Behavioral regulation relies on interacting forces and predictive models.

Objective: We discuss how our recent neural network model of personality and motivation can explain many aspects of the regulation of behavior.

Method: Contrary to approaches that focus on a goal-corrected, set-point, and discrepancy-reducing mechanism, we argue that many aspects of regulation can be understood in terms of two other mechanisms. First, many aspects of the stability and coherence of personality, as well as the dynamics of personality, can be understood in terms of the interaction of forces within organized motivational systems, and their interaction with features of the environment and interoceptive states, that identify an individual's current needs.

User-Agent Bond in Generalizable Environments: Long-Term Risk-Reduction via Nudged Virtual Choices.

Avatars or agents are digitized self-representations of a player in mediated environments. While using agents to navigate through mediated environments, players form bonds with their self-agents or characters, a process referred to as identification. Identification can involve automatic, but temporary, self-concept "shifts in implicit self-perceptions" (Klimmt et al.

Protean Kinematics: A Blended Model of VR Physics.

Avatar research largely focuses on the effects of the appearance and external characteristics of avatars, but may also warrant further consideration of the effects of avatar movement characteristics. With , we offer an expansion the avatar-user appearances-based effects of the Proteus Effect to a systematic exploration into the role of movement in affecting social perceptions (about others) and idealized perceptions (about self). This work presents both a theoretical (typology) and methodological (physics-based measurement) approach to understanding the complex blend of physical inputs and virtual outputs that occur in the perceptual experience of VR, particularly in consideration of the collection of hippocampal (e.

The Structure of Social Support in Confidant Networks: Implications for Depression.

Social support differs for depressed and non-depressed individuals. However, the structural features of social supports, as represented via social networks and how they are related to depression, and its mitigation, are unclear. Here, we examine associations between personal support network structures and self-reports of depression and depression mitigation behaviors.

"I Want to Be Alone, but I Don't Want to Be Lonely": Uncertainty Management Regarding Social Situations among College Students with Social Anxiety Disorder.

Individuals with social anxiety disorder (iSAD) experience adverse outcomes in daily life due to the disorder (e.g., lower educational and work achievement compared to their healthy counterparts).

Are insecure attachment styles related to risky sexual behavior? A meta-analysis.

Objective: Attachment theory provides a powerful framework for understanding individual differences affecting interpersonal relationships and a range of health behavior outcomes. However, no meta-analyses have yet to examine the relationship between adult attachment styles and risky sexual behaviors. The purpose of this meta-analysis was to synthesize the results of the association between adult attachment and risky sexual behaviors.

Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review.

A just-in-time, adaptive intervention (JITAI) is an emerging type of intervention that provides tailored support at the exact time of need. It does so using enabling new technologies (e.g.

The relationship between social norms and sexual risk-reduction intentions and behavior among men who have sex with men: Findings from an eHealth intervention.

Normative-based research has found that norms are significant predictors of safe sex behavioral intentions and behavior. Research shows that group identity moderates the relationship between norms and intentions/behavior. The present study used the theory of normative social behavior to evaluate whether identification with characters in an HIV-prevention interactive video moderated the relationship between sexual risk-taking norms and risk reduction intentions/behavior.

Virtual prognostication: When virtual alcohol choices predict change in alcohol consumption over 6-months.

Narrative games, in which users interact with virtual agents, are increasingly being used in health interventions to change targeted behaviors. In virtual social interactions, based on similar real-life contextual cues, past behavior can predict virtual choices. Here, based on theories in learning and interactivity, we examined the whether following a virtual intervention, choices in social interactions may be particularly diagnostic of future behavior changes.

Using Neural Networks as Models of Personality Process: A Tutorial.

This paper presents a tutorial for creating neural network models of personality processes. Such models enable researchers to create explicit models of both personality structure and personality dynamics, and to address issues of recent concern in personality, such as, "If personality is stable, then how is it possible that within subject variability in personality states can be as large as or larger than between subject variability in personality?" or "Is it possible to understand personality dynamics and personality structure within a common framework?" We discuss why one should want to use neural networks, review what a neural network model is, review a previous model we have constructed, discuss how to conceptualize issues in such a way that they can be computationally modeled, show how that conceptualization can be translated into a model, and discuss the utility of such models for understanding personality structure and personality dynamics. To build our model we use a neural network modeling package called that is freely available, and a specific architecture called Leabra to build a runnable model that addresses one of the questions posed above: How can within subject variability in personality related states be as large as between subject variability in personality?

Neurocognitive decision-making processes of casual methamphetamine users.

Neuroadaptations caused by chronic methamphetamine (MA) use are likely major contributors to high relapse rate following treatment. Thus, focusing intervention efforts at pre-empting addiction in vulnerable populations, thereby preventing MA-use-induced neurological changes that make recovery so challenging, may prove more effective than targeting chronic users. One approach is studying casual/recreational users, not diagnosed with substance use disorder.

Causal Inference in Generalizable Environments: Systematic Representative Design.

Causal inference and generalizability matter. Historically, systematic designs emphasize causal inference, while representative designs focus on generalizability. Here, we suggest a transformative synthesis - - concurrently enhancing both causal inference and "built-in" generalizability by leveraging today's intelligent agent, virtual environments, and other technologies.

The Virtual Personalities Neural Network Model: Neurobiological Underpinnings.

The Virtual Personalities Model is a motive-based neural network model that provides both a psychological model and a computational implementation that explicates the dynamics and often large within-person variability in behavior that arises over time. At the same time the same model can produce -- across many virtual personalities - between subject variability in behavior that when factor analyzed yields familiar personality structure (e.g.

The role of the dorsal anterior insula in sexual risk: Evidence from an erotic Go/NoGo task and real-world risk-taking.

The insula plays an important role in response inhibition. Most relevant here, it has been proposed that the dorsal anterior insular cortex (dAIC) plays a central role in a salience network that is responsible for switching between the default mode network and the executive control network. However, the insula's role in sexually motivated response inhibition has not yet been studied.

"She Finally Smiles … for Real": Reducing Depressive Symptoms and Bolstering Resilience Through a Camp Intervention for LGBTQ Youth.

While summer camps are a recognized evidence-based strategy for building social and emotional skills among youth (U.S. Centers for Disease Control and Prevention [CDC], 2009), no known studies have evaluated the effects of camp programming for LGBTQ youth in the United States.

Virtually 'in the heat of the moment': insula activation in safe sex negotiation among risky men.

HIV is most prevalent among men who have sex with men (MSM), and although most MSM use condoms consistently during casual sex, some take risks. To better understand the psychology of those risky decisions, we examined neural correlates of playing a virtual sexual 'hook up' game in an functional magnetic resonance imaging scanner in MSM who had, in the past 90 days, been sexually risky (N = 76) or safe (N = 31). We found that during potentially risky sexual choices, previously risky MSM had more right insula activity than previously safe MSM.

Virtual Personalities: Using Computational Modeling to Understand Within-Person Variability.

How can the same underlying psychological/neurobiological system result in both stable between-individual differences and high levels of within-individual variability in personality over time and situations? We argue that both types of variability result from a psychological system based on structured, chronic motivations, where behavior at a specific point in time is a joint function of the current availability of motive affordances in the situation, current motivationally relevant bodily or interoceptive states, and the result of the competition among alternative active motives. Here we present a biologically-based theoretical framework, embodied in two different computational models, that shows how individuals with stable personality characteristics, can nevertheless exhibit considerable within-person variability in across time and situations.

Young Men's Shame about Their Desire for other Men Predicts Risky Sex and Moderates the Knowledge - Self-Efficacy Link.

Background: Nationally, HIV incidence is rising rapidly among young (18-24 years old) men who have sex with men (YMSM). Knowledge of safer sex generally enhances self-efficacy for safer sex, an important predictor of safer-sex behaviors. Recent findings suggest that a strong negative social emotion (i.

Reducing shame in a game that predicts HIV risk reduction for young adult MSM: a randomized trial delivered nationally over the Web.

Introduction: Men who have sex with men (MSM) often face socially sanctioned disapproval of sexual deviance from the heterosexual "normal." Such sexual stigma can be internalized producing a painful affective state (i.e.

A neural network model of the structure and dynamics of human personality.

We present a neural network model that aims to bridge the historical gap between dynamic and structural approaches to personality. The model integrates work on the structure of the trait lexicon, the neurobiology of personality, temperament, goal-based models of personality, and an evolutionary analysis of motives. It is organized in terms of two overarching motivational systems, an approach and an avoidance system, as well as a general disinhibition and constraint system.