The role of embodied intention in early lexical acquisition

We examine the influence of inferring interlocutors' referential intentions from their body movements at the early stage of lexical acquisition. By testing human participants and comparing their performances in different learning conditions, we find that those embodied intentions facilitate both word discovery and word-meaning association. In light of empirical findings, the main part of this article presents a computational model that can identify the sound patterns of individual words from continuous speech, using nonlinguistic contextual information, and employ body movements as deictic references to discover word-meaning associations. To our knowledge, this work is the first model of word learning that not only learns lexical items from raw multisensory signals to closely resemble infant language development from natural environments, but also explores the computational role of social cognitive skills in lexical acquisition.     

Fast temporal dynamics of visual cue integration

The integration of information from different sensors, cues, or modalities lies at the very heart of perception. We are studying adaptive phenomena in visual cue integration. To this end, we have designed a visual tracking task, where subjects track a target object among distractors and try to identify the target after an occlusion. Objects are defined by three different attributes (color, shape, size) which change randomly within a single trial. When the attributes differ in their reliability (two change frequently, one is stable), our results show that subjects dynamically adapt their processing. The results are consistent with the hypothesis that subjects rapidly re-weight the information provided by the different cues by emphasizing the information from the stable cue. This effect seems to be automatic, ie not requiring subjects' awareness of the differential reliabilities of the cues. The hypothesized re-weighting seems to take place in about 1 s. Our results suggest that cue integration can exhibit adaptive phenomena on a very fast time scale. We propose a probabilistic model with temporal dynamics that accounts for the observed effect.     

Diverse Routes to Civic Participation Across Ages and Cultures: An Introduction

Civic participation is a cornerstone of civil societies and a part of positive and productive individual development. Much is known about individual predictors of civic participation among ethnic majority Western adolescent and young adult samples. In this special issue, the authors aim to uncover the predictors of civic participation in less studied populations to better understand diverse routes to civic participation across ages and cultures. Framed by life-span and ecological perspectives, this special issue draws together studies that target different age groups, from adolescents to the old–old, as well as minority and immigrant populations and residents of diverse countries, including the United States, Australia, Eastern and Western European countries, and Turkey.     

Trajectories of Suicidal Ideation from Sixth through Tenth Grades in Predicting Suicide Attempts in Young Adulthood in an Urban African American Cohort

The trajectory of suicidal ideation across early adolescence may inform the timing of suicide prevention program implementation. This study aimed to identify developmental trajectories of suicidal ideation among an urban cohort of community‐residing African Americans (AA) longitudinally followed from middle school through early adulthood (ages 11–19 years). Subtypes based on the developmental course of suicidal ideation from late childhood through mid‐adolescence were identified using longitudinal latent class analysis (LLCA) with 581 AA adolescents (52.7% male; 71.1% free or reduced school meals). The developmental trajectories of suicidal ideation were then used to predict suicide attempts in young adulthood. Our LLCA indicated two subtypes (i.e., ideators and nonideators), with 8% of the sample in the ideator class. This trajectory class shows a peak of suicidal ideation in seventh grade and a steady decline in ideation in subsequent grades. Additionally, suicidal ideation trajectories significantly predicted suicide attempt. Results of these analyses suggest the need for suicide prevention approaches prior to high school for AA youth.     

Action Civics for Promoting Civic Development: Main Effects of Program Participation and Differences by Project Characteristics

Using both quantitative and qualitative data, this study examined the effect of participating in an action civics intervention, Generation Citizen (GC), on civic commitment, civic self‐efficacy, and two forms of civic knowledge. The sample consisted of 617 middle and high schools students in 55 classrooms who participated, or were soon to participate, in Generation Citizen. Hierarchical linear models revealed that participating in Generation Citizen was associated with positive gains in action civics knowledge and civic self‐efficacy. Qualitative coding identified three types of project characteristics that captured variability in the action projects student chose to complete: context, content, and contact with decision makers. Interactions between project characteristics and participation in GC revealed differences in civic outcomes depending on project characteristics.     

Development and Evaluation of a Measure of Dangerous,Aggressive, Negative Emotional,and Risky Driving1

The Dula Dangerous Driving Index (DDDI) was created to measure drivers’ self‐reported likelihood to drive dangerously. Each DDDI scale (DDDI Total, Aggressive Driving, Negative Emotional Driving, and Risky Driving scales) had strong internal reliability and there was also evidence for the construct validity of the scales. The DDDI was used to examine the relation between dangerous and aggressive driving and dispositional aggression and anger among 119 college students. Males reported significantly more aggressive, risky, and angry driving than did females. Males and females reported similar levels of dangerous driving and negative emotions while driving. Dangerous driving was positively related to traffic citations and causing accidents. The DDDI will be useful as a research instrument to examine dangerous driving.     

The Effects of Emotional Involvement and Psychological Distance on Integrative Complexity1

Integrative complexity is a measure of information processing that is scored either from archival documents or from written material generated for experimental purposes. Low complexity is associated with a lack of attention to diverse dimensions of, or perspectives on, a topic. Moderate complexity is characterized by the differentiation of such dimensions or perspectives. Finally, high complexity is shown by conceptual integration of the differentiated components. A large number of situational variables have been identified as affecting the level of complexity at which decision makers operate; however, emotional factors have been studied only indirectly (e.g., inferred from the individual's being in an apparently stressful situation). The current study presented university students with fictional scenarios describing interpersonal conflict that were designed to vary the psychological distance between the writer and the people involved in the problem. The complexity level of essays in which the students analyzed and described solutions for the conflict was positively related to both increasing psychological distance and to self-rated emotional involvement, regardless of distance. The distance results may have been due to an unconsidered variable, social perspective. Complexity was significantly and positively correlated with the self-rated effort expended in writing the essay. The findings partially confirm the cognitive manager model of complexity: The complexity of decision strategies is affected by the balance between the importance of the problem and the resources (cognitive and other) that must be invested to operate at different levels of complexity. The data have implications for understanding the impact of emotional involvement on cognitive complexity.