{"title":"How vegans, vegetarians and carnists differ in personality traits and attitudes towards animals.","authors":"Ľuboš Kováč, Peter Halama","doi":"10.5114/cipp.2021.107172","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Food decisions and dietary preferences are affected by a complex set of different cultural or regional factors, but personality traits seem to play an important role too. Previous research suggested that the food preferences related to veganism, vegetarianism, or carnism can be predicted by the Big Five model of personality and reflected in the attitudes towards animals.</p><p><strong>Participants and procedure: </strong>The present study examined personality traits and attitudes towards animals of 190 (<i>M</i> = 24.90, <i>SD</i> = 7.18) Slovak participants, of whom 57 were vegans, 56 vegetarians, and 77 carnists. To measure Big Five personality traits, the Big Five Inventory-2 (BFI-2) was used. Attitudes towards animals were measured by the short 10-item version of the Animal Attitude Scale (AAS-10).</p><p><strong>Results: </strong>Vegans and vegetarians scored significantly higher than carnists in open-mindedness and attitude towards animals; there was no difference between scores of vegans and vegetarians. No relationship between the diet groups and demographic variables (gender, education, and age) was identified. From personality traits and sociodemo-graphic variables, only open-mindedness was a significant predictor of attitudes towards animals.</p><p><strong>Conclusions: </strong>Vegans and vegetarians differ from carnists primarily in one trait: open-mindedness. Vegans and vegetarians also differ from carnists by holding more positive attitudes towards animals.</p>","PeriodicalId":55409,"journal":{"name":"Autonomous Robots","volume":"44 1","pages":"147-152"},"PeriodicalIF":4.3000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535629/pdf/","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Autonomous Robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5114/cipp.2021.107172","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 4
Abstract
Background: Food decisions and dietary preferences are affected by a complex set of different cultural or regional factors, but personality traits seem to play an important role too. Previous research suggested that the food preferences related to veganism, vegetarianism, or carnism can be predicted by the Big Five model of personality and reflected in the attitudes towards animals.
Participants and procedure: The present study examined personality traits and attitudes towards animals of 190 (M = 24.90, SD = 7.18) Slovak participants, of whom 57 were vegans, 56 vegetarians, and 77 carnists. To measure Big Five personality traits, the Big Five Inventory-2 (BFI-2) was used. Attitudes towards animals were measured by the short 10-item version of the Animal Attitude Scale (AAS-10).
Results: Vegans and vegetarians scored significantly higher than carnists in open-mindedness and attitude towards animals; there was no difference between scores of vegans and vegetarians. No relationship between the diet groups and demographic variables (gender, education, and age) was identified. From personality traits and sociodemo-graphic variables, only open-mindedness was a significant predictor of attitudes towards animals.
Conclusions: Vegans and vegetarians differ from carnists primarily in one trait: open-mindedness. Vegans and vegetarians also differ from carnists by holding more positive attitudes towards animals.
期刊介绍:
Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development.
The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.