This dissertation presents two individual-difference measures that could be used to assess the validity of eyewitness identification decisions. We designed a non-forced two-alternative face recognition task (consisting of mini-lineup test pairs, half of which included a studied face and half of which did not). In three studies involving a total of 583 subjects, proclivity to choose on pairs with two unstudied faces weakly predicted mistaken identifications on culprit-absent lineups, with varying correlation coefficients that failed to reach the value r = 0.4 found in Baldassari, Kantner, and Lindsay (under review). The likelihood of choosing correctly on pairs that included a studied face was only weakly predictive of correct identifications in culprit-present lineups (mean r of .2). We discuss ways of improving standardized measures of both proclivity to choose and likelihood to be correct when choosing. The second measure is based on the Guilty Knowledge Test (GKT), a lie detection method that utilizes an oddball paradigm to evoke the P300 component when a witness sees the culprit. This GKT-based lineup was intended to postdict identification accuracy regardless of witnesses’ overt responses, thus faces are used as stimuli. Half of participants were instructed to respond as if they knew the culprit and wanted to falsely exonerate him. P300 amplitudes evoked by the culprit were indistinguishable from those evoked by a different learned face but were larger than P3s evoked by unfamiliar faces in both the described lying condition and the group of participants who intentionally told the truth. / Graduate / 2018-12-05

Relational aggression encompasses behaviour meant to hurt others by destroying their friendships and reputation (Crick & Grotpeter, 1995). As peer relationships take on greater importance in early adolescence, relational aggression becomes more accepted and prevalent, yet perceived as equally or more harmful to its targets than physical aggression. The present study explored whether reactive and proactive subtypes of relational aggression were associated with an inability to empathize with others, regulate emotional states, and hold attitudes that it is acceptable to manipulate and harm others. Empathy, emotion regulation, and Machiavellianism’s roles in predicting reactive and proactive relational aggression was examined using Crick and Dodge’s (1994) reformulated Social Information-Processing Theory’s framework. Reactive relational aggression was expected to be associated with low empathy and high emotion dysreglation. Proactive relational aggression was expected to be predicted by high empathy, low emotion dysregulation, and high Machiavellianism. Low empathy was expected to predict overt aggression indices. One hundred and thirty-three children (73 females, 60 males, Mage = 12.84 years) in grades 6 through 8 from five schools in a public Ontario schoolboard were recruited. Caregivers completed a measure of their child’s emotions and behaviours (The Emotion Regulation Checklist; Shields & Cicchetti, 1995). Participating students completed four self-report measures assessing relational and overt aggression (Children’s Social Behaviour Scale – Self-Report; Crick & Grotpeter, 1995), proactive and reactive subtypes of aggression (Little, Jones, Henrich, & Hawley, 2003), empathy (Interpersonal Reactivity Index; Davis, 1980), and Machiavellianism (Kiddie Mach Scale; Christie & Geis, 1970) during one 60 minute session. Empathy, Machiavellianism, and emotion dysregulation scores were associated with total, reactive, and proactive relational aggression scores. When contrasting subtypes of aggression were controlled, however, these emotional and cognitive variables did not predict total and reactive relational aggression. There was a non-significant trend for higher levels of empathy to predict proactive relational aggression. Low empathy significantly predicted total and reactive overt aggression indices. Machiavellianism predicted reactive and proactive overt aggression. Emotion regulation was not a significant predictor in analyses. Results provide support for the role of Machiavellianism and empathy in relational aggression, particularly proactive or goal-oriented instances.

L’effet du vieillissement sur les fonctions cognitives de haut niveau demeure encore relativement incompris. Cette recherche vise à mieux comprendre les différences interindividuelles de performances entre les individus jeunes et âgés par l’étude des processus de contrôle attentionnel mis en jeu dans les tâches de commutation attentionnelle. Dans unpremier temps, deux tâches d’alternance de type séries alternées ont été administrées à des adultes jeunes et âgés. Les résultats n’indiquent pas d’effet de l’âge sur les coûts d’alternance mesurés mais en revanche un coût d’alternance symétrique (étude 1) et des coûts d’alternance locaux et globaux différents selon les individus (étude 1 et 2). Dans un second temps, un travail de modélisation du fonctionnement cognitif à l’aide de l’architecture cognitive ACT-R a été réalisé. Il permet de tester la plausibilité des hypothèses de diminution de la vitesse de traitement (VT) et de diminution de la capacité de la mémoire de travail (CMT), à pouvoir reproduire les différences de performances entre jeunes et âgés. Lesrésultats des tests d’hypothèse pour les deux études réalisées indiquent que ces hypothèses ne reproduisent pas assez les effets empiriquement observés ce qui suppose que les hypothèses de diminution de la VT ou de la CMT sont insuffisantes pour expliquer les différences de performances individuelles observées. Cette étude met en évidence l’intérêt de la modélisation cognitive computationnelle dans la compréhension des processus sous-jacent le fonctionnement cognitif humain / The effect of aging on high level cognitive functions is still relatively misunderstood. The aim of this research is to better understand individual performance differences between young and elderly individuals, by studying the attentional control processes involved in task switching. Initially, two switching tasks were administered to young and elderly adults. The results indicate no age effect on the switching cost but show an asymmetric switching cost (Study 1) and differentlocal and global switching costs between individuals (study 1 and 2). In a second step, a computational cognitive modeling of cognitive functioning is built using the ACT-R architecture. It enables to test the veracity of the assumptions of reduced processing speed (VT) and reduced capacity of working memory (WCL), to reproduce the observed performance differences between young and old individuals. The results of the hypothesis tests for both studies indicate that these assumptions do not reproduce adequately the empirically observed effects, which implies that the assumptions of decreased VT or CMT are insufficient to explain the individual performance differences observed. This study highlights the interest of computational cognitive modeling in the understanding of the processes underlying human cognitive functioning

This study examined the relationship between several individual differences (openness to experience, conscientiousness, extraversion, creative self-efficacy, intrinsic motivation, and polychronicity) and creativity. It also examined how the organizational climate (support for creativity) moderated the relationship between the individual differences and creativity. All the individual differences except for polychronicity were positively correlated with creativity as well as support for creativity. Structural Equation Modeling (SEM) found that the individual differences explained 58% of the variance in creativity and that support for creativity moderated the relationship between conscientiousness and creativity and between extraversion and creativity. Because of noticed similarity between creativity and creative self-efficacy items, a factor analysis was done which confirmed some overlap. Implications of the findings of this paper are discussed.

No description available.

During spoken language comprehension, listeners transform continuous acoustic cues into categories (e.g. /b/ and /p/). While longstanding research suggests that phoneme categories are activated in a gradient way, there are also clear individual differences, with more gradient categorization being linked to various communication impairment like dyslexia and specific language impairments (Joanisse, Manis, Keating, & Seidenberg, 2000; López-Zamora, Luque, Álvarez, & Cobos, 2012; Serniclaes, Van Heghe, Mousty, Carré, & Sprenger-Charolles, 2004; Werker & Tees, 1987). Crucially, most studies have used two-alternative forced choice (2AFC) tasks to measure the sharpness of between-category boundaries. Here we propose an alternative paradigm that allows us to measure categorization gradiency in a more direct way. We then use this measure in an individual differences paradigm to: (a) examine the nature of categorization gradiency, (b) explore its links to different aspects of speech perception and other cognitive processes, (c) test different hypotheses about its sources, (d) evaluate its (positive/negative) role in spoken language comprehension, and (e) assess whether it can be modified via training. Our results provide validation for this new method of assessing phoneme categorization gradiency and offer valuable insights into the mechanisms that underlie speech perception.

Purpose: This study investigates one possible reason for individual differences in vocabulary learning from written context. A Latent Semantic Analysis (LSA) model is used to motivate the prediction of a causal relationship between semantic knowledge for words in a text and the quality of their hypotheses about the semantics of novel words, an effect mediated by reading comprehension. The purpose of this study was to test this prediction behaviorally, using a within subject repeated measures design to control for other variables affecting semantic word learning. Methods: Participants in 6th grades (n=23) were given training to increase semantic knowledge of words from one of two texts, counterbalanced across participants. After training, participants read untreated and treated texts, which contained six nonword forms. Measures were taken of reading comprehension (RC) and the quality of the readers' hypotheses about the semantics of the novel words (HSNW). Text difficulty and semantic informativeness of the texts about nonwords were controlled. Results: All participants had increases in semantic knowledge of taught words after intervention. For the group as a whole, RC scores were significantly higher in the treated than untreated condition, but HSNW scores were not significantly higher in the treated than untreated condition. Reading comprehension ability was a significant moderator of the effect of treatment on HSNW. A subgroup of participants with lower scores on a standardized reading comprehension measure (n=6) had significantly higher HSNW and RC scores in the treated than untreated condition. Participants with higher standardized reading comprehension scores (n=17) showed no effect of treatment on either RC or HSNW. Difference scores for RC and difference scores for HSNW were strongly related, indicating that within subjects, there is a relationship between RC and HSNW. Conclusions: The results indicate that for a subgroup of readers with weaker reading comprehension, intervention to enhance lexical semantic richness had a substantial and significant effect on both their reading comprehension and on the quality of hypotheses that they generated about the meanings of novel words. Neither effect was found for a subgroup of readers with stronger reading comprehension. Clinical and educational implications are discussed.

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第13372号 / 論医博第2209号 / 新制||医||1047(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 花川 隆, 教授 髙橋 良輔, 教授 小柳 義夫 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

No description available.

<div>The persistent issues that have been identified in the cyber defense domain, such as information-overload, burn-out and high turn-over rates among cyber analysts leads us to question what the cognitive ability contribution is to a more successful cyber performance. Cyber defense researchers theorize that individual differences are determinants of cyber performance success but have yet to establish empirically the role of individual differences. Therefore, the study uses an individual differences approach under a work performance framework to study the contributions of cognitive ability (i.e., attention control) on cyber performance success in a specific cyber work-role (i.e., the Incident Reponder), and through its well-defined primary task (i.e., incident detection system performance). The sample included actual network analysts with a wide range of incident detection expertise, age, and education levels for more reliable and valid scores. The results of the correlational analysis showed that individual differences in attention control (i.e., flexibility and spatial attention) contribute most to the differences in Incident Responder work-performance. A linear regression model then demonstrated that spatial attention and flexibility predict 53 to 60 percent of the variance in cyber performance scores. It is suggested that the KSA's from the NICE framework be updated with the cognitive abilities that contribute to and/or predict cyber performance success, for superior recruitment efforts towards a more efficient cyber defense work-force. </div><div><br></div>