This research examines the design of tiny homes and the importance they play in the lives of those that would usually have not been able to afford a house. The research will also focus on designing a tiny home with the use of design software to fully understand the extent of the characteristics of a tiny home. The design of these small dwellings, usually about 400-500 square feet, allows for a minimalist lifestyle that can be very low cost. The same materials that are used in traditional constructed homes are used for tiny homes because it makes them more durable and more valuable. Therefore, engineers and architects take great strides to think of clever designs for these small spaces to include everyday necessities while providing pleasing aesthetics. The popularity of tiny homes is rising, but they are still illegal in many parts of the country because they do not meet standard building codes. If further research is provided about the wonderful designs that these homes can provide, and the ways in which they give individuals a desired lifestyle, regardless of income, it could be possible that the flourishing tiny house movement could eventually lead to the legalization and legitimization of tiny homes nationwide.

This dissertation contributes an enhanced understanding of team cognition, in general, and collaborative problem solving (CPS), specifically, through an integration of methods that measure team interaction dynamics and knowledge building as it occurs during a complex CPS task. The need for better understanding CPS has risen in prominence as many organizations have increasingly worked to address complex problems requiring the combination of diverse sets of individual expertise to achieve solutions for novel problems. Towards this end, the present research drew from theoretical and empirical work on Macrocognition in Teams that describes the knowledge coordination arising from team communications during CPS. It built from this by incorporating the study of team interaction during complex collaborative cognition. Interaction between team members in such contexts has proven to be inherently dynamic and exhibiting nonlinear patterns not accounted for by extant research methods. To redress this gap, the present research drew from work in cognitive science designed to study social and team interaction as a nonlinear dynamical system. CPS was examined by studying knowledge building and interaction processes of 43 dyads working on NASA's Moonbase Alpha simulation, a CPS task. Both non-verbal and verbal interaction dynamics were examined. Specifically, frame-differencing, an automated video analysis technique, was used to capture the bodily movements of participants and content coding was applied to the teams' communications to characterize their CPS processes. A combination of linear (i.e., multiple regression, t-test, and time-lagged cross-correlation analysis), as well as nonlinear analytic techniques (i.e., recurrence quantification analysis; RQA) were applied. In terms of the predicted interaction dynamics, it was hypothesized that teams would exhibit synchronization in their bodily movements and complementarity in their communications and further, that teams more strongly exhibiting these forms of coordination will produce better problem solving outcomes. Results showed that teams did exhibit a pattern of bodily movements that could be characterized as synchronized, but higher synchronization was not systematically related to performance. Further, results showed that teams did exhibit communicative interaction that was complementary, but this was not predictive of better problem solving performance. Several exploratory research questions were proposed as a way of refining the application of these techniques to the investigation of CPS. Results showed that semantic code-based communications time-series and %REC and ENTROPY recurrence-based measures were most sensitive to differences in performance. Overall, this dissertation adds to the scientific body of knowledge by advancing theory and empirical knowledge on the forms of verbal and non-verbal team interaction during CPS, but future work remains to be conducted to identify the relationship between interaction dynamics and CPS performance.

When it comes to video games, immersion is key. All types of games aim to keep the player immersed in some form or another. A common aspect of the immersive world in most role-playing games -- but not exclusive to the genre -- is the non-playable character (NPC). At their best, NPCs play an integral role to the sense of immersion the player feels by behaving in a way that feels believable and fits within the world of the game. However, due to lack of innovation in this area of video games, at their worst NPCs can jar the player out of the immersive state of flow with unnatural behavior. In an effort towards making non-playable characters (NPCs) in games smarter, more believable, and more immersive, a method based in psychological theory for controlling the behavior of NPCs was developed. Based on a behavior model similar to most modern games, our behavior model for NPCs traverses a behavior tree. A novel method was introduced using the five-factor model of personality (also known as the big-five personality traits) and the circumplex model of affect (a model of emotion) to inform the traversal of the behavior tree of NPCs. This behavior model has two main beneficial outcomes. The first is emergent gameplay, resulting in unplanned, unpredictable experiences in games which feel closer to natural behavior, leading to an increase in immersion. This can be used for complex storytelling as well by offering information about an NPC's personality to be used in the narrative of games. Secondly, the model is able to provide the emotional status of an NPC in real time. This capability allows developers to programmatically display facial and body expression, eschewing the current time-consuming approach of artist-choreographed animation. Finally, a maze simulation environment was constructed to test the results of our behavior model and procedural animation. The data collected from 100 iterations in our maze simulation environment about our behavior model found that a correlation can be observed between traits and actions, showing that emergent gameplay can be achieved by varying personality traits. Additionally, by incorporating a novel method for procedural animation based on real-time emotion data, a more realistic representation of human behavior is achieved.

The empirical investigation of adverse childhood events (ACEs) and their relationship with health and well-being outcomes in later life is increasing. Less is known about factors that may promote resilience for those who have survived such challenges, such as how resilience may be facilitated for those with ACEs residing in a marginalized region such as South Central Appalachia. Multidimensional spirituality, social support, stigma related to ACEs, and Appalachian acculturation may serve as both valid cultural factors and potential indicators of resilience. Cross-sectional, simultaneous multiple regression analysis was performed on data collected from 272 adult patients of a South Central Appalachian based medically assisted treatment (MAT) program utilizing PROCESS macro (Hayes, 2018). Participants were 53.8% male, 94.4% Caucasian, 44.9% aged 35-50 years old, and 63.6% employed. Endorsement of increased spirituality was helpful for those in MAT in South Central Appalachia who self-reported ACEs. However, as one endorsed an increasing number of ACEs, spirituality was no longer salient but instead was associated with worsened health outcomes and lessened hope. The three dimensions of spirituality (Ritualistic, Theistic, and Existential) moderated these relationships in similar but nuanced ways. Social support, on the other hand, improved mental health regardless of ACE score. Stigma and Appalachian acculturation were only related to other variables at the bivariate level but not within the hypothesized moderation model. Our study offers preliminary insight into culturally relevant resilience within South Central Appalachia, however additional investigation is needed to better understand the complex facets of health and well-being outcomes in this marginalized region.

Over the past decades, decision making under risk has garnered a great amount of attention both in the field of economics and psychology. Although state-dependent variabilities of risk taking are well-documented, little is known about the effects of a person’s preferred time of day, or chronotype, in risky decision making. Under circumstances of circadian mismatch (e.g., when an “early bird” makes decisions in the evening), research suggests that decision making may reflect a greater reliance on heuristics, such as using stereotypes in social judgments. However, the effects of circadian mismatch on heuristics in risky decision making are relatively unexplored. This paper looks into the effects of circadian mismatch on the reflection effect: a behavioral bias in financial decision making, wherein individuals are risk averse when facing potential gains, and risk seeking when facing potential losses. Participants will be randomly assigned to their circadian matched or circadian mismatched conditions and will play a series of financial gambling tasks with real monetary incentives. This study predicts that the reflection effect will be exacerbated in circadian mismatched individuals as compared to matched participants. Exploring such an effect could have real-world implications on decision making under risk by providing critical knowledge about the effects of time of day on our susceptibility to behavioral biases. It could therefore point to the existence of a more optimal time of day to engage in such critical decision making.

No description available.

Infant and Early Childhood Mental Health (IECMH) providers engage in uniquely relational work with high-risk families that expose them to the full advantages (i.e., compassion satisfaction [CS]) and disadvantages (e.g., burn-out [BO]) of a helper role. Though the pandemic seemed poised to escalate disadvantage, most early pandemic studies found high CS alongside elevated BO. Unfortunately, as COVID-19 has continued, CS has declined while BO has increased. Given the delayed COVID-19 impact on children, these changes may be particularly acute for IECMH providers. Using a longitudinal cohort of 27 IECMH providers, this study aimed to describe and quantify changes in professional wellbeing and contributing factors over a 12-month period (T1 – T12) from early to mid-pandemic. Little changed from T1 to T12 for IECMH provider CS (M = 41.33 vs. M = 41.08) or BO (M = 22.22 vs. M = 22.65) scores. Variables known to contribute to CS similarly held when T1 was compared to T12, but they fluctuated considerably and non-linearly between these time points. Variable relationships with CS also changed over time necessitating an adjusted hierarchal regression model. This model accounted for 20% of variance in T12 CS. Pandemic experiences like loss are reported; needs/supports are summarized using content analysis. Results underscore the importance of cohort, multi-time point design and the need for non-linear analysis to contextualize the interplay of shared and individual experiences within COVID-19. Implications for maintaining IECMH professional wellbeing moving forward and improving the health of other fields are discussed.

No description available.

Non-math majors enrolled in lower-division math courses at an urban university were surveyed on their math attitudes, coping behaviors, and math anxiety (MATHANX). The Revised Ways of Coping Checklist (RWCC), Revised Math Anxiety Rating Scale, and other questions were presented to 30 men and 32 women. Hierarchical regressions showed that after controlling for attitudinal covariates, emotion-focused coping behaviors (EMOTFOC) were strongly associated with MATHANX (F(5,54)=18.66, 12 < .0001), but problem-focused coping behaviors (PROBFOC) were not. The RWCC subscale most highly correlated with MATHANX was Wishful Thinking (r = .70, p < .0001). Ss were then dichotomized on PROBFOC and EMOTFOC, providing four behavioral groups. An ANCOVA controlling for attitudinal covariates showed behavioral group membership significant with respect to MATHANX (F(3,58)=6.07, p < .001), and an ANOVA revealed that students who reported high EMOTFOC coupled with low PROBFOC experienced the greatest MATHANX (,E(3,58) = 12.66, p < .0001). Males and females reported virtually identical MATHANX (M=36.30 for males, 36.44 for females), and the only significant gender difference was for avoidance coping, which was used more by males (F(1,60) = 5.43, p < .03]. Results from this study suggest that fewer gender differences may exist in MATHANX and coping than have been found in the past. Additionally, this study identifies the need for future research to determine whether EMOTFOC is the behavioral component, or one of the determinants, of math anxiety.

Across the United States, an overwhelming majority of the population claim that religion and spirituality beliefs shape their worldview and assist in coping with life stressors. Yet, the literature has shown that mental health practitioners reported discomfort integrating religion and spiritually in clinical practice. The purpose of this study was to explore whether license-holding mental health professionals in Southern California develop reluctance toward addressing religion/spirituality with their clients. Through snowball sampling, 52 clinicians composed of social workers, counselors, marriage and family therapists, nurses, psychologists, and psychiatrists were recruited across Southern California (N =52). The participants were measured descriptively based on (a) confidence in their ability to integrate client beliefs into treatment and (b) their comfort discussing topics related to RS with their clients. Results revealed an overall level of reluctance ranging from 15 percent (for comfortability) to 25 percent (for ability) among the study participants. Licensed clinical social workers reported slightly lower reluctance level than other licensed professionals. Implications of the findings were discussed.