Individual differences and memory for faces, pictures, and words
نویسندگان
چکیده
منابع مشابه
Individual Differences and Lexical Learning: Links to memory for faces, things, and words
The Lexical Quality Hypothesis (Perfetti & Hart, 2002) suggests that the difficulties exhibited by poor readers cascade from deficient (impoverished, fuzzy) representations of phonological, semantic, and orthographic dimensions in lexical memory. If so, readers, even as adults, should vary in their ability to acquire new lexical representations. In our study, we examine the role of cross-modal ...
متن کاملPriming and habituation for faces: Individual differences and inversion effects.
Immediate repetition priming for faces was examined across a range of prime durations in a threshold identification task. Similar to word repetition priming results, short duration face primes produced positive priming whereas long duration face primes eliminated or reversed this effect. A habituation model of such priming effects predicted that the speed of identification should relate to the ...
متن کاملDepth of Processing Pictures of Faces and Recognition Memory
These studies ask whether S remembers a picture better the greater the "depth of processing" he allots to it. Depth of processing pictures of faces was varied according to judgments of sex ("superficial") or judgments of likableness or honesty of the person pictured. Performance on a later recognition memory test was high for pictures judged for likableness or honesty, and low for pictures judg...
متن کاملDifferences in word associations to pictures and words.
Normal subjects were asked to produce the "first word that comes to mind" in response to pictures or words that differed with respect to manipulability and animacy. In separate analyses across subjects and items, normal subjects produced a significantly higher proportion of action words (that is, verbs) to pictures as compared to words, to manipulable as compared to non-manipulable stimuli and ...
متن کاملMatching Words and Pictures
We present a new approach for modeling multi-modal data sets, focusing on the specific case of segmented images with associated text. Learning the joint distribution of image regions and words has many applications. We consider in detail predicting words associated with whole images (auto-annotation) and corresponding to particular image regions (region naming). Auto-annotation might help organ...
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ژورنال
عنوان ژورنال: Memory & Cognition
سال: 1981
ISSN: 0090-502X,1532-5946
DOI: 10.3758/bf03197561