Related Concept Videos
Socioemotional Development during Infancy
Primary Temperament Types
Self-Report Tests of Personality
Personality Theory by Eysenck and Eysenck
In the extroversion/introversion dimension, highly extroverted people are sociable, outgoing, and easily connect with others. In contrast,...
You might also read
Related Articles
Articles linked to this work by shared authors, journal, and citation graph.
Classical cuts: a pilot study of classical music's effects on dogs in grooming settings.
The Impact of Environmental Enrichment on the Cortisol Level of Shelter Cats.
The Effect of a Diet Supplemented with Organic Minerals and l-Carnitine on Egg Production and Chemical Composition and on Some Blood Traits of Pheasant Hens (<i>Phasianus colchicus</i>).
Related Experiment Video
Updated: Sep 30, 2025

The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle
Published on: April 22, 2020
Temperament Assessment Algorithm in Dogs.
Mirosław Karpiński1, Justyna Wojtaś1, Aleksandra Garbiec1
1Department of Animal Ethology and Wildlife Management, University of Life Sciences in Lublin, Akademicka 13, 20-920 Lublin, Poland.
This study classified dog temperaments into introvert and extrovert groups based on behavioral observations. A significant majority of dogs exhibited extrovert traits, with a predictive model developed for temperament assessment.
Area of Science:
- Animal Behavior
- Veterinary Science
- Canine Psychology
Background:
- Understanding dog temperament is crucial for training, socialization, and welfare.
- Previous assessments often relied on subjective owner reports.
- Objective behavioral observation provides a more reliable method for temperament evaluation.
Purpose of the Study:
- To objectively evaluate canine temperament using behavioral observations.
- To classify dogs into introvert and extrovert personality groups.
- To develop a predictive model for canine temperament assessment.
Main Methods:
- Behavioral observations focusing on 24 specific traits and behaviors.
- Application of the agglomeration method, Pearson's 1-r distance, and Ward's binding method for classification.
- Logistic regression analysis to build a temperament assessment model.
Main Results:
- Out of 46 dogs, 18 (39%) were classified as introverts and 28 (61%) as extroverts.
- Behavioral observations successfully differentiated between introvert and extrovert canine personalities.
- A logistic regression model was constructed using introvert traits (ITs) and extrovert traits (ETs).
Conclusions:
- Canine temperament can be reliably assessed through objective behavioral observation.
- The majority of the studied dog population displayed extrovert traits.
- The developed model provides a quantitative approach to classifying dog personalities.

