Individual Differences In Recognition Research Articles

Implicit learning and individual differences in speech recognition: an exploratory study.

Individual differences in speech recognition in challenging listening environments are pronounced. Studies suggest that implicit learning is one variable that may contribute to this variability. Here, we explored the unique contributions of three indices of implicit learning to individual differences in the recognition of challenging speech. To this end, we assessed three indices of implicit learning (perceptual, statistical, and incidental), three types of challenging speech (natural fast, vocoded, and speech in noise), and cognitive factors associated with speech recognition (vocabulary, working memory, and attention) in a group of 51 young adults. Speech recognition was modeled as a function of the cognitive factors and learning, and the unique contribution of each index of learning was statistically isolated. The three indices of learning were uncorrelated. Whereas all indices of learning had unique contributions to the recognition of natural-fast speech, only statistical learning had a unique contribution to the recognition of speech in noise and vocoded speech. These data suggest that although implicit learning may contribute to the recognition of challenging speech, the contribution may depend on the type of speech challenge and on the learning task.

Pathways Into Psychosocial Adjustment in Children: Modeling the Effects of Trait Emotional Intelligence, Social-Emotional Problems, and Gender.

Trait Emotional intelligence (Trait EI) can be understood as a personality trait related to individual differences in recognition, processing, and the regulation of emotionally charged information. Trait EI has been considered a variable of great importance in determining psychosocial adjustment. However, most research on Trait EI has focused on adult and adolescent populations, while very few studies have explored its influence on children. The aim of this study was to analyze possible pathways into psychosocial adjustment in children by examining the combined effects of Trait EI and emotional and social problems. It also aimed to assess the possible mediating role of gender in this relationship. A total of 268 Spanish children participated in this study, ranging in age from 8 to 12 years (mean age = 10.09, SD = 1.32, 45.10% male). Selected measures were applied through a web-based survey called DetectaWeb. The regression and mediation/moderation analyses confirmed that psychosocial adjustment in children was determined by Trait EI directly and by emotional and social problems in an indirect way. Together, the three variables explained 46% of the variance in psychosocial adjustment, although Trait EI was the most powerful predictor (44%), demonstrating incremental validity over and above social and emotional problems. In addition, gender was shown to be a moderating variable between Trait EI and psychosocial adjustment; for girls specifically, lower Trait EI scores were a determinant of lower levels of psychosocial adjustment, regardless of emotional and social problems. It can be concluded that the identified pathways provide keys for emotional education interventions aimed at promoting psychosocial adjustment, well-being, and good mental health among children. Our findings support the buffer role of Trait EI against maladjustment risk in children, but more clearly in girls.

Adaptive face coding contributes to individual differences in facial expression recognition independently of affective factors.

There are large, reliable individual differences in the recognition of facial expressions of emotion across the general population. The sources of this variation are not yet known. We investigated the contribution of a key face perception mechanism, adaptive coding, which calibrates perception to optimize discrimination within the current perceptual "diet." We expected that a facial expression system that readily recalibrates might boost sensitivity to variation among facial expressions, thereby enhancing recognition ability. We measured adaptive coding strength with an established facial expression aftereffect task and measured facial expression recognition ability with 3 tasks optimized for the assessment of individual differences. As expected, expression recognition ability was positively associated with the strength of facial expression aftereffects. We also asked whether individual variation in affective factors might contribute to expression recognition ability, given that clinical levels of such traits have previously been linked to ability. Expression recognition ability was negatively associated with self-reported anxiety but not with depression, mood, or degree of autism-like or empathetic traits. Finally, we showed that the perceptual factor of adaptive coding contributes to variation in expression recognition ability independently of affective factors. (PsycINFO Database Record

Relationship of Grammatical Context on Children's Recognition of s/z-Inflected Words.

Access to aided high-frequency speech information is currently assessed behaviorally using recognition of plural monosyllabic words. Because of semantic and grammatical cues that support word+morpheme recognition in sentence materials, the contribution of high-frequency audibility to sentence recognition is less than that for isolated words. However, young children may not yet have the linguistic competence to take advantage of these cues. A low-predictability sentence recognition task that controls for language ability could be used to assess the impact of high-frequency audibility in a context that more closely represents how children learn language. To determine if differences exist in recognition of s/z-inflected monosyllabic words for children with normal hearing (CNH) and children who are hard of hearing (CHH) across stimuli context (presented in isolation versus embedded medially within a sentence that has low semantic and syntactic predictability) and varying levels of high-frequency audibility (4- and 8-kHz low-pass filtered for CNH and 8-kHz low-pass filtered for CHH). A prospective, cross-sectional design was used to analyze word+morpheme recognition in noise for stimuli varying in grammatical context and high-frequency audibility. Low-predictability sentence stimuli were created so that the target word+morpheme could not be predicted by semantic or syntactic cues. Electroacoustic measures of aided access to high-frequency speech sounds were used to predict individual differences in recognition for CHH. Thirty-five children, aged 5-12 yrs, were recruited to participate in the study; 24 CNH and 11 CHH (bilateral mild to severe hearing loss) who wore hearing aids (HAs). All children were native speakers of English. Monosyllabic word+morpheme recognition was measured in isolated and sentence-embedded conditions at a +10 dB signal-to-noise ratio using steady state, speech-shaped noise. Real-ear probe microphone measures of HAs were obtained for CHH. To assess the effects of high-frequency audibility on word+morpheme recognition for CNH, a repeated-measures ANOVA was used with bandwidth (8 kHz, 4 kHz) and context (isolated, sentence embedded) as within-subjects factors. To compare recognition between CNH and CHH, a mixed-model ANOVA was completed with context (isolated, sentence-embedded) as a within-subjects factor and hearing status as a between-subjects factor. Bivariate correlations between word+morpheme recognition scores and electroacoustic measures of high-frequency audibility were used to assess which measures might be sensitive to differences in perception for CHH. When high-frequency audibility was maximized, CNH and CHH had better word+morpheme recognition in the isolated condition compared with sentence-embedded. When high-frequency audibility was limited, CNH had better word+morpheme recognition in the sentence-embedded condition compared with the isolated condition. CHH whose HAs had greater high-frequency speech bandwidth, as measured by the maximum audible frequency, had better word+morpheme recognition in sentences. High-frequency audibility supports word+morpheme recognition within low-predictability sentences for both CNH and CHH. Maximum audible frequency can be used to estimate word+morpheme recognition for CHH. Low-predictability sentences that do not contain semantic or grammatical context may be of clinical use in estimating children's use of high-frequency audibility in a manner that approximates how they learn language.

‘Faceness’ and affectivity: Evidence for genetic contributions to distinct components of electrocortical response to human faces

The ability to recognize a variety of different human faces is undoubtedly one of the most important and impressive functions of the human perceptual system. Neuroimaging studies have revealed multiple brain regions (including the FFA, STS, OFA) and electrophysiological studies have identified differing brain event-related potential (ERP) components (e.g., N170, P200) possibly related to distinct types of face information processing. To evaluate the heritability of ERP components associated with face processing, including N170, P200, and LPP, we examined ERP responses to fearful and neutral face stimuli in monozygotic (MZ) and dizygotic (DZ) twins. Concordance levels for early brain response indices of face processing (N170, P200) were found to be stronger for MZ than DZ twins, providing evidence of a heritable basis to each. These findings support the idea that certain key neural mechanisms for face processing are genetically coded. Implications for understanding individual differences in recognition of facial identity and the emotional content of faces are discussed.

Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits

Adults show remarkable individual variation in the ability to detect felt enjoyment in smiles based on the Duchenne marker (Action Unit 6). It has been hypothesized that perceptual and attentional factors (possibly correlated to autistic-like personality traits in the normative range) play a major role in determining individual differences in recognition performance. Here, this hypothesis was tested in a sample of 100 young adults. Eye-tracking methodology was employed to assess patterns of visual attention during a smile recognition task. Results indicate that neither perceptual–attentional factors nor autistic-like personality traits contribute appreciably to individual differences in smile recognition.

Tačnost procene laganja i neverbalnih ponašanja koja indikuju laž i obmanjivanje

U radu je prezentovano istraživanje u kome je učestvovalo 90 subjekata,, studenata Kriminalističko policijske akademije u Zemunu. Deset studenta prve godine studija (6 mladića i 4 devojke) učestovalo je u prvoj fazi u kojoj je pripremljen video materijal koji je kasnije korišćen u samom istraživanju. Uzorak ispitanika činilo je 80 studenata treće i četvrte godine (58 muškaraca i 22 žene starosti između 21-25 godina), koji su imali zadatak da nakon gledanja 10 video klipova (od kojih 5 prikazuju osobu koja govori istinu, a 5 osobu koja govori laž) procene učestalost neverbalnih ponašanja osoba sa snimaka, kao i da daju svoje mišljenje o tome da li je osoba govorila istinu ili laž. Rezultati istraživanja pokazali su da je uspešnost studenata Kriminalističko policijske akademije u proceni istinitosti iskaza bila manja od procene na osnovu slučajnog pogađanja. Utvrđeno je da među ispitanicima postoje izražene individualne razlike u prepoznavanju laganja. Pokazano je da ispitanici koji su uspešniji u proceni istinitosti lažnog iskaza procenjuju da su samododirivanje, pokreti šake, greške u govoru i ilustracije učestaliji oblici neverbalnog ponašanja prilikom laganja, a da su pokreti trupa i pokreti nogu manje učestali u ovakvim situacijama. Ispitanici koji su tačniji u proceni istinitog iskaza procenjuju da su pokreti nogu, oklevanje u govoru i pokreti glave učestaliji, a samododirivanje manje učestalo neverbalno ponašanje kod osoba koje govore istinu. Pokazalo se da ispitanici veruju da se oni koji lažu ponašaju nervoznije od osoba koje govore istinu, što odgovara stereotipnim shvatanjima o neverbalnim indikatorima laganja. Rezultati bi mogli da se iskoriste kao osnova za kreiranje programa edukacije u prepoznavanju laganja.

Sentences Recognition Memory and Extraversion-Introversion Levels: A Statistical Modelling Approach

This research aimed to analyse individual differences in recognition of semantic memory by means of a statistical modelling approach, because some difficulties arise when traditional experimental designs and statistical hypotheses tests are used. In this field, statistical modelling provides the possibility of obtaining a data-fitted model for each experimental condition. One hundred and thirty five adult students, both males and females, agreed to participate in our study and were classified as high, middle and low extraverts. Sentences with a high semantic organisation were used as material to be recognised. A statistical modelling process was then applied using the lEM program. Differences in recognition memory for hits were found between middle and low extraversion levels, as revealed by the different data-fitted models.

Measuring individual differences in sensitivities to basic emotions in faces

The assessment of individual differences in facial expression recognition is normally required to address two major issues: (1) high agreement level (ceiling effect) and (2) differential difficulty levels across emotions. We propose a new assessment method designed to quantify individual differences in the recognition of the six basic emotions, ‘sensitivities to basic emotions in faces.’ We attempted to address the two major assessment issues by using morphing techniques and item response theory (IRT). We used morphing to create intermediate, mixed facial expression stimuli with various levels of recognition difficulty. Applying IRT enabled us to estimate the individual latent trait levels underlying the recognition of respective emotions ( sensitivity scores), unbiased by stimulus properties that constitute difficulty. In a series of two experiments we demonstrated that the sensitivity scores successfully addressed the two major assessment issues and their concomitant individual variability. Intriguingly, correlational analyses of the sensitivity scores to different emotions produced orthogonality between happy and non-happy emotion recognition. To our knowledge, this is the first report of the independence of happiness recognition, unaffected by stimulus difficulty.