TY - JOUR
T1 - Animal images database
T2 - validation of 120 images for human-animal studies
AU - Possidónio, Catarina
AU - Graça, João
AU - Piazza, Jared
AU - Prada, Marília
N1 - Funding Information:
Author Contributions: Conceptualization, C.P., J.G., J.P. and M.P.; methodology, C.P., J.G., J.P. and M.P.; images search and edition: C.P.; data analysis, C.P. and M.P.; writing—original draft preparation, C.P.; writing—review and editing, C.P., J.G., J.P. and M.P. All authors have approved the final version Funding: This research was funded by a grant from Fundação para a Ciência e Tecnologia (PD/BD/135440/2017) awarded to the first author.
Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/8
Y1 - 2019/8
N2 - There has been increasing interest in the study of human-animal relations. This contrasts with the lack of normative resources and materials for research purposes. We present subjective norms for a set of 120 open-source colour images of animals spanning a total of 12 biological categories (e.g., mammals, insects, reptiles, arachnids). Participants (N = 509, 55.2% female, MAge = 28.05, SD = 9.84) were asked to evaluate a randomly selected sub-set of 12 animals on valence, arousal, familiarity, cuteness, dangerousness, edibility, similarity to humans, capacity to think, capacity to feel, acceptability to kill for human consumption and feelings of care and protection. Animal evaluations were affected by individual characteristics of the perceiver, particularly gender, diet and companion animal ownership. Moral attitudes towards animals were predominantly predicted by ratings of cuteness, edibility, capacity to feel and familiarity. The Animal Images Database (Animal.ID) is the largest open-source database of rated images of animals; the stimuli set and item-level data are freely available online.
AB - There has been increasing interest in the study of human-animal relations. This contrasts with the lack of normative resources and materials for research purposes. We present subjective norms for a set of 120 open-source colour images of animals spanning a total of 12 biological categories (e.g., mammals, insects, reptiles, arachnids). Participants (N = 509, 55.2% female, MAge = 28.05, SD = 9.84) were asked to evaluate a randomly selected sub-set of 12 animals on valence, arousal, familiarity, cuteness, dangerousness, edibility, similarity to humans, capacity to think, capacity to feel, acceptability to kill for human consumption and feelings of care and protection. Animal evaluations were affected by individual characteristics of the perceiver, particularly gender, diet and companion animal ownership. Moral attitudes towards animals were predominantly predicted by ratings of cuteness, edibility, capacity to feel and familiarity. The Animal Images Database (Animal.ID) is the largest open-source database of rated images of animals; the stimuli set and item-level data are freely available online.
KW - Animal images
KW - Diet
KW - Human-animal relations
KW - Meat consumption
KW - Normative data
KW - Subjective ratings
UR - http://www.scopus.com/inward/record.url?scp=85071197705&partnerID=8YFLogxK
U2 - 10.3390/ani9080475
DO - 10.3390/ani9080475
M3 - Article
C2 - 31344828
AN - SCOPUS:85071197705
SN - 2076-2615
VL - 9
JO - Animals
JF - Animals
IS - 8
M1 - 475
ER -