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Animal Images Database: Validation of 120 Images for Human-Animal Studies

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Animal Images Database: Validation of 120 Images for Human-Animal Studies. / Possidónio, Catarina; Graça, João; Piazza, Jared et al.
In: Animals, Vol. 9, No. 8, 475, 24.07.2019.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Possidónio, C, Graça, J, Piazza, J & Prada, M 2019, 'Animal Images Database: Validation of 120 Images for Human-Animal Studies', Animals, vol. 9, no. 8, 475. https://doi.org/10.3390/ani9080475

APA

Possidónio, C., Graça, J., Piazza, J., & Prada, M. (2019). Animal Images Database: Validation of 120 Images for Human-Animal Studies. Animals, 9(8), Article 475. https://doi.org/10.3390/ani9080475

Vancouver

Possidónio C, Graça J, Piazza J, Prada M. Animal Images Database: Validation of 120 Images for Human-Animal Studies. Animals. 2019 Jul 24;9(8):475. doi: 10.3390/ani9080475

Author

Possidónio, Catarina ; Graça, João ; Piazza, Jared et al. / Animal Images Database : Validation of 120 Images for Human-Animal Studies. In: Animals. 2019 ; Vol. 9, No. 8.

Bibtex

@article{23767d32c9c044959e5375166f33af27,
title = "Animal Images Database: Validation of 120 Images for Human-Animal Studies",
abstract = "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, M Age = 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. ",
author = "Catarina Possid{\'o}nio and Jo{\~a}o Gra{\c c}a and Jared Piazza and Mar{\'i}lia Prada",
year = "2019",
month = jul,
day = "24",
doi = "10.3390/ani9080475",
language = "English",
volume = "9",
journal = "Animals",
issn = "2076-2615",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "8",

}

RIS

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

PY - 2019/7/24

Y1 - 2019/7/24

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, M Age = 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, M Age = 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.

U2 - 10.3390/ani9080475

DO - 10.3390/ani9080475

M3 - Journal article

VL - 9

JO - Animals

JF - Animals

SN - 2076-2615

IS - 8

M1 - 475

ER -