Self-regulation and emotion: predicting risky choice

All of the experiments presented in this dissertation focus on people's risk taking. In order to shed light on mechanisms underlying this phenomenon, I point out how emotions (i.e., anticipated emotions, integral emotions, anticipated regret, and emotion regulation strategies) and individuals' goal-oriented self-regulation (i.e., regulatory mode) affect risky behaviors. First – in the present dissertation – I introduce a comprehensive series of three studies (i.e., chapter 2) demonstrating whether and how individuals' regulatory modes affect individual differences in taking risky choices. I further focus on the role of anticipated regret to explain how it arises from regulatory mode, and in turn, affects risk taking. In keeping with this view, the present work sheds light on mechanisms underlying the relationships among decision-maker's regulatory mode, anticipated emotions and risk taking. Second (i.e., chapter 3), I introduce a relatively new theory studied in decision-making research (Emotion Regulation Theory; ER, Gross & John, 2003), demonstrating how ER strategies adopted from people predict risky choices occurring in deliberative processes (i.e., processes which predominantly involve anticipated emotions). But the present work does more than this. Indeed, the chapter 4 shows how situationally induced ER strategies affect risky choices occurring in decision processes related to high emotional arousal level (i.e., processes which predominantly involve integral emotion) as well as demonstrating how a personality variable (i.e., negative focus on potential outcome; see chapter 4, for more details) moderates the relationship between ER strategy and risk taking. To summarize – on the one hand – findings of the present studies shed light on emotional processes underlying human decisions under risk. On the another hand, they shed light on both regulatory mode theory and emotion regulation theory. More specifically, these findings extend our knowledge in five ways: First, they show how decision maker's self-regulatory mode (i.e., assessment and locomotion) affect people's risky choices (i.e., chapter 2). More specifically, I find that assessment mode – in comparison to locomotion mode – lead to decreased risk-taking level. It is worth nothing that, these tendencies have been shown in both habitual use and situationally induced of regulatory modes. Second, they show the trajectory of anticipated regret in making decisions under risk (i.e., chapter 2). In particular, I show that assessment mode increases the regret emotion, which in turn, decreases risk-taking level. By contrast, locomotion mode decreases the regret emotion, which in turn, increases risk-taking level. Third, they show that habitual use of emotion regulation strategies (i.e., cognitive reappraisal and expressive suppression) predict individual differences in taking risk under deliberative processes (i.e., chapter 3). More specifically, cognitive reappraisal and expressive suppression were significantly correlated with risk taking, in opposite directions: Stronger habitual use of reappraisal was associated with increased risk taking while stronger habitual use of suppression was associated with decreased risk taking. Four, they show how situationally induced emotion regulation strategies affect people's risky choices which involve higher arousal levels (e.g., when occurring integral emotions; i.e., chapter 4). In particular, situationally induced suppression ER strategy—compared to reappraisal—significantly decreases risk taking only among people with a higher negative outcome focus. Five, based on chapter 4's findings it is showed that habitual use of negative outcome focus on risky choice moderates the expressive suppression's effect in human decisions under risk. The experiments presented in the following chapters offer solid evidence of the mediating role of anticipated regret between decision-maker's regulatory modes and risky behavior. Moreover, robust evidence is showed on mechanisms underlying the relationship between ER strategies and risky decision making. Thus, we can claim that the quality of a decisional output is not only influenced by integral or anticipated emotions, but also by the effectiveness the regulatory strategies employed to control the affective states

Self-regulation and emotion: predicting risky choice

All of the experiments presented in this dissertation focus on people's risk taking. In order to shed light on mechanisms underlying this phenomenon, I point out how emotions (i.e., anticipated emotions, integral emotions, anticipated regret, and emotion regulation strategies) and individuals' goal-oriented self-regulation (i.e., regulatory mode) affect risky behaviors. First – in the present dissertation – I introduce a comprehensive series of three studies (i.e., chapter 2) demonstrating whether and how individuals' regulatory modes affect individual differences in taking risky choices. I further focus on the role of anticipated regret to explain how it arises from regulatory mode, and in turn, affects risk taking. In keeping with this view, the present work sheds light on mechanisms underlying the relationships among decision-maker's regulatory mode, anticipated emotions and risk taking. Second (i.e., chapter 3), I introduce a relatively new theory studied in decision-making research (Emotion Regulation Theory; ER, Gross & John, 2003), demonstrating how ER strategies adopted from people predict risky choices occurring in deliberative processes (i.e., processes which predominantly involve anticipated emotions). But the present work does more than this. Indeed, the chapter 4 shows how situationally induced ER strategies affect risky choices occurring in decision processes related to high emotional arousal level (i.e., processes which predominantly involve integral emotion) as well as demonstrating how a personality variable (i.e., negative focus on potential outcome; see chapter 4, for more details) moderates the relationship between ER strategy and risk taking. To summarize – on the one hand – findings of the present studies shed light on emotional processes underlying human decisions under risk. On the another hand, they shed light on both regulatory mode theory and emotion regulation theory. More specifically, these findings extend our knowledge in five ways: First, they show how decision maker's self-regulatory mode (i.e., assessment and locomotion) affect people's risky choices (i.e., chapter 2). More specifically, I find that assessment mode – in comparison to locomotion mode – lead to decreased risk-taking level. It is worth nothing that, these tendencies have been shown in both habitual use and situationally induced of regulatory modes. Second, they show the trajectory of anticipated regret in making decisions under risk (i.e., chapter 2). In particular, I show that assessment mode increases the regret emotion, which in turn, decreases risk-taking level. By contrast, locomotion mode decreases the regret emotion, which in turn, increases risk-taking level. Third, they show that habitual use of emotion regulation strategies (i.e., cognitive reappraisal and expressive suppression) predict individual differences in taking risk under deliberative processes (i.e., chapter 3). More specifically, cognitive reappraisal and expressive suppression were significantly correlated with risk taking, in opposite directions: Stronger habitual use of reappraisal was associated with increased risk taking while stronger habitual use of suppression was associated with decreased risk taking. Four, they show how situationally induced emotion regulation strategies affect people's risky choices which involve higher arousal levels (e.g., when occurring integral emotions; i.e., chapter 4). In particular, situationally induced suppression ER strategy—compared to reappraisal—significantly decreases risk taking only among people with a higher negative outcome focus. Five, based on chapter 4's findings it is showed that habitual use of negative outcome focus on risky choice moderates the expressive suppression's effect in human decisions under risk. The experiments presented in the following chapters offer solid evidence of the mediating role of anticipated regret between decision-maker's regulatory modes and risky behavior. Moreover, robust evidence is showed on mechanisms underlying the relationship between ER strategies and risky decision making. Thus, we can claim that the quality of a decisional output is not only influenced by integral or anticipated emotions, but also by the effectiveness the regulatory strategies employed to control the affective states

Self-efficacy and Anxiety in Learning English as a Foreign Language: Singing in Class Helps Speaking Performance

Learning is a process that involves both cognitive and affective components and that requires appropriate educational strategies. The present study investigates the links between self-efficacy and anxiety in second language learning, and the effectiveness of the singing songs teaching strategy upon students’ speaking performance. In particular, we tested whether singing songs in class during English lessons affects the relationship between self-efficacy, anxiety and performance in a group of Italian high school students learning English as a second language (N = 132; age ranging 16-19 years). The data were collected through a production task in which the vocabulary extension, the number of words, and the fluency of speech were coded and calculated as a general indicator of students’ linguistic competence. In addition, students were asked about their use of singing as an educational activity during English lessons. Results of bootstrapping analyses confirmed our prediction that foreign language self-efficacy is correlated to performance, through the mediation of anxiety. Our results also showed that the use of a singing songs strategy moderates the association of low self-efficacy to anxiety and performance, thus suggesting its plausibility as a positive pedagogical tool in second language learning activities. The theoretical and practical implications are discussed

Forest therapy using virtual reality in the older population: a systematic review

IntroductionAs life expectancy increases, more attention needs to be paid to their mental and physical condition. Many older patients are also bedridden, which makes some treatments, like in vivo exposure to natural environments, more difficult to be applied. This study aimed to systematically review articles that include interventions combining virtual reality and forest environment, targeting a sample of older people.MethodsBased on PRISMA guidelines, we conducted a literature search in three databases (EBSCO, PubMed, and Scopus), plus gray literature (OpenGrey). We considered only studies that used forest settings via virtual reality and included a sample with age ≥ 65.ResultsAfter the screening and eligibility stages, 7 articles have been included.DiscussionThe study underlines the need to implement research in this direction to standardize effective procedures that can be used to improve the mental and physical health of the older people and caregivers, while also reducing social costs

Psychological Predictors of Energy Saving Behavior: A Meta-Analytic Approach

Understanding how psychological processes drive human energy choices is an urgent, and yet relatively under-investigated, need for contemporary society. A knowledge gap still persists on the links between psychological factors identified in earlier studies and people’s behaviors in the energy domain. This research applies a meta-analytical procedure to assess the strength of the associations between five different classes of individual variables (i.e.,: attitudes, intentions, values, awareness, and emotions) and energy-saving behavioral intentions and behaviors (self-reported and actual). Based on a systematic review of studies published between 2007 and 2017, we estimate the average effect size of predictor-criterion relations, and we assess relevant moderators and publication bias, drawing on data obtained from 102 independent samples reported in 67 published studies (N = 59.948). Results from a series of five single meta-analyses reveal a pattern of significant positive associations between the selected psychological determinants and energy-saving indicators: associations between individual-level predictors and energy-saving outcomes are positive and moderate in size, ranging from large effects for emotions to small-moderate effects for pro-environmental values. Interestingly, moderation analysis reveals, among other things, that attitude-behavior links are not statistically significant when actual behavior is considered as an outcome. Implications for policy interventions are discussed

Problematic Use of the Internet Mediates the Association between Reduced Mentalization and Suicidal Ideation: A Cross-Sectional Study in Young Adults

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).Suicide is a major public health problem, and it is urgent to investigate its underlying clinical and psychological concomitants. It has been suggested that low mentalization skills and problematic use of the internet (PUI) are factors that can play a role in suicidal behaviors. It is possible that poor mentalization skills contribute to leading to forms of PUI, which, in turn, can represent triggers for suicidal ideation (SI). We tested this hypothesis through a quantitative and cross-sectional study on a sample (n = 623) of young adults (age range: 18−34). Self-report measures investigating symptoms related to Social Media Addiction (SMA), Internet Gaming Disorder (IGD), mentalization capacity, and SI were used. A single mediation analysis with two mediators was carried out to evaluate the direct and indirect effects of mentalization on SI through the mediating role of SMA- and IGD-related symptoms, controlling for potential confounding factors (e.g., socio-demographic and addiction-related variables). The four explored variables were significantly associated with each other (all p 0.001) across all subjects; the mediational model showed that the total effect of mentalization on SI was significant (B = −0.821, SE = 0.092 (95% CI: −1.001; −0.641)) and that both SMA- (B = −0.073, SE = 0.034 (95% CI: −0.145; −0.008)) and IGD-related symptoms (B = 0.046, SE = 0.027 (95% CI: −0.107; −0.001)) were significant mediators of such association. Our findings support the possibility that PUI severity plays a relevant role in mediating the association between low mentalization skills and levels of SI.Peer reviewedFinal Published versio

Green Lifestyles Alternative Models and Up-scaling Regional Sustainability (GLAMURS). Work Package 4. Deliverable 4.3: Report on Future Lifestyle Scenarios and Backcasting Vision Workshops

[Abstract] A participatory backcasting methodology has been developed for the GLAMURS project, entitled participatory backcasting for sustainable lifestyles and a green economy. It consists of two stakeholder workshops; a first workshop for problem exploration and development of visions for sustainable lifestyle and a green economy followed by a second workshop focussing on pathways and implementation.In six regions studied in the GLAMURS project vision workshops have been successfully executed. Thirteen visions have been generated. Visions have been compared on several dimensions including (1) sufficiency versus green growth, (2) individual versus community orientation, (3) governance by government or market, and (4) urban versus rural focus.The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement Nº 61342

A Multilab Replication of the Ego Depletion Effect

There is an active debate regarding whether the ego depletion effect is real. A recent preregistered experiment with the Stroop task as the depleting task and the antisaccade task as the outcome task found a medium-level effect size. In the current research, we conducted a preregistered multilab replication of that experiment. Data from 12 labs across the globe (N = 1,775) revealed a small and significant ego depletion effect, d = 0.10. After excluding participants who might have responded randomly during the outcome task, the effect size increased to d = 0.16. By adding an informative, unbiased data point to the literature, our findings contribute to clarifying the existence, size, and generality of ego depletion

Many Labs 5:Testing pre-data collection peer review as an intervention to increase replicability

Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect (p < .05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3?9; median total sample = 1,279.5, range = 276?3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (?r = .002 or .014, depending on analytic approach). The median effect size for the revised protocols (r = .05) was similar to that of the RP:P protocols (r = .04) and the original RP:P replications (r = .11), and smaller than that of the original studies (r = .37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r = .07, range = .00?.15) were 78% smaller, on average, than the original effect sizes (median r = .37, range = .19?.50)

Trait Emotional Intelligence Is Related to Risk Taking when Adolescents Make Deliberative Decisions

Most forms of risky behavior reach their peak during adolescence. A prominent line of research is exploring the relationship between people’s emotional self-efficacy and risk taking, but little is known about this relationship in the cognitive-deliberative domain among adolescents. The main aim of the present study consists in investigating whether trait EI (Emotional Intelligence) is positively related to risk taking under predominantly cognitive-deliberative conditions among adolescents. Ninety-four adolescents played the cold version of the Columbia Card Task one month following an assessment of their trait EI. Results showed that trait EI is associated with risk taking under cognitive-deliberative conditions among adolescents. Moreover, the present research showed that trait EI is related to risk taking through the decision makers’ self-motivation. These results provide novel insights into research investigating the connections between emotional intelligence, decision science and adolescence research