The China Image Set (CIS): A New Set of 551 Colored Photos With Chinese Norms for 12 Psycholinguistic Variables

Abstract

Normative image sets are widely used in memory, perception, and language studies. Following the pioneering work of Snodgrass and Vanderwart (1980), a number of normalized image sets with various language norms have been created. However, original image sets that are carefully selected to accommodate Chinese culture and language are still in short supply. In the present study, we provided the China Image Set (CIS), a new set of photo stimuli with Chinese norms. The CIS consists of 551 high-quality colored photo stimuli that cover 21 categories and are normalized on 12 different variables, including name agreement, category agreement, familiarity, visual complexity, object manipulability, manipulation experience, color diagnosticity, shape diagnosticity, image variability, age of acquisition, image agreement, and within-category typicality. Of the 12 variables, shape diagnosticity and manipulation experience with the object depicted in a stimulus are the two newly introduced and normalized variables. Multiple regression analysis reveals that name agreement, age of acquisition, image agreement, shape diagnosticity, and image variability are the most robust determinants of picture naming latency. Our normative dataset of the high-quality photo stimuli offers an ecologically more valid tool to study object recognition and language processing within Chinese culture than has previously been available.

Standardizing norms for 180 coloured Snodgrass and Vanderwart pictures in Kannada language

“…Image agreement (IA) refers to the extent to which a given picture resembles an individual’s visual mental representation of a given object. It plays a key role [ 4 – 6 ] in accessing the perceptual representation of objects [ 7 ] whereby picture stimuli with high image agreement are named faster than those with low image agreement [ 4 , 8 – 11 ]. Name agreement (NA) describes how much people agree on the dominant name for a pictured item.…”

Spontaneous quantitative processing in Chinese singular and plural picture naming: An event-related potentials analysis

“…The linguistic stimuli were 66 concrete, countable, inanimate, and different objects, which were adopted from the Ni’picture database ( Ni et al, 2019 ; Supplementary Appendix 1 ). They consisted of two types of pictures: 33 pictures representing one object (singular pictures) and 33 pictures representing three objects (plural pictures).…”

Emojis en Tareas de Categorización. Una Nueva Forma de Evaluar el Conocimiento Conceptual

“…Durante los últimos años y con el avance de la tecnología, muchos investigadores decidieron desarrollar diferentes sets fotográficos que usaron tanto con adultos (Adlington et al, 2009;Brodeur et al, 2010;Decuyper et al, 2021;Krautz y Keuleers, 2021;Martínez et al, 2020;Moreno-Martínez y Montoro, 2012;Ni et al, 2019;Russo et al, 2018;Saryazdi et al, 2018) como con niños (Martínez et al, 2020;Martínez y Matute, 2019). A diferencia de los dibujos, las fotografías representan en forma más realista al concepto e incluyen propiedades de superficie como la textura, el brillo y la sombra (Martínez y Matute, 2019).…”