Continuação do FIM – Normas de valência e familiaridade das imagens do Ficheiro de Imagens Multicategoriais

Prada, Marília; Cunha, Cátia Sofia Soares da; Garcia‐Marques, Teresa; Rodrigues, David L.

doi:10.14417/lp.641

Cited by 5 publications

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“…Already in 1999, Proctor and Vu provided an index of norms and ratings published in the Psychonomic Society journals between 1965 and 1999, which included 142 sets, mostly of verbal materials. We can also find normative data for a variety of visual stimuli, from simple line-drawing sets (e.g., Cycowicz, Friedman, Rothstein, & Snodgrass, 1997;Snodgrass & Vanderwart, 1980) to complex real-life pictures depicting a broad range of contents, such as people, animals, or objects (e.g., Dan-Glauser & Scherer, 2011;Lang, Bradley, & Cuthbert, 2008;Marchewka, Zurawski, Jednorog, & Grabowska, 2013;Prada, Cunha, Garcia-Marques, & Rodrigues, 2010). A considerable number of databases with normative ratings of human faces are also available in the literature (e.g., Ebner, Riediger, & Lindenberger, 2010;Goeleven, De Raedt, Leyman, & Verschuere, 2008;Langner et al, 2010).…”

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Lisbon Symbol Database (LSD): Subjective norms for 600 symbols

et al. 2015

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This article presents subjective rating norms for a new set of 600 symbols, depicting various contents (e.g., transportation, technology, and leisure activities) that can be used by researchers in different fields. Symbols were evaluated for aesthetic appeal, familiarity, visual complexity, concreteness, valence, arousal, and meaningfulness. The normative data were obtained from 388 participants, and no gender differences were found. Descriptive results (means, standard deviations, and confidence intervals) for each symbol in each dimension are presented. Overall, the dimensions were highly correlated. Additionally, participants were asked to briefly describe the meaning of each symbol. The results indicate that the present symbol set is varied, allowing for the selection of exemplars with different levels on the seven examined dimensions. This set of symbols constitutes a tool with potential for research in different areas. The database with all of the symbols is available as supplemental materials.

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Lisbon Symbol Database (LSD): Subjective norms for 600 symbols

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“…Estas normas, sendo referentes a imagens negativas, estendem o conjunto de normas já existente em termos de valência e familiaridade (Prada et al, 2010) e informa adicionalmente sobre as emoções de medo e nojo a elas associadas. Trabalhos futuros deverão preocupar-se com a extensão dessas normas de imagens positivas a estas e outras dimensões.…”

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“…Existem também algumas normas de imagens aferidas com amostras portuguesas como o Ficheiro de Imagens Multi-Categoriais (FIM; Prada & Garcia-Marques, 2006;Prada, Cunha, Garcia-Marques, & Rodrigues, 2010), que inclui 495 imagens ilustrativas de várias categorias de seres vivos (e.g., pessoas, animais, plantas, frutos, etc.) e objectos (e.g., veículos, material de escritório, vestuário, brinquedos, etc.).…”

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“…Porém, à semelhança das normas originais do IAPS, também estas imagens não foram avaliadas quanto ao seu potencial para activar uma emoção específica, focando-se apenas as dimensões de valência e familiaridade. Por outro lado, estas normas oferecem escassas possibilidade no que diz respeito à selecção de estímulos negativos -apenas cerca de 10% das imagens são descritas como negativas (Prada et al, 2010).…”

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Se correr o bicho pega... Normas de avaliação de imagens de animais negativos

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et al. 2014

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ResumoNeste trabalho apresentamos as normas de valência, familiaridade, medo, nojo (i.e., bee, gecko, centipede, mouse and cockroach) or non-domestic Laboratório de Psicologia, 12(1): 41-56 (2014) Abstract In this paper we present the norms for a set of 50 images of animals that were evaluated by a total sample of 78 college students regarding the following dimensions: valence, familiarity, fear, disgust and dangerousness. Ten categories of animals were selected based on the assumption of their negativity and association to emotions such as fear and disgust and included images of animals likely to be found either in a domestic ISPA -Instituto UniversitárioO presente artigo foi preparado com o apoio da Fundação Bial no âmbito do projecto #172/10 coordenado pot Teresa GarciaMarques.A correspondência relativa a este artigo deverá ser enviada para:

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“…Valence indicates to what extent an image elicits different degrees of pleasant-unpleasant emotionality (Prada et al, 2014;Russell, 1980). Valence is positively correlated with familiarity, typicality and arousal (Foroni et al, 2013;Prada et al, 2010Prada et al, , 2018-independently of the item category-and also with aesthetic appeal and visual complexity (Prada et al, 2016), emphasizing the relevance of its inspection in real-world pictures.…”

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RealPic: Picture norms of real-world common items

et al. 2021

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Pictures are often used as stimuli in several fields, such as psychology and neuroscience. However, co-occurring image-related properties might impact their processing, emphasizing the importance of validating such materials to guarantee the quality of research and professional practices. This is particularly relevant for pictures of common items because of their wide applicability potential. Normative studies have already been conducted to create and validate such pictures, yet most of them focused on stimulus without naturalistic elements (e.g., line drawings). Norms for real-world pictures of common items are rare, and their normative examination does not always simultaneously assess affective, semantic and perceptive dimensions, namely in the Portuguese context. Real-world pictures constitute pictorial representations of the world with realistic details (e.g., natural color or position), thus improving their ecological validity and their suitability for empirical studies or intervention purposes. Consequently, the establishment of norms for real-world pictures is mandatory for exploring their ecological richness and to uncover their impact across several relevant dimensions. In this study, we established norms for 596 real-world pictures of common items (e.g., tomato, drum) selected from existing databases and distributed into 12 categories. The pictures were evaluated on nine dimensions by a Portuguese sample. The results present the norms by item, by dimension and their correlations as well as cross-cultural analyses. RealPic is a culturally based dataset that offers systematic and flexible standards and is suitable for selecting stimuli while controlling for confounding effects in empirical tasks and interventional applications.Keywords Norms . Real-world pictures . Affective . Perceptive . Semantic . Cross-cultural analysis Pictures are often used as visual stimuli to access or even improve psychological processes (e.g., Brady et al., 2008;Caramazza & Konkle, 2013). However, pictures are complex stimuli, and their characteristics may influence several cognitive and affective processes (Boukadi et al., 2016;Reppa & McDougall, 2015). Therefore, their careful production and validation are essential to guarantee the quality of experimental and interventional designs and to provide comparable results across studies (see Snodgrass & Vanderwart, 1980). Specifically, the assessment of pictures and their characteristics permits the control of their impact on psychological processes, enabling the systematic manipulation of their relevant properties while reducing bias introduced by similar/ correlated dimensions (Brodeur et al., 2010;Snodgrass & Vanderwart, 1980).Critically, validation endeavors require time and precise procedures. In order to overcome this time-consuming task, several databases have been produced and made available to the scientific community. The seminal work by Snodgrass and Vanderwart (1980) constitutes one of the first/most wellknown databases. Subsequently, several studies replicated and exte...

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Continuação do FIM – Normas de valência e familiaridade das imagens do Ficheiro de Imagens Multicategoriais

Cited by 5 publications

References 14 publications

Lisbon Symbol Database (LSD): Subjective norms for 600 symbols

Lisbon Symbol Database (LSD): Subjective norms for 600 symbols

Se correr o bicho pega... Normas de avaliação de imagens de animais negativos

RealPic: Picture norms of real-world common items

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