语言差异对跨通道情绪启动效应的影响

采用跨通道启动范式,探讨言语与面孔情绪加工的相互影响效应,以及语言差异（母语：汉语;非母语：英语）在其中的影响作用。实验1以言语情绪词为启动刺激,面孔情绪为目标刺激,结果发现,相比于英语启动刺激条件,在汉语启动刺激条件下的面孔情绪判断具有更好的表现;在积极情绪启动条件下,言语情绪刺激能够启动面孔情绪刺激。实验2以面孔情绪为启动刺激,言语情绪词为目标刺激,结果发现,相比于英语目标刺激条件,在汉语目标刺激条件下的言语情绪判断具有更好的表现;在积极情绪启动条件下,面孔情绪刺激能够启动言语情绪刺激。研究结果表明,言语情绪与面孔情绪的加工能够相互影响,但这种相互关系仅表现在积极情绪启动条件下。此外,母语和非母语在情绪功能上具有差异性。     

藏语母语者汉语词汇识别的眼动研究

采用眼动技术,通过两个实验考察了藏语母语者在不同语境中阅读汉语句子时,字形、语音信息在词汇识别中分别发挥的作用以及词频效应。结果发现：（1）在高限制性句子语境中,字形和语音共同作用;（2）在低限制性句子语境中,语音作用显著;（3）词频效应出现在高限制性语境的晚期,以及低限制性语境的中期和晚期。该结果表明,在藏语母语者阅读汉语的过程中,句子语境影响词汇识别过程中字形、语音的作用及作用的时间进程,藏语母语者汉语词汇识别符合双通道理论。     

Parts and wholes in person recognition: developmental trends

This study's aim is the investigation of short-term visual person recognition in 8- and 10-year-olds and adults, within the part-whole paradigm introduced by. Natural unfamiliar whole persons were contrasted with natural unfamiliar faces to test for differences between person processing and face processing. Two experiments showed advantages of whole face recognition over isolated face feature recognition. Also, these was a complete over part probe advantage (CPA, ) for person recognition in all age groups. Thus, recognition became more accurate between 8 years and adulthood, but no developmental shift in visual information processing was observable with face and whole person recognition. I conclude that person recognition does not rely on processes completely different from those of face recognition and that this holds for 8- and 10-year-olds as well as for adults.     

Sex differences in judgement of facial affect: a multivariate analysis of recognition errors

The present paper investigated recognition errors in affective judgement of facial emotional expressions. Twenty-eight females and sixteen males participated in the study. The results showed that in both males and females emotional displays could be correctly classified, but females had a higher rate of correct classification; males were more likely to have difficulty distinguishing one emotion from another. Females rated emotions identically regardless of whether the emotion was displayed by a male or female face. Furthermore, the two-factor structure of emotion, based on a valence and an arousal dimension, was only present for female subjects. These results further extend our knowledge about gender differences in affective information processing.     

Ratings of emotion in laterally presented faces: sex and handedness effects

Sixteen right-handed participants (8 male and 8 female students) and 16 left-handed participants (8 male and 8 female students) were presented with cartoon faces expressing emotions ranging from extremely positive to extremely negative. A forced-choice paradigm was used in which the participants were asked to rate the faces as either positive or negative. Compared to men, women rated faces more positively, especially in response to right visual field presentations. Women rated neutral and mildly positive faces more positively in the right than in the left visual field, whereas men rated these faces consistently across visual fields. Handedness did not affect the ratings of emotion. The data suggest a positive emotional bias of the left hemisphere in women.     

Facilitative orthographic neighborhood effects: the SERIOL model account

A large orthographic neighborhood (N) facilitates lexical decision for central and left visual field/right hemisphere (LVF/RH) presentation, but not for right visual field/left hemisphere (RVF/LH) presentation. Based on the SERIOL model of letter-position encoding, this asymmetric N effect is explained by differential activation patterns at the orthographic level. This analysis implies that it should be possible to negate the LVF/RH N effect and create an RVF/LH N effect by manipulating contrast levels in specific ways. In Experiment 1, these predictions were confirmed. In Experiment 2, we eliminated the N effect for both LVF/RH and central presentation. These results indicate that the letter level is the primary locus of the N effect under lexical decision, and that the hemispheric specificity of the N effect does not reflect differential processing at the lexical level.     

Determinants of capacious memory: a process-dissociation and experiential approach

The aim of this study is to delineate some important circumstances where exceptionally good memory performance, or capacious memory occurs. A further aim is to study memory processes involved in this memory phenomenon. In a first experiment, participants looked through two series of pictures differing in number and were evaluated in two-alternative forced-choice and yes-no recognition memory tasks combined in a process-dissociation procedure. Moreover, participants were asked to provide remember and know responses to tap recollective experience. The results as to forced-choice recognition task accuracy and according to process-dissociation procedure estimates were replicated in a second experiment with a more intrinsic contextual manipulation, and in a third, forgetting experiment. In addition to replicating previous findings, the results show (a) that capacious memory is associated with strong feelings of recollection; and (b) that familiarity (in terms of the process-dissociation framework) contributes to this phenomenon.     

Spoken Idiom Recognition: Meaning Retrieval and Word Expectancy

This study investigates recognition of spoken idioms occurring in neutral contexts. Experiment 1 showed that both predictable and non-predictable idiom meanings are available at string offset. Yet, only predictable idiom meanings are active halfway through a string and remain active after the string’s literal conclusion. Experiment 2 showed that the initial fragment of a predictable idiom inhibits recognition of a word providing a congruous, but literal, conclusion to the expression. No comparable effects were obtained with non-predictable idioms. These findings are consistent with the view that spoken idiom identification differs from word recognition and occurs word-by-word, just as with other familiar, multi-lexical phrases.The present study was supported by PRIN 2003–2004. We would like to thank Corrado Cavallero, Simona Collina, Melinda Tucker and Francesco Zardon for their valuable help.     

How Should a Speech Recognizer Work?

Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) share a common interest in how information processing systems (human or machine) recognize spoken language, there is little communication between the two disciplines. We suggest that this lack of communication follows largely from the fact that research in these related fields has focused on the mechanics of how speech can be recognized. In Marr's (1982) terms, emphasis has been on the algorithmic and implementational levels rather than on the computational level. In this article, we provide a computational-level analysis of the task of speech recognition, which reveals the close parallels between research concerned with HSR and ASR. We illustrate this relation by presenting a new computational model of human spoken-word recognition, built using techniques from the field of ASR that, in contrast to current existing models of HSR, recognizes words from real speech input.