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(Pea)nuts and bolts of visual narrative: Structure and meaning in sequential image comprehension

机译:(豌豆)螺母和视觉叙事的螺栓:序贯图像理解中的结构和意义

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摘要

Just as syntax differentiates coherent sentences from scrambled word strings, the comprehension of sequential images must also use a cognitive system to distinguish coherent narrative sequences from random strings of images. We conducted experiments analogous to two classic studies of language processing to examine the contributions of narrative structure and semantic relatedness to processing sequential images. We compared four types of comic strips: 1) Normal sequences with both structure and meaning, 2) Semantic Only sequences (in which the panels were related to a common semantic theme, but had no narrative structure), 3) Structural Only sequences (narrative structure but no semantic relatedness), and 4) Scrambled sequences of randomly-ordered panels. In Experiment 1, participants monitored for target panels in sequences presented panel-by-panel. Reaction times were slowest to panels in Scrambled sequences, intermediate in both Structural Only and Semantic Only sequences, and fastest in Normal sequences. This suggests that both semantic relatedness and narrative structure offer advantages to processing. Experiment 2 measured ERPs to all panels across the whole sequence. The N300/N400 was largest to panels in both the Scrambled and Structural Only sequences, intermediate in Semantic Only sequences and smallest in the Normal sequences. This implies that a combination of narrative structure and semantic relatedness can facilitate semantic processing of upcoming panels (as reflected by the N300/N400). Also, panels in the Scrambled sequences evoked a larger left-lateralized anterior negativity than panels in the Structural Only sequences. This localized effect was distinct from the N300/N400, and appeared despite the fact that these two sequence types were matched on local semantic relatedness between individual panels. These findings suggest that sequential image comprehension uses a narrative structure that may be independent of semantic relatedness. Altogether, we argue that the comprehension of visual narrative is guided by an interaction between structure and meaning.
机译:正如语法区分从加扰字符串的相干句子,顺序图像的理解还必须使用认知系统来区分从图像的随机串的相干叙述序列。我们进行了类似于两种语言处理的经典研究,以检查叙事结构和语义相关性的贡献,以处理顺序图像。我们比较了四种类型的漫画条:1)结构和含义的正常序列,2)语义仅序列(其中面板与常见的语义主题有关,但没有叙述结构),3)结构仅限序列(叙述结构但没有语义相关性)和4)随机有序面板的扰乱序列。在实验1中,在逐板呈现序列中监测目标面板的参与者。对扰序中的阴板最慢的反应时间,在结构仅和语义上的中间体中中间体,并且在正常序列中最快。这表明两个语义相关性和叙事结构都提供了处理的优势。实验2以整个序列的所有面板测量ERP。 N300 / N400在扰乱和结构仅序列中最大的面板,仅在语义中中间的序列和正常序列中最小。这意味着叙事结构和语义相关性的组合可以促进即将到来的面板的语义处理(如N300 / N400的反射)。此外,扰序序列中的面板诱发比结构序列中的面板更大的左侧左侧消极。这种局部效果与N300 / N400不同,尽管这两个序列类型符合各个面板之间的局部语义相关性匹配。这些发现表明,顺序图像理解使用可能与语义相关性无关的叙事结构。完全,我们争辩说,视觉叙述的理解是由结构与意义之间的互动指导。

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