Verbal facilitation effects instead of verbal overshadowing in face memory of 4- to 6-year olds

Research on eye witness memory in older children and adults revealed that verbally describing unfamiliar faces impairs later recognition of these faces, known as the “verbal overshadowing effect”. The aim of this study was to investigate whether a verbal overshadowing effect occurs in 4- to 6-year olds, too, and whether visualization (i.e., drawing the seen face) might elicit a visual overshadowing effect. Instead of a verbal overshadowing effect, a verbal facilitation effect was revealed with verbal intelligence being a significant predictor for recognition accuracy in the verbalization group but not in the control group. No effect of visualization was observed on recognition accuracy. Potential explanations for the results are discussed.     

语词遮蔽效应的研究及其理论

语词遮蔽效应（verbal overshadowing effect,VOE）是指语词化描述对非语言认知的阻碍效应。研究者发现影响语词遮蔽效应的因素有：时间因素、言语描述任务、分心任务、再认测验、个体差异等。现有的有关语词遮蔽效应的解释理论有三种：记录干扰理论、不合适的加工转换迁移理论和标准转换理论。未来的研究应着重探讨言语描述影响了知觉内容还是提取线索等内容     

Perceptual and conceptual training mediate the verbal overshadowing effect in an unfamiliar domain

Describing memory for a nonverbal perceptual stimulus can impair recognition. This verbal overshadowing effect may occur when perceptual expertise exceeds verbal expertise, but previous evidence for this hypothesis has been strictly correlational. We conducted two experiments, exploring the relation between expertise and verbal overshadowing by manipulating perceptual and conceptual knowledge. Participants received perceptual training (categorizing mushrooms), conceptual training (lecture), or no training, then viewed a mushroom and described it or not. A recognition test followed. In Experiment 1, perceptual training increased susceptibility to verbalization relative to the no training condition. However, conceptual training did not insulate individuals from the verbal overshadowing effect. Experiment 2 was modified to enhance both forms of training. It replicated the finding that perceptual training increases vulnerability to verbal overshadowing, and indicated that, when sufficiently emphasized, verbalization may be useful following conceptual training. The results demonstrate the role that different forms of learning and expertise may play in mediating language influences on recognition memory.     

Verbal overshadowing of visual memories: some things are better left unsaid

It is widely believed that verbal processing generally improves memory performance. However, in a series of six experiments, verbalizing the appearance of previously seen visual stimuli impaired subsequent recognition performance. In Experiment 1, subjects viewed a videotape including a salient individual. Later, some subjects described the individual's face. Subjects who verbalized the face performed less well on a subsequent recognition test than control subjects who did not engage in memory verbalization. The results of Experiment 2 replicated those of Experiment 1 and further clarified the effect of memory verbalization by demonstrating that visualization does not impair face recognition. In Experiments 3 and 4 we explored the hypothesis that memory verbalization impairs memory for stimuli that are difficult to put into words. In Experiment 3 memory impairment followed the verbalization of a different visual stimulus: color. In Experiment 4 marginal memory improvement followed the verbalization of a verbal stimulus: a brief spoken statement. In Experiments 5 and 6 the source of verbally induced memory impairment was explored. The results of Experiment 5 suggested that the impairment does not reflect a temporary verbal set, but rather indicates relatively long-lasting memory interference. Finally, Experiment 6 demonstrated that limiting subjects' time to make recognition decisions alleviates the impairment, suggesting that memory verbalization overshadows but does not eradicate the original visual memory. This collection of results is consistent with a recording interference hypothesis: verbalizing a visual memory may produce a verbally biased memory representation that can interfere with the application of the original visual memory.     

Environmental context-dependent eyewitness recognition

The present study helped resolve the apparent conflict between many laboratory list-learning studies, which have not found environmental context-dependent recognition memory, and staged field studies (e.g. Malpass and Devine, 1981), whose results with ‘guided memory’ techniques suggest that eyewitness face recognition should depend upon environmental context reinstatement. It was found in two different experiments that, relative to testing in a new place, returning participants to the environment where a live staged event had occurred improved performance on identification of a confederate's face (i.e., hit rate). Although physical reinstatement improved identification performance in Experiment 1, mental reinstatement instructions to subjects tested in a new environment did not improve identification performance over an uninstructed group. The environmental reinstatement effect did not interact with test delay or confederate. In Experiment 2 it was found that environmental reinstatement improved accuracy (hit rate and foil identification rate) when the correct target was present in the test line-up, and that false identifications were not significantly affected by contextual manipulations when the correct target was absent from the line-up. The results provide an empirical basis for the hypothesis that returning to the scene of an event improves eyewitness face recognition.     

Semantic interpretation effects on memory for faces

Five experiments investigated the effects of semantically interpreting faces on their recognition. Experiment 1 demonstrated that faces could meaningfully be related to occupational categories. In Experiments 2–5, each of a set of faces was presented with either the label of a congruent occupational category or a noncongruent label. Presenting a face with a congruent occupational label was found to enhance recognition that the face had previously been seen (Experiments 2–4), but congruent labeling also impaired the detection of distractor faces that matched previously seen faces’ categories (Experiments 3 and 4). In a forced-choice recognition test, in which distractors were highly similar to originally seen faces, congruent occupational labeling failed to increase recognition of previously seen faces (Experiment 5). These results indicate that interpreting faces, with respect to stereotyped categories, ratherthan improving a physical codein memory, led to theformation of a semantic code, which increased recognition of old items at the expense of the detection of new items. Another general finding was that faces that were rated more stereotypical were more recognizable, regardless of the accompanying label.     

Face recognition as a predictor of social cognitive ability: Effects of emotion and race on face processing

The human face conveys important social signals when people interact in social contexts. The current study investigated the relationship between face recognition and emotional intelligence, and how societal factors of emotion and race influence people's face recognition. Participants’ recognition accuracy, reaction time, sensitivity, and response bias were measured to examine their face‐processing ability. Fifty Caucasian undergraduates (38 females, 12 males; average age = 21.76 years) participated in a face recognition task in which they discriminated previously presented target faces from novel distractor faces. A positive correlation between participants’ emotional intelligence scores and their performance on the face recognition task was observed, suggesting that face recognition ability was associated with emotional or social intelligence. Additionally, Caucasian participants recognized happy faces better than angry or neutral faces. It was also observed that people recognized Asian faces better than Caucasian ones, which appears to be contradictory to the classic other‐race effect. The present study suggests that some societal factors could influence face processing, and face recognition ability could in turn predict social intelligence.