intensities of this emotion, as influenced by different animal species, were found. All tested animal groups evoked the intensity of the emotion ‘surprised,’ on average, 0.01, and there were no significant emotion intensity differences between the groups. Similarly, no significant differences were found between the intensity of the emotion ‘disgusted’ evoked by various animal species—on average, the intensity of ‘contempt’ was 0.012. The highest intensity of the emotion ‘scared’ was observed when seeing the images of sheep, horse, and dog groups (0.020), whereas the cat and pig groups induced, on average, an intensity of the emotion ‘scared’ two times lower.
The percentage of the participants with maximum valence results induced by different animal species is shown in Figure 3. We observed the highest valence results in 22 test participants out of 50 when presenting dog group; in 12 when demonstrating the cat group; in 11 when showing pig group; and in 4 and 1 when seeing the horse and sheep groups, respectively.

3.2. Emotions Induced in the Participants by Different Animal Species and Breeds

The number of participants with the maximum emotion ‘happy’ induced by different animal species and breeds is shown in Figure 4. Dog breeds 1.2. and 1.1. induced the ‘happy’ emotion in 12% and 10% of the participants, respectively. Additionally, dog breed 1.6. induced the maximum of the ‘happy’ emotion in 6% of the participants. Two out of thirteen of the evaluated dog images (1.3. and 1.13.) induced the maximum emotion ‘happy’ intensity in 4% of the participants, and four of the thirteen evaluated dog images (1.4., 1.5., 1.8., and 1.11.) induced the maximum emotion ‘happy’ intensity in 2% of the participants. In comparison, the cat breed 2.1. induced the maximum ‘happy’ emotion in 8% of the total participants. Additionally, breed 2.2. induced the maximum intensity of the ‘happy’ emotion in 6% of the participants, while the breeds 2.7., 2.3., and 2.8. induced the maximum ‘happy’ emotion intensity in 4%, 2%, and 2% of the participants, respectively. Regarding horse breeds, the breed 3.3. induced the maximum ‘happy’ emotion in 4% of the participants, while the breeds 3.1. and 3.2. induced the maximum intensity ‘happy’ emotion in 2% of the participants. Both of the tested pig breed images showed highly positive results, as the breed 4.1. induced the maximum emotion ‘happy’ intensity in 16% of the participants and the breed 4.2. induced the maximum emotion ‘happy’ intensity in 10% of the participants. However, both of the tested sheep images induced a lower intensity of the ‘happy’ emotion, and a maximum intensity by the tested sheep breeds was not observed.
The number of the participants with the maximum valence induced by different animal species and breeds are shown in Figure 5. Dog breeds 1.1. and 1.2. induced maximum valence in 10% of the participants. Breed 1.3. induced the maximum valence in 8% of the participants, breed 1.6. induced it in 6%, and breed 1.13. in 4%. Breeds 1.11., 1.4., and 1.5 induced the maximum valence in 2% of the participants. In comparison, cat breed 2.2. induced the maximum valence in 10% of the participants. Additionally, breed 2.1. induced the maximum valence in 6% of the participants, and the breeds 2.3. and 2.7. induced it in 4%. Only breed 3.3. out of the four horse breeds evaluated in this experiment induced the maximum valence in 8% of the participants. The most positive results were obtained with pig testing. From the two evaluated pig breed images, breed 4.1. induced the maximum valence in 10% of the participants, and breed 4.2. induced it in 12%. Finally, from the two evaluated sheep breed images, only breed 5.2. induced the maximum valence in 2% of the participants.

3.3. Influence of Different Animal Species and Breeds on the Emotions Induced in Individuals

The significance of the analyzed factors (animal species and breed) and their interaction with the emotions induced in individuals are shown in Table 2 (Supplementary File S3). It was found that the animal species is a significant factor on the intensity of the ‘neutral’ and ’happy’ emotions (p = 0.0001) as well as valence (p = 0.006). In addition, the animal breed was a significant factor on the intensity of the ‘happy’ emotion (p = 0.0001) and valence (p = 0.001). However, the interaction of the analyzed factors was not significant in the induced emotions’ intensity or valence.
Pearson correlations between the intensity of the emotions induced in individuals and the Likert scale results are shown in Table 3. Two very weak correlations between the Likert scale results and the emotions induced in the participants by the images of animal species and breeds were found to be significant (between the Likert scale results and the emotions ‘surprised’ and ‘disgusted’, r = −0.084 and r = 0.078, respectively). Weak negative correlations were established between the ‘neutral’ emotion and the emotions of ‘sad’, ‘scared’, and ‘disgusted’ (r = −0.353, p = 0.0001; r = −0.287, p = 0.0001; r = −0.207, p = 0.0001, respectively), as well as between valence and the ‘angry’ and ‘scared’ emotions (r = −0.335, p = 0.0001 and r = −0.224, p = 0.0001, respectively). A moderately negative correlation between the ‘happy’ and ‘neutral’ emotions was established (r = −0.447, p = 0.0001), and a strong positive correlation between the ‘happy’ emotion and valence was found (r = 0.693, p = 0.0001). Alternatively, a strong negative correlation between the ‘sad’ emotion and valence was established (r = −0.693, p = 0.0001). A weak negative correlation was also found between valence and the ‘scared’ emotion (r = −0.224, p = 0.0001).
A personalized selection of animal species and breeds for individuals, according to their induced ‘happy’ emotion and valence, is shown in Table 4. The obtained results showed that in most participants the maximum intensity of the ‘happy’ emotion induced by the images of different animal species and breeds was related to the maximum valence. However, some of the participants’ maximum ‘happy’ emotion and valence were different for different animal species and breeds. Some participants who expressed their maximum ‘happy’ emotion for different breeds of horses (3.1. and 3.2.) showed the maximum valence for dogs and cats (breeds 1.5. and 2.2., respectively). In addition, the individuals who expressed their maximum ‘happy’ emotion for different breeds of dogs (1.2. and 1.8.) showed the maximum valence for pigs and cats (breeds 4.2. and 2.2., respectively). The participants who expressed their maximum ‘happy’ emotion for cats (breed 2.1.) showed the maximum valence for horses (breed 3.3.). Additionally, the participants who expressed their maximum ‘happy’ emotion for pigs (4% of the participants for breed 4.1. and 2% for breed 4.2.) showed the maximum valence for horses (breed 3.3.), dogs (breed 1.3.), and sheep (breed 5.2.). These results showed that the suggested methodology could lead to a personalized animal selection for AAT for the individuals using both their maximum expression of the ‘happy’ emotion and their maximum valence, as they both were associated with a good mood and a comfortable, positive human emotional state.

4. Discussion

Positive emotions, as well as the feelings of happiness, are very important factors for human mental and physical health. Nowadays, the body of scientific studies associated with the compensatory mechanism of positive emotions for persons is growing [59]. It was reported that extroversion and gregariousness are the main factors of a subjective well-being. In addition to being happier, these humans are typically healthier and live longer [60,61]. Happiness is a fundamental emotion, which is described as the presence of positive emotions, life satisfaction, social engagement, and objectives in life [62]. It was also reported that negative emotions come from the specific negative feelings such as fear, anger, and sadness, and positive emotions can be related to the specific positive feelings, i.e., playfulness, nurturance, and exploration-seeking urges [63]. A positive emotional state could be scientifically measured via the self-reported Likert-type rating scales [59]. The ‘happy’ emotion is typically measured by asking the individuals to rate their current level of happiness using either a verbally anchored scale or a pictorial one [64]. Additionally, the ‘happy‘ emotion could be evaluated behaviorally, i.e., by the presence of Duchenne smiling, which has been found to be positively related to a personal subjective self-report on a positive emotion [65]. The Likert scale results could be related with the explicit-controlled emotions, and the FaceReader fixed emotions could be associated with the implicit ones. The three explicit-controlled emotion regulation mechanism—selective attention, distraction, and reappraisal [66]—have been studied the most. Our study showed that between the intensity of the induced emotions and the Likert scale results just two very weak correlations were established (between the Likert scale results and the emotions ‘surprised’ and ‘disgusted’, r = −0.084 and r = 0.078, respectively). However, a very strong positive correlation between the emotion ‘happy’ and valence was found (r = 0.693, p = 0.0001). Despite that, it must be pointed out that the intensity of some emotions induced by the different animal species and breed images also showed correlations, which means that the FaceReader technique can attribute the expression of one emotion to another. However, this study showed that different animal species and breeds induced different emotions in different individuals, and the highest intensity of the emotion ‘happy’ was induced when the images and behavioral characteristics of pigs were presented. In the past, pigs were kept near their owners’ homes, fed with leftovers from their guardians’ kitchens, and enjoyed a generally close relationship with humans [67]. Nowadays, the number of minipigs and Vietnamese potbellied pigs kept as pets has increased over the last few years [68]. It could be explained that pigs are intelligent and sensitive animals. In the United States, pig owners often choose to share their pig with their community schools and nursing homes, just to induce positive emotions in the fundraisers [69]. However, under the Americans With Disabilities Act of 1990 (the federal law which governs the use of service animals), pigs cannot be recognized as service animals [70]. It was published that the mini-pig was found to be similarly effective to companion dogs and, in some cases, even better as it was novel to see and touch a mini-pig [71].
Significant differences between the emotions ‘angry’, ‘contempt’, ‘disgusted’, and ‘surprised’ induced by different animal species and breeds were not established. In addition, by summarizing the emotional profile, the highest number of participants showed the highest valence when the dog group was evaluated, followed by the cat and pig groups. It was reported that the individuals’ valence showed a positive correlation with the success rates for interactions with the pet, especially during training and play interactions [28]. However, the characteristic temperament of a pet may be the key factor to the mechanism underlying the positive health effects gained through pet ownership. These characteristics could be associated with animal breed characteristics. However, there are ‘general‘ skill and capacity requirements for any animal who participates in therapeutic settings [66,72]. Our study showed that maximum valence was induced in a higher number of individuals by cat breed 2.2., dog breed 1.1. and 1.2., horse breed 3.3., and pig breed 4.2. The highest number of participants with the maximum emotion ‘happy’ were induced by cat breed 2.1., dog breed 1.2., horse breed 3.3., and pig breed 4.1. There were some differences between the intensity of the ‘happy’ emotion and the valence expressed by testing different animal groups; this could be explained by ‘happy’ being the only positive emotion and ‘surprised’ being either positive or negative. From this point of view, the calculation of valence can differ. However, this study showed that the animal species is a significant factor for the intensity of the ‘neutral’ and ‘happy’ emotions as well as valence. In addition, the animal breed is a significant factor for the intensity of the ‘happy’ emotion and valence. A personalized selection of animal species and breeds for individuals showed that, in the most participants, the maximum intensity of the ‘happy’ emotion induced by the images of different animal species and breeds was related to their maximum valence. However, some of the participants’ maximum ‘happy’ and valence were different for the different animal species and breeds. Finally, these results showed that the suggested methodology could lead to a personalized animal selection for AAT of the individuals by using both their maximum expression of the emotion ‘happy’ and maximum valence, as they both are associated with a good mood and a comfortable, positive human emotional state.

5. Conclusions

In this study, the obtained results could be used as a personalized strategy to improve AAT by selecting animal species and breeds for the individuals based on the emotions induced by different animal species and breeds. To our knowledge, this is the first study in this area in which the FaceReader technique has been applied to improve the AAT methodology, which could be the first step to avoiding and/or minimizing stressful situations for persons during contact with an animal. Additionally, it should be pointed out that the current animal selection procedures assess the specific behaviors and skills required for the animals to become a part of the therapy. However, some challenges have been associated with the applied practices because animal characteristics and person reactions (emotions) to the different animal breed and species are critical in achieving the most effective applied AAT results. In addition, this methodology could be used for helping the individuals select their pet. Despite the promising results, it should be pointed out that the cards of animal species and breeds should be standardized, and more participants from different groups (age groups, persons with various disorders, etc.) should be involved in order to improve this methodology.

Supplementary Materials

Following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani12050597/s1, File S1: cards of different animal species and breeds; File S2: emotions induced in persons by different animal species and breeds; File S3: multivariate ANOVA results.

Author Contributions

Conceptualization, E.B.; methodology, E.B.; formal analysis, J.L., E.Z., V.S., G.Z., and S.S.; investigation, J.L., E.Z., V.S., and G.Z.; writing—original draft preparation, E.B., J.L., E.Z., V.S., G.Z., and S.S.; writing—review and editing, E.B.; supervision, E.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of LITHUANIAN UNIVERSITY OF HEALTH SCIENCES (protocol code BEC-GŽS(M)-03, 2021-09-16).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data available on request due to restrictions e.g., privacy or ethical. The data are not publicly available due to privacy restrictions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Melco, A.L.; Goldman, L.; Fine, A.H.; Peralta, J.M. Investigation of Physiological and Behavioral Responses in Dogs Participating in Animal-Assisted Therapy with Children Diagnosed with Attention-Deficit Hyperactivity Disorder. J. Appl. Anim. Welf. Sci. 2020, 23, 10–28. [Google Scholar] [CrossRef] [PubMed]
  2. Nimer, J.; Lundahl, B. Animal-Assisted Therapy: A Meta-Analysis. Anthrozoös 2007, 20, 225–238. [Google Scholar] [CrossRef] [Green Version]
  3. Chandler, C.K. Animal-Assisted Therapy in Counseling; Routledge: New York, NY, USA, 2005; pp. xv, 237. ISBN 978-0-415-95173-9. [Google Scholar]
  4. Terminology Pet Partners. Available online: https://petpartners.org/learn/terminology/ (accessed on 16 January 2022).
  5. Animal-Assisted Therapy Psychology Today. Available online: https://www.psychologytoday.com/us/therapy-types/animal-assisted-therapy (accessed on 16 January 2022).
  6. Chang, S.J.; Lee, J.; An, H.; Hong, W.-H.; Lee, J.Y. Animal-Assisted Therapy as an Intervention for Older Adults: A Systematic Review and Meta-Analysis to Guide Evidence-Based Practice. Worldviews Evid. Based Nurs. 2021, 18, 60–67. [Google Scholar] [CrossRef] [PubMed]
  7. Jegatheesan, B.; Beetz, A.; Ormerod, E.; Johnson, R.; Fine, A.; Yamazaki, K.; Dudzik, C.; Garcia, R.M.; Winkle, M.; Choi, G. The IAHAIO Definitions for Animal Assisted Intervention and Guidelines for Wellness of Animals Involved in AAI; IAHAIO White Paper; International Association of Human-Animal Interaction Organizations: Seattle, WA, USA, 2014. [Google Scholar]
  8. Marino, L. Construct Validity of Animal-Assisted Therapy and Activities: How Important Is the Animal in AAT? Anthrozoös 2012, 25, s139–s151. [Google Scholar] [CrossRef]
  9. Fine, A. Handbook on Animal-Assisted Therapy: Foundations and Guidelines for Animal-Assisted Interventions; Academic Press: Cambridge, MA, USA, 2015; ISBN 978-0-12-801436-3. [Google Scholar]
  10. Gee, N.R.; Fine, A.H.; McCardle, P. (Eds.) How Animals Help Students Learn: Research and Practice for Educators and Mental-Health Professionals; Routledge: New York, NY, USA, 2017; ISBN 978-1-315-62061-9. [Google Scholar]
  11. Kruger, K.A.; Serpell, J.A. Animal-Assisted Interventions in Mental Health: Definitions and Theoretical Foundations. In Handbook on Animal-Assisted Therapy, 3rd ed.; Fine, A.H., Ed.; Academic Press: San Diego, CA, USA, 2010; pp. 33–48. ISBN 978-0-12-381453-1. [Google Scholar]
  12. Redefer, L.A.; Goodman, J.F. Brief Report: Pet-Facilitated Therapy with Autistic Children. J. Autism Dev. Disord 1989, 19, 461–467. [Google Scholar] [CrossRef] [PubMed]
  13. Havener, L.; Gentes, L.; Thaler, B.; Megel, M.; Baun, M.; Driscoll, F.; Beiraghi, S.; Agrawal, N. The Effects of a Companion Animal on Distress in Children Undergoing Dental Procedures. Issues Compr. Pediatric Nurs. 2001, 24, 137–152. [Google Scholar] [CrossRef]
  14. Kanamori, M.; Suzuki, M.; Yamamoto, K.; Kanda, M.; Matsui, Y.; Kojima, E.; Fukawa, H.; Sugita, T.; Oshiro, H. A Day Care Program and Evaluation of Animal-Assisted Therapy (AAT) for the Elderly with Senile Dementia. Am. J. Alzheimer’s Dis. Other Demen. 2001, 16, 234–239. [Google Scholar] [CrossRef]
  15. Barker, S.B.; Dawson, K.S. The Effects of Animal-Assisted Therapy on Anxiety Ratings of Hospitalized Psychiatric Patients. Psychiatr. Serv. 1998, 49, 797–801. [Google Scholar] [CrossRef]
  16. Nagengast, S.L.; Baun, M.M.; Megel, M.; Leibowitz, J.M. The Effects of the Presence of a Companion Animal on Physiological Arousal and Behavioral Distress in Children during a Physical Examination. J. Pediatric Nurs. Nurs. Care Child. Fam. 1997, 12, 323–330. [Google Scholar] [CrossRef]
  17. Nathanson, D.E.; de Castro, D.; Friend, H.; McMahon, M. Effectiveness of Short-Term Dolphin-Assisted Therapy for Children with Severe Disabilities. Anthrozoös 1997, 10, 90–100. [Google Scholar] [CrossRef]
  18. Chandler, C.K. Animal-Assisted Therapy in Counseling, 3rd ed.; Routledge: New York, NY, USA, 2017; ISBN 978-1-315-67304-2. [Google Scholar]
  19. Serpell, J.; McCune, S.; Gee, N.; Griffin, J.A. Current Challenges to Research on Animal-Assisted Interventions. Appl. Dev. Sci. 2017, 21, 223–233. [Google Scholar] [CrossRef]
  20. O’haire, M.; Guérin, N.; Kirkham, A. Animal-Assisted Intervention for Trauma: A Systematic Literature Review. Front. Psychol. 2015, 6, 1121. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Fredrickson-MacNamara, M.; Butler, K. Animal Selection Procedures in Animal-Assisted Interaction Programs. In Handbook on Animal-Assisted Therapy; Elsevier: Amsterdam, The Netherlands, 2010; pp. 111–134. [Google Scholar]
  22. Barba, B.E. The Positive Influence of Animals: Animal-Assisted Therapy in Acute Care. Clin. Nurse Spec. 1995, 9, 199. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Berget, B.; Ekeberg, Ø.; Braastad, B.O. Attitudes to Animal-Assisted Therapy with Farm Animals among Health Staff and Farmers. J. Psychiatr. Ment. Health Nurs. 2008, 15, 576–581. [Google Scholar] [CrossRef] [PubMed]
  24. Hassink, J.; Van Dijk, M. Farming for Health: Green-Care Farming across Europe and the United States of America; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2006; Volume 13, ISBN 1-4020-4541-7. [Google Scholar]
  25. Corsetti, S.; Ferrara, M.; Natoli, E. Evaluating Stress in Dogs Involved in Animal-Assisted Interventions. Animals 2019, 9, 833. [Google Scholar] [CrossRef] [Green Version]
  26. Clark, S.D.; Smidt, J.M.; Bauer, B.A. Therapy Dogs’ and Handlers’ Behavior and Salivary Cortisol During Initial Visits in a Complex Medical Institution: A Pilot Study. Front. Vet. Sci. 2020, 7, 564201. [Google Scholar] [CrossRef]
  27. Dinis, F.A.B.S.G.; Martins, T.L.F. Does Cat Attachment Have an Effect on Human Health? A Comparison between Owners and Volunteers. Pet Behav. Sci. 2016, 1, 1–12. [Google Scholar] [CrossRef] [Green Version]
  28. Nagasawa, T.; Ohta, M.; Uchiyama, H. Effects of the Characteristic Temperament of Cats on the Emotions and Hemodynamic Responses of Humans. PLoS ONE 2020, 15, e0235188. [Google Scholar] [CrossRef]
  29. Serpell, J. Beneficial Effects of Pet Ownership on Some Aspects of Human Health and Behaviour. J. R. Soc. Med. 1991, 84, 717–720. [Google Scholar] [CrossRef] [Green Version]
  30. Stammbach, K.B.; Turner, D.C. Understanding the Human—Cat Relationship: Human Social Support or Attachment. Anthrozoös 1999, 12, 162–168. [Google Scholar] [CrossRef]
  31. Turner, D.C.; Rieger, G.; Gygax, L. Spouses and Cats and Their Effects on Human Mood. Anthrozoös 2003, 16, 213–228. [Google Scholar] [CrossRef]
  32. Marinelli, L.; Adamelli, S.; Normando, S.; Bono, G. Quality of Life of the Pet Dog: Influence of Owner and Dog’s Characteristics. Appl. Anim. Behav. Sci. 2007, 108, 143–156. [Google Scholar] [CrossRef]
  33. Lönker, N.S.; Fechner, K.; Abd El Wahed, A. Horses as a Crucial Part of One Health. Vet. Sci. 2020, 7, 28. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Ajzenman, H.F.; Standeven, J.W.; Shurtleff, T.L. Effect of Hippotherapy on Motor Control, Adaptive Behaviors, and Participation in Children With Autism Spectrum Disorder: A Pilot Study. Am. J. Occup. Ther. 2013, 67, 653–663. [Google Scholar] [CrossRef] [Green Version]
  35. Beinotti, F.; Christofoletti, G.; Correia, N.; Borges, G. Effects of Horseback Riding Therapy on Quality of Life in Patients Post Stroke. Top. Stroke Rehabil. 2013, 20, 226–232. [Google Scholar] [CrossRef]
  36. Benda, W.; McGibbon, N.H.; Grant, K.L. Improvements in Muscle Symmetry in Children with Cerebral Palsy After Equine-Assisted Therapy (Hippotherapy). J. Altern. Complementary Med. 2003, 9, 817–825. [Google Scholar] [CrossRef]
  37. Champagne, D.; Dugas, C. Improving Gross Motor Function and Postural Control with Hippotherapy in Children with Down Syndrome: Case Reports. Physiother. Theory Pract. 2010, 26, 564–571. [Google Scholar] [CrossRef]
  38. Silkwood-Sherer, D.; Warmbier, H. Effects of Hippotherapy on Postural Stability, in Persons with Multiple Sclerosis: A Pilot Study. J. Neurol. Phys. Ther. 2007, 31, 77–84. [Google Scholar] [CrossRef] [Green Version]
  39. Sung, Y.-H.; Kim, C.-J.; Yu, B.-K.; Kim, K.-M. A Hippotherapy Simulator Is Effective to Shift Weight Bearing toward the Affected Side during Gait in Patients with Stroke. NeuroRehabilitation 2013, 33, 407–412. [Google Scholar] [CrossRef]
  40. Winchester, P.; Kendall, K.; Peters, H.; Sears, N.; Winkley, T. The Effect of Therapeutic Horseback Riding on Gross Motor Function and Gait Speed in Children Who Are Developmentally Delayed. Phys. Occup. Ther. Pediatrics 2002, 22, 37–50. [Google Scholar] [CrossRef]
  41. Wollenweber, V.; Drache, M.; Schickendantz, S.; Gerber-Grote, A.; Schiller, P.; Pöhlau, D. Study of the Effectiveness of Hippotherapy on the Symptoms of Multiple Sclerosis—Outline of a Randomised Controlled Multicentre Study (MS-HIPPO). Contemp. Clin. Trials Commun. 2016, 3, 6–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Zadnikar, M.; Kastrin, A. Effects of Hippotherapy and Therapeutic Horseback Riding on Postural Control or Balance in Children with Cerebral Palsy: A Meta-Analysis. Dev. Med. Child Neurol. 2011, 53, 684–691. [Google Scholar] [CrossRef] [PubMed]
  43. Gabriels, R.L.; Pan, Z.; Dechant, B.; Agnew, J.A.; Brim, N.; Mesibov, G. Randomized Controlled Trial of Therapeutic Horseback Riding in Children and Adolescents With Autism Spectrum Disorder. J. Am. Acad. Child Adolesc. Psychiatry 2015, 54, 541–549. [Google Scholar] [CrossRef] [Green Version]
  44. Meregillano, G. Hippotherapy. Phys. Med. Rehabil. Clin. N. Am. 2004, 15, 843–854. [Google Scholar] [CrossRef]
  45. Aranda-García, S.; Iricibar, A.; Planas, A.; Prat-Subirana, J.A.; Angulo-Barroso, R.M. Comparative Effects of Horse Exercise Versus Traditional Exercise Programs on Gait, Muscle Strength, and Body Balance in Healthy Older Adults. J. Aging Phys. Act. 2015, 23, 78–89. [Google Scholar] [CrossRef]
  46. White-Lewis, S. Equine-Assisted Therapies Using Horses as Healers: A Concept Analysis. Nurs. Open 2020, 7, 58–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Berget, B. Animal-Assisted Therapy: Effects on Persons with Psychiatric Disorders Working with Farm Animals; Department of Animal and Aquacultural, Norwegian University of Life Sciences: Ås, Norway, 2006. [Google Scholar]
  48. Berget, B.; Skarsaune, I.; Ekeberg, Ø.; Braastad, B.O. Humans with Mental Disorders Working with Farm Animals: A Behavioral Study. Occup. Ther. Ment. Health 2007, 23, 101–117. [Google Scholar] [CrossRef]
  49. Berget, B.; Ekeberg, Ø.; Braastad, B. Farm Animals in Therapy for Humans with Mental Disorders. In Proceedings of the People and animals: A timeless relationship and the 10th International Conference on Human–Animal Interactions, Glasgow, Poland, 6–9 October 2004; pp. 7–9. [Google Scholar]
  50. Berget, B.; Braastad, B. Farm Animals in Therapy for Mentally Retarded Persons, a Pilot Study. In Proceedings of the Abstracts, 5th International Conference on the Relationship between Humans and Animals, Monaco, 15–18 November 1989; Volume 15. [Google Scholar]
  51. Smith, C.P. Animal Models in Biomedical Research: Swine. In Special Reference Briefs; National Agricultural Library: Beltsville, MD, USA, 1993. [Google Scholar]
  52. Hassink, J.; De Bruin, S.R.; Berget, B.; Elings, M. Exploring the Role of Farm Animals in Providing Care at Care Farms. Animals 2017, 7, 45. [Google Scholar] [CrossRef] [Green Version]
  53. Kruger, K.A.; Serpell, J.A.; Fine, A. Handbook on Animal-Assisted Therapy: Theoretical Foundations and Guidelines for Practice; Academic Press: Cambridge, MA, USA, 2010. [Google Scholar]
  54. Martin, F.; Farnum, J. Animal-Assisted Therapy for Children with Pervasive Developmental Disorders. West. J. Nurs. Res. 2002, 24, 657–670. [Google Scholar] [CrossRef]
  55. Serpell, J. Guest Editor’s Introduction: Animals in Children’s Lives. Soc. Anim. 1999, 7, 87–94. [Google Scholar] [CrossRef]
  56. Askew, C.; Çakır, K.; Põldsam, L.; Reynolds, G. The Effect of Disgust and Fear Modeling on Children’s Disgust and Fear for Animals. J. Abnorm. Psychol. 2014, 123, 566. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Bennett-Levy, J.; Marteau, T. Fear of Animals: What Is Prepared? Br. J. Psychol. 1984, 75, 37–42. [Google Scholar] [CrossRef]
  58. Evans, J.D. Straightforward Statistics for the Behavioral Sciences; Thomson Brooks/Cole Publishing Co.: Belmont, CA, USA, 1996; p. 600. ISBN 0-534-23100-4. [Google Scholar]
  59. Burgdorf, J.; Panksepp, J. The Neurobiology of Positive Emotions. Neurosci. Biobehav. Rev. 2006, 30, 173–187. [Google Scholar] [CrossRef] [PubMed]
  60. Fredrickson, B.L. The Role of Positive Emotions in Positive Psychology: The Broaden-and-Build Theory of Positive Emotions. Am. Psychol. 2001, 56, 218. [Google Scholar] [CrossRef]
  61. Seligman, M.E.; Csikszentmihalyi, M. Positive Psychology. An Introduction. Am. J. Psychol. 2000, 55, 5–14. [Google Scholar] [CrossRef]
  62. Cloninger, C.R.; Zohar, A.H. Personality and the Perception of Health and Happiness. J. Affect. Disord. 2011, 128, 24–32. [Google Scholar] [CrossRef]
  63. Davis, K.L.; Panksepp, J.; Normansell, L. The Affective Neuroscience Personality Scales: Normative Data and Implications. Neuropsychoanalysis 2003, 5, 57–69. [Google Scholar] [CrossRef]
  64. Lang, P.J. The Emotion Probe: Studies of Motivation and Attention. Am. Psychol. 1995, 50, 372. [Google Scholar] [CrossRef]
  65. Ekman, P.; Davidson, R.J.; Friesen, W.V. The Duchenne Smile: Emotional Expression and Brain Physiology: II. J. Personal. Soc. Psychol. 1990, 58, 342. [Google Scholar] [CrossRef]
  66. Winkle, M.; Johnson, A.; Mills, D. Dog Welfare, Well-Being and Behavior: Considerations for Selection, Evaluation and Suitability for Animal-Assisted Therapy. Animals 2020, 10, 2188. [Google Scholar] [CrossRef]
  67. Stibbe, A. As Charming as a Pig: The Discursive Construction of the Relationship between Pigs and Humans. Soc. Anim. 2003, 11, 375–392. [Google Scholar] [CrossRef]
  68. Sipos, W.; Schmoll, F.; Stumpf, I. Minipigs and Potbellied Pigs as Pets in the Veterinary Practice—A Retrospective Study. J. Vet. Med. Ser. A 2007, 54, 504–511. [Google Scholar] [CrossRef] [PubMed]
  69. American Mini Pig Association. Therapy Mini Pig; American Mini Pig Association: Aurora, MO, USA, 2017. [Google Scholar]
  70. ADA 2010 Revised Requirements: Service Animals. Available online: https://www.ada.gov/service_animals_2010.htm (accessed on 16 January 2022).
  71. Mano, H.; Ogawa, I. A Preliminary Study Examining the Feasibility of Mini-Pig Assisted Activity for Elderly People in Nursing Homes in Japan. In Congress of the International Ergonomics Association; Springer: Berlin/Heidelberg, Germany, 2018; pp. 573–577. [Google Scholar]
  72. Bremhorst, A.; Mills, D. Working with Companion Animals, and Especially Dogs, in Therapeutic and Other AAI Settings. In The Welfare of Animals in Animal-Assisted Interventions: Foundations and Best Practice Methods; Peralta, J.M., Fine, A.H., Eds.; Springer International Publishing: Cham, Switzerland, 2021; pp. 191–217. ISBN 978-3-030-69587-3. [Google Scholar]
Animals 12 00597 g001 550
Figure 1. Principal scheme of the experiment.
Figure 1. Principal scheme of the experiment.
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Animals 12 00597 g002 550
Figure 2. Average values of induced emotions for individuals by different animal species (a–c: the mean values in the columns of the same color marked with different letters are significantly different (p ≤ 0.05)).
Figure 2. Average values of induced emotions for individuals by different animal species (a–c: the mean values in the columns of the same color marked with different letters are significantly different (p ≤ 0.05)).
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Animals 12 00597 g003 550
Figure 3. Percentage of the participants with the maximum valence induced by different animal species.
Figure 3. Percentage of the participants with the maximum valence induced by different animal species.
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Figure 4. Number of participants with the maximum emotion ‘happy’ induced by different animal species and breeds (dogs: 1.1. Australian shepherd, 1.2. pug, 1.3. Labrador retriever, 1.4. Doberman, 1.5. miniature schnauzer, 1.6. beagle, 1.7. mixed breed, 1.8. Yorkshire terrier, 1.9. mixed breed, 1.10. mixed breed, 1.11. Cane Corso, 1.12. Samoyed, and 1.13. Chihuahua; cats: 2.1. mixed breed, 2.2. British shorthair, 2.3. Himalayan cat, 2.4. mixed breed, 2.5. mixed breed, 2.6. Siamese cat, 2.7. Sphynx, and 2.8. Bengal cat; horses: 3.1. Norwegian Fjord, 3.2. Exmoor pony, 3.3. Andalusian, and 3.4. Friesian; pigs: 4.1. Vietnamese pot-bellied and 4.2. Kunekune; sheep: 5.1. Herdwick sheep and 5.2. Suffolk sheep).
Figure 4. Number of participants with the maximum emotion ‘happy’ induced by different animal species and breeds (dogs: 1.1. Australian shepherd, 1.2. pug, 1.3. Labrador retriever, 1.4. Doberman, 1.5. miniature schnauzer, 1.6. beagle, 1.7. mixed breed, 1.8. Yorkshire terrier, 1.9. mixed breed, 1.10. mixed breed, 1.11. Cane Corso, 1.12. Samoyed, and 1.13. Chihuahua; cats: 2.1. mixed breed, 2.2. British shorthair, 2.3. Himalayan cat, 2.4. mixed breed, 2.5. mixed breed, 2.6. Siamese cat, 2.7. Sphynx, and 2.8. Bengal cat; horses: 3.1. Norwegian Fjord, 3.2. Exmoor pony, 3.3. Andalusian, and 3.4. Friesian; pigs: 4.1. Vietnamese pot-bellied and 4.2. Kunekune; sheep: 5.1. Herdwick sheep and 5.2. Suffolk sheep).
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Animals 12 00597 g005 550
Figure 5. Number of the participants with the maximum valence induced by different animal species and breeds (dogs: 1.1. Australian shepherd, 1.2. pug, 1.3. Labrador retriever, 1.4. Doberman, 1.5. miniature schnauzer, 1.6. beagle, 1.7. mixed breed, 1.8. Yorkshire terrier, 1.9. mixed breed, 1.10. mixed breed, 1.11. Cane Corso, 1.12. Samoyed, and 1.13. Chihuahua; cats: 2.1. mixed breed, 2.2. British shorthair, 2.3. Himalayan cat, 2.4. mixed breed, 2.5. mixed breed, 2.6. Siamese cat, 2.7. Sphynx, and 2.8. Bengal cat; horses: 3.1. Norwegian Fjord, 3.2. Exmoor pony, 3.3. Andalusian, and 3.4. Friesian; pigs: 4.1. Vietnamese pot-bellied and 4.2. Kunekune; sheep: 5.1. Herdwick sheep and 5.2. Suffolk sheep).
Figure 5. Number of the participants with the maximum valence induced by different animal species and breeds (dogs: 1.1. Australian shepherd, 1.2. pug, 1.3. Labrador retriever, 1.4. Doberman, 1.5. miniature schnauzer, 1.6. beagle, 1.7. mixed breed, 1.8. Yorkshire terrier, 1.9. mixed breed, 1.10. mixed breed, 1.11. Cane Corso, 1.12. Samoyed, and 1.13. Chihuahua; cats: 2.1. mixed breed, 2.2. British shorthair, 2.3. Himalayan cat, 2.4. mixed breed, 2.5. mixed breed, 2.6. Siamese cat, 2.7. Sphynx, and 2.8. Bengal cat; horses: 3.1. Norwegian Fjord, 3.2. Exmoor pony, 3.3. Andalusian, and 3.4. Friesian; pigs: 4.1. Vietnamese pot-bellied and 4.2. Kunekune; sheep: 5.1. Herdwick sheep and 5.2. Suffolk sheep).
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Table
Table 1. Sociodemographic characterization.
Table 1. Sociodemographic characterization.
Sociodemographic DataFrequency (Number)Percentage (%)
GenderFemale4182
Male918
Highest Level of EducationPrimary School00
Secondary School1734
University Degree3366
Civil StatusSingle1428
Married/Living together2754
Divorced/Separated714
Widowed24
Occupation Student24
Employed3774
Unemployed00
Retired510
Working student612
Professional fieldEducation3672
Health 24
Law and Public policy12
Community and Social Services12
Agriculture1020
Other00
Total Number of Participants50
Table
Table 2. Significance of the analyzed factors and their interaction with different animal species and breeds on the emotions induced in individuals.
Table 2. Significance of the analyzed factors and their interaction with different animal species and breeds on the emotions induced in individuals.
FactorsEmotions and Valencep
Animal species‘Neutral’0.0001
‘Happy’0.0001
‘Sad’0.776
‘Angry’0.705
‘Surprised’0.552
‘Scared’0.009
‘Disgusted’0.626
‘Contempt’0.568
Valence0.006
Animal breed‘Neutral’0.891
‘Happy’0.0001
‘Sad’0.422
‘Angry’0.887
‘Surprised’0.918
‘Scared’0.860
‘Disgusted’0.570
‘Contempt’0.901
Valence0.001
Animal species and breed interaction‘Neutral’0.986
‘Happy’0.621
‘Sad’0.984
‘Angry’0.958
‘Surprised’0.864
‘Scared’0.795
‘Disgusted’0.788
‘Contempt’0.742
Valence0.958
p: significance; p values of ≤0.05 were considered to be significant. Significant results are marked in bold.
Table
Table 3. Pearson correlations between the emotion’s intensity induced in persons, and the Likert scale results.
Table 3. Pearson correlations between the emotion’s intensity induced in persons, and the Likert scale results.
Likert Scale‘Neutral’‘Happy’‘Sad’‘Angry’‘Sur-prised’‘Scared’‘Disgus-ted’‘Con-tempt’Valence
Likert scaler1−0.033−0.0150.0080.018−0.084 **0.0130.078 **−0.040−0.028
p 0.2400.6090.7760.5230.0030.6380.0060.1540.315
‘Neutral’r−0.0331−0.447 **−0.353 **−0.174 **−0.030−0.287 **−0.207 **−0.115 **0.118 **
p0.240 0.00010.00010.00010.2910.00010.00010.00010.0001
‘Happy’r−0.015−0.447 **1−0.162 **−0.087 **0.069 *−0.0150.0130.075 **0.693 **
p0.6090.0001 0.00010.0020.0140.6020.6420.0080.0001
‘Sad’r0.008−0.353 **−0.162 **10.010−0.130 **−0.0190.018−0.044−0.693 **
p0.7760.00010.0001 0.7310.00010.4940.5220.1220.0001
‘Angry’r0.018−0.174 **−0.087 **0.0101−0.085 **−0.0540.0260.013−0.335 **
p0.5230.00010.0020.731 0.0030.0580.3620.6510.0001
‘Surprised’r−0.084 **−0.0300.069 *−0.130 **−0.085 **1−0.009−0.051−0.0130.150 **
p0.0030.2910.0140.00010.003 0.7430.0720.6540.0001
‘Scared’r0.013−0.287 **−0.015−0.019−0.054−0.0091−0.0400.039−0.224 **
p0.6380.00010.6020.4940.0580.743 0.1620.1650.0001
‘Disgusted’r0.078 **−0.207 **0.0130.0180.026−0.051−0.0401−0.007−0.108 **
p0.0060.00010.6420.5220.3620.0720.162 0.8030.0001
‘Contempt’r−0.040−0.115 **0.075 **−0.0440.013−0.0130.039−0.00710.085 **
p0.1540.00010.0080.1220.6510.6540.1650.803 0.003
Valencer−0.0280.118 **0.693 **−0.693 **−0.335 **0.150 **−0.224 **−0.108 **0.085 **1
p0.3150.00010.00010.00010.00010.00010.00010.00010.003
r: Pearson correlation coefficient. The Pearson correlation coefficients that are statistically significant are marked in bold. p: significance (2-tailed). ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).
Table
Table 4. Personalized selection of animal species and breeds for individuals, according to the animal species and breed-induced ‘happy’ and valence values.
Table 4. Personalized selection of animal species and breeds for individuals, according to the animal species and breed-induced ‘happy’ and valence values.
Participant IDMax of ‘Happy’ MeanAnimal ID No.AnimalMax Valence MeanAnimal ID No.Animal
10.73662.2Cats0.72862.2Cats
20.34741.1Dogs0.33941.1Dogs
30.20784.1Pigs0.16984.1Pigs
40.08621.1Dogs0.06811.1Dogs
50.28481.6Dogs0.23811.6Dogs
60.01523.1Horses−0.00401.5Dogs
70.21812.2Cats0.16702.2Cats
80.34194.2Pigs0.34054.2Pigs
90.40511.1Dogs0.39751.1Dogs
100.34821.1Dogs0.33691.1Dogs
110.29972.1Cats0.29612.1Cats
120.00812.8Cats−0.01072.3Cats
130.04122.7Cats−0.00122.7Cats
140.00803.2Horses−0.01032.2Cats
150.05941.2Dogs−0.00254.2Pigs
160.13613.3Horses0.08933.3Horses
170.23934.2Pigs0.22704.2Pigs
180.40281.1Dogs0.40101.1Dogs
190.14694.1Pigs0.11024.1Pigs
200.40851.2Dogs0.33971.2Dogs
210.27992.3Cats0.25022.3Cats
220.74981.13Dogs0.71941.13Dogs
230.33991.6Dogs0.33321.6Dogs
240.40351.2Dogs0.38601.2Dogs
250.40341.2Dogs0.283451.2Dogs
260.16761.8Dogs0.09772.2Cats
270.30884.1Pigs0.29944.1Pigs
280.42841.2Dogs0.39711.2Dogs
290.07961.6Dogs0.02221.6Dogs
300.17612.1Cats0.16412.1Cats
310.05902.1Cats−0.01163.3Horses
320.13142.1Cats0.07482.1Cats
330.05534.1Pigs0.01303.3Horses
340.09384.1Pigs0.01101.3Dogs
350.25461.11Dogs0.18071.11Dogs
360.05273.3Horses0.04453.3Horses
370.20491.13Dogs0.13451.3Dogs
380.14942.7Cats0.06862.7Cats
390.18024.1Pigs0.12684.2Pigs
400.46661.3Dogs0.46381.3Dogs
410.37854.1Pigs0.33784.1Pigs
420.63174.2Pigs0.60424.2Pigs
430.42754.2Pigs0.42494.2Pigs
440.23044.1Pigs0.22364.1Pigs
450.64811.2Dogs0.64111.2Dogs
460.53131.3Dogs0.52671.3Dogs
470.23962.2Cats0.23862.2Cats
480.59701.4Dogs0.56971.4Dogs
490.71191.5Dogs0.62991.13Dogs
500.63174.2Pigs0.38895.2Sheep
The results, which differed in the selection of the animal according to max emotion ‘happy’ and max valence, are marked in bold. Dogs: 1.1. Australian shepherd, 1.2. pug, 1.3. Labrador retriever, 1.4. Doberman, 1.5. miniature schnauzer, 1.6. beagle, 1.7. mixed breed, 1.8. Yorkshire terrier, 1.9. mixed breed, 1.10. mixed breed, 1.11. Cane Corso, 1.12. Samoyed, and 1.13. Chihuahua; cats: 2.1. mixed breed, 2.2. British shorthair, 2.3. Himalayan cat, 2.4. mixed breed, 2.5. mixed breed, 2.6. Siamese cat, 2.7. Sphynx, and 2.8. Bengal cat; horses: 3.1. Norwegian Fjord, 3.2. Exmoor pony, 3.3. Andalusian, and 3.4. Friesian; pigs: 4.1. Vietnamese pot-bellied and 4.2. Kunekune; sheep: 5.1. Herdwick sheep and 5.2. Suffolk sheep.
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Luksaite, J.; Zokaityte, E.; Starkute, V.; Sidlauskiene, S.; Zokaityte, G.; Bartkiene, E. Personalized Strategy for Animal-Assisted Therapy for Individuals Based on the Emotions Induced by the Images of Different Animal Species and Breeds. Animals 2022, 12, 597. https://doi.org/10.3390/ani12050597

AMA Style

Luksaite J, Zokaityte E, Starkute V, Sidlauskiene S, Zokaityte G, Bartkiene E. Personalized Strategy for Animal-Assisted Therapy for Individuals Based on the Emotions Induced by the Images of Different Animal Species and Breeds. Animals. 2022; 12(5):597. https://doi.org/10.3390/ani12050597

Chicago/Turabian Style

Luksaite, Jovita, Egle Zokaityte, Vytaute Starkute, Sonata Sidlauskiene, Gintare Zokaityte, and Elena Bartkiene. 2022. "Personalized Strategy for Animal-Assisted Therapy for Individuals Based on the Emotions Induced by the Images of Different Animal Species and Breeds" Animals 12, no. 5: 597. https://doi.org/10.3390/ani12050597

APA Style

Luksaite, J., Zokaityte, E., Starkute, V., Sidlauskiene, S., Zokaityte, G., & Bartkiene, E. (2022). Personalized Strategy for Animal-Assisted Therapy for Individuals Based on the Emotions Induced by the Images of Different Animal Species and Breeds. Animals, 12(5), 597. https://doi.org/10.3390/ani12050597

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