![]() ![]() Numerous studies have indicated that pictures with high name agreement have shorter naming latency (e.g., Snodgrass and Yuditsky, 1996 Barry et al., 1997 Ellis and Morrison, 1998 Cuetos et al., 1999 Bonin et al., 2002 Pind and Tryggvadóttir, 2002 Alario et al., 2004 Severens et al., 2005 Weekes et al., 2007 Liu et al., 2011) and shorter object comprehension latency (e.g., Bonin et al., 2013) than those with low name agreement. ![]() Name agreement indicates the degree to which people agree on the dominant name of a specific object. Pioneering Work of Snodgrass and Vanderwart ( 1980) 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.ġ.1. 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. Of the 12 variables, shape diagnosticity and manipulation experience with the object depicted in a stimulus are the two newly introduced and normalized variables. 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. In the present study, we provided the China Image Set (CIS), a new set of photo stimuli with Chinese norms. However, original image sets that are carefully selected to accommodate Chinese culture and language are still in short supply. Following the pioneering work of Snodgrass and Vanderwart ( 1980), a number of normalized image sets with various language norms have been created. Normative image sets are widely used in memory, perception, and language studies. ![]()
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