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Possidónio, C., Graça, J., Piazza, J. & Prada, M. (2019). Animal images database: validation of 120 images for human-animal studies. Animals. 9 (8), 1-20

C. R. Silva et al.,  "Animal images database: validation of 120 images for human-animal studies", in Animals, vol. 9, no. 8, pp. 1-20, 2019

@article{silva2019_1766649305269,
	author = "Possidónio, C. and Graça, J. and Piazza, J. and Prada, M.",
	title = "Animal images database: validation of 120 images for human-animal studies",
	journal = "Animals",
	year = "2019",
	volume = "9",
	number = "8",
	doi = "10.3390/ani9080475",
	pages = "1-20",
	url = "https://www.mdpi.com/2076-2615/9/8/475"
}

TY  - JOUR
TI  - Animal images database: validation of 120 images for human-animal studies
T2  - Animals
VL  - 9
IS  - 8
AU  - Possidónio, C.
AU  - Graça, J.
AU  - Piazza, J.
AU  - Prada, M.
PY  - 2019
SP  - 1-20
SN  - 2076-2615
DO  - 10.3390/ani9080475
UR  - https://www.mdpi.com/2076-2615/9/8/475
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.
ER  -