The influence of fear on risk taking: a meta-analysis

Shyness and risk-taking during peer observation in children and adolescents

Although temperamental shyness is conceptualized as a trait marked by cautiousness, we know relatively little about its relation to risk-taking. We examined how shyness was related to opportunities for risk-taking while considering how social context (i.e., presence of peers) and developmental stage (i.e., children and adolescents) might influence this relation. In the current study, 198 children (Mage = 10.17 years) and 221 adolescents (Mage = 13.46 years) completed the Balloon Analogue Risk Task (BART) alone or during a peer observation manipulation. For children and adolescents, shyness was related to physiological arousal and self-reporting feeling anxious during the peer condition. However, peer observation did not influence the relation between shyness and behavioral responses during the BART. Across both alone and peer conditions, shyness was related to a longer response time for children and adolescents, which may reflect decisional conflict during risk-taking opportunities. Furthermore, shyness in children (but not in adolescents) was related to poorer performance (i.e., fewer points), whereas shyness was unrelated to risk-taking propensity (i.e., number of pumps) for both children and adolescents. Overall, although the presence of peers may induce anxiety during a risk-taking opportunity for children and adolescents higher in shyness, this does not appear to modify their risk-taking behaviors. Instead, shyer children and adolescents in general may take a longer time to decide whether to act in a risky manner, whereas shy children in particular may show poorer performance in obtaining a reward on a risk-taking task.

Risk and prosocial behavioural cues elicit human-like response patterns from AI chatbots

Emotions, long deemed a distinctly human characteristic, guide a repertoire of behaviors, e.g., promoting risk-aversion under negative emotional states or generosity under positive ones. The question of whether Artificial Intelligence (AI) can possess emotions remains elusive, chiefly due to the absence of an operationalized consensus on what constitutes 'emotion' within AI. Adopting a pragmatic approach, this study investigated the response patterns of AI chatbots-specifically, large language models (LLMs)-to various emotional primes. We engaged AI chatbots as one would human participants, presenting scenarios designed to elicit positive, negative, or neutral emotional states. Multiple accounts of OpenAI's ChatGPT Plus were then tasked with responding to inquiries concerning investment decisions and prosocial behaviors. Our analysis revealed that ChatGPT-4 bots, when primed with positive, negative, or neutral emotions, exhibited distinct response patterns in both risk-taking and prosocial decisions, a phenomenon less evident in the ChatGPT-3.5 iterations. This observation suggests an enhanced capacity for modulating responses based on emotional cues in more advanced LLMs. While these findings do not suggest the presence of emotions in AI, they underline the feasibility of swaying AI responses by leveraging emotional indicators.

Fears and Concerns of Bystanders to Help People Injured in Traffic Accidents: A Qualitative Descriptive Study

In most traffic accidents, bystanders arrive at the scene before the rescuers. If they provide the right help, they can play an important and effective role in reducing the number of deaths and complications caused by these accidents. However, in many cases, fears and concerns prevent bystanders from providing assistance. This study aims to investigate and understand the fears and concerns of bystanders when they decide to help in traffic accidents. In 2022, this study was carried out in Iran using a qualitative content analysis approach. The data was collected through semistructured interviews. Participants were 15 males and females who had experience providing assistance in traffic accidents. Interviews, after digital recording, were transcribed verbatim. A purposeful and theoretical sampling method was performed. Data analysis and the determination of codes, categories, and subcategories were done using qualitative analysis software. O'Brien's qualitative research reporting standard was used. The results of the study include a category of fears and concerns and five subcategories. The subcategories include fear and concern caused by lack of information, fear of legal troubles, stress caused by previous experience, fear and anxiety caused by anticipation, and anxiety of unknown origin. The results of this study showed that some of the fears and concerns of the bystanders were related to a lack of information about providing assistance. By increasing bystanders' information about assistance, such as first aid training, fear and anxiety caused by a lack of information can be reduced. Another part of the fear and concern of bystanders is due to legal issues. Passing and implementing laws that protect bystanders can help reduce this fear and concern. Bystanders should be trained to provide assistance according to the rules of assistance so that they do not get into legal problems. A part of the bystander's fear and concern stems from their previous experiences providing assistance in traffic accidents. These experiences can also affect the fear and anxiety caused by anticipation. It is necessary to conduct more studies on the role of bystanders' experiences in creating fear and anxiety in them, as well as their effect on anticipatory fear.

Anxiety and Depression in Metastatic Cancer: A Critical Review of Negative Impacts on Advance Care Planning and End-of-Life Decision Making With Practical Recommendations

PURPOSE

Providers treating adults with advanced cancer increasingly seek to engage patients and surrogates in advance care planning (ACP) and end-of-life (EOL) decision making; however, anxiety and depression may interfere with engagement. The intersection of these two key phenomena is examined among patients with metastatic cancer and their surrogates: the need to prepare for and engage in ACP and EOL decision making and the high prevalence of anxiety and depression.

METHODS

Using a critical review framework, we examine the specific ways that anxiety and depression are likely to affect both ACP and EOL decision making.

RESULTS

The review indicates that depression is associated with reduced compliance with treatment recommendations, and high anxiety may result in avoidance of difficult discussions involved in ACP and EOL decision making. Depression and anxiety are associated with increased decisional regret in the context of cancer treatment decision making, as well as a preference for passive (not active) decision making in an intensive care unit setting. Anxiety about death in patients with advanced cancer is associated with lower rates of completion of an advance directive or discussion of EOL wishes with the oncologist. Patients with advanced cancer and elevated anxiety report higher discordance between wanted versus received life-sustaining treatments, less trust in their physicians, and less comprehension of the information communicated by their physicians.

CONCLUSION

Anxiety and depression are commonly elevated among adults with advanced cancer and health care surrogates, and can result in less engagement and satisfaction with ACP, cancer treatment, and EOL decisions. We offer practical strategies and sample scripts for oncology care providers to use to reduce the effects of anxiety and depression in these contexts.

Multimodal, Idiographic Ambulatory Sensing Will Transform our Understanding of Emotion

Emotions are inherently complex - situated inside the brain while being influenced by conditions inside the body and outside in the world - resulting in substantial variation in experience. Most studies, however, are not designed to sufficiently sample this variation. In this paper, we discuss what could be discovered if emotion were systematically studied within persons 'in the wild', using biologically-triggered experience sampling: a multimodal and deeply idiographic approach to ambulatory sensing that links body and mind across contexts and over time. We outline the rationale for this approach, discuss challenges to its implementation and widespread adoption, and set out opportunities for innovation afforded by emerging technologies. Implementing these innovations will enrich method and theory at the frontier of affective science, propelling the contextually situated study of emotion into the future.

Why People Stayed Home During the COVID-19 Pandemic: Implications for Health Communication Across Four Countries

Staying at home substantially reduces the spread of COVID-19. Moreover, understanding why people stayed at home by addressing its social cognitive determinants can help create more effective communication to change behaviors. This study analyzed this outcome through an extended model of the theory of planned behavior based on risk perception and personal norms in four countries: the United States, Japan, Brazil, and Taiwan. 1,196 individuals participated in this study through a questionnaire focused on planned behavior, moral norms, and risk perception. The data showed that intention and perceived behavioral control influenced behavior significantly, while attitude, injunctive norms, perceived behavioral control, personal norms, and risk perception influenced intention. With multigroup analysis and ANOVA, we verified significant differences in the estimates and mean scores across cultures, revealing the need for scholars to analyze outcomes based on geography and local political culture. Given that health communications played a key role in managing the pandemic, this study clarifies the social cognitive determinants of staying at home and how the local political culture can impact their influence. Thus, we provide an evidence-based prescription for focused communications.

When Artificial Intelligence Voices Human Concerns: The Paradoxical Effects of AI Voice on Climate Risk Perception and Pro-Environmental Behavioral Intention

Artificial intelligence (AI)-enabled text-to-speech transformation has been widely employed to deliver online information in various fields. However, few studies have investigated the effect of the AI voice in environmental risk communication, especially in the field of climate change, an issue that poses a severe threat to global public health. To address this gap, the current study examines how the AI voice impacts the persuasive outcome of climate-related information and the potential mechanism that underlies this process. Based on the social and affect heuristics of voice, we propose a serial mediation model to test the effect of climate-related information delivered by different voice types (AI voice vs. human voice) in eliciting risk perception and motivating pro-environmental behavioral intention. Through an online auditory experiment (N = 397), we found the following. First, the AI voice was as effective as the human voice in eliciting risk perception and motivating pro-environmental behavioral intention. Second, compared with human voice, the AI voice yielded a listener's lower level of perceived identity oneness with the speaker, which decreased risk perception and subsequently inhibited pro-environmental behavioral intention. Third, compared with human voice, the AI voice produced a higher level of auditory fear, which increased risk perception and thereby led to stronger pro-environmental behavioral intention. The paradoxical role of the AI voice and its wise use in environmental risk communication for promoting global public health are discussed.

Long-term impacts of COVID-19 pandemic on travel behaviour

The need to understand the influence of the COVID-19 pandemic on the long-term travel behaviour of people has never been higher as a consequence of the second wave of pandemic. In this context, the current study aims to understand the willingness of people to use sustainable modes of transportation including shared modes of transport, and non-motorized transport, against non- shared modes of transport such as personal 2-wheelers and 4-wheelers in a post-vaccinated scenario. The study further models the willingness to choose public transportation under various COVID-19 preventive measures representing the perception of safety among people. An Integrated Choice and Latent Variable (ICLV) framework a employed in the modelling. The fear of contracting COVID-19 and the belief in remedial measures significantly influenced the mode choice of individuals. This highlighted a significant long-term impact of the pandemic on the travel behaviour of individuals. The study concludes by presenting different strategies that could be adopted to make the existing sustainable modes safer, and hence, more attractive.

Sleepiness Moderates the Associations between Personality and Financial Risk Tolerance and Spending Habits among College Students

OBJECTIVES

Personality and sleep characteristics are related to financial attitudes and behaviors. However, to our knowledge no study has examined how personality and sleep may be conjointly associated with these financial outcomes. The present study examined sleepiness as a moderator of the associations between college students' personality traits and financial risk tolerance and spending habits.

METHODS

Undergraduates (N = 177, 77% women, 78% White) self-reported their personality traits and sleepiness using well-established questionnaires. Financial attitudes and behaviors were assessed via students' self-reported responses to a set of scenarios assessing risk tolerance as well as their spending habits over the prior two weeks.

RESULTS

Multiple regression analyses were run. Across five significant two-way interactions, high levels of sleepiness exacerbated risk for greater financial risk tolerance and higher spending among those characterized by high open-mindedness and low neuroticism, whereas low sleepiness increased protection for lower risk tolerance and less spending among those high in agreeableness and conscientiousness.

CONCLUSIONS

Sleepiness may act as both a vulnerability and protective factor in relations between personality and financial attitudes and behaviors. Improvements in sleepiness, which is modifiable via intervention, may have significant implications for individuals' financial well-being.

The effect of fear-inducing stimuli on risk taking in people with psychopathic traits

Research suggests that people with psychopathic traits experience fear-inducing stimuli differently from others, seeming to interpret fear as more positive and less negative. We expected that this reaction, termed fear enjoyment, would impact the effect of fear-inducing stimuli on self-report risk-taking behaviour. Risk-taking was measured before and after viewing excitement- and fear-inducing videos (N = 825). As expected from research showing that fear induction tends to reduce risk-taking tendencies, participants showed reduced risk-taking scores following a fear-inducing stimulus. Importantly, this relationship was moderated by psychopathic traits. Participants who did not decrease their risk-taking tendencies following the video scored significantly higher on psychopathic traits. Also, some of the variance in the relationship between psychopathic traits and change in risk-taking was partly accounted for by fear enjoyment, suggesting that future research should examine whether fear enjoyment may play a role in the relationship between psychopathy and risk-taking.

Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study

It is common for people to make bad decisions because of their emotions in life. When these decisions are important, such as aeronautical decisions and driving decisions, the mistakes of decisions can cause irreversible damage. Therefore, it is important to explore how emotions influence decision-making, so as to avoid the negative influence of emotions on decision-making as much as possible. Although existing researchers have found some mechanisms of emotion's influence on decision-making, only a few studies focused on the influence of emotions on decision-making based on electroencephalography (EEG). In addition, most of them were focused on risky and uncertain decision-making. We designed a novel experimental task to explore the influence of emotion on spatial decision-making and recorded subjective data, decision-making behavioral data, and EEG data. By analyzing these data, we came to three conclusions. Firstly, we observed three similar event-related potentials (ERP) microstates in the decision-making process under different emotions by microstate analysis. Additionally, the prefrontal, parietal and occipital lobes played key roles in decision-making. Secondly, we found that the P2 component of the prefrontal lobe presented the influence of different emotions on decision-making by ERP analysis. Among them, positive emotion evoked the largest P2 amplitude compared to negative emotions and no stimuli. Thirdly, we found some graph metrics that were significantly associated with decision accuracy by effective connectivity analysis combined with graph theoretic analysis. In consequence, the finding of our study may shed more light on the brain mechanisms underlying the influence of emotions on spatial decision-making, thereby providing a basis for avoiding decision-making accidents caused by emotions and realizing better decision-making.

The influence of incidental emotions on decision-making under risk and uncertainty: a systematic review and meta-analysis of experimental evidence

Emotions influence human decisions under risk and uncertainty, even when they are unrelated to the decisions, i.e. incidental to them. Empirical findings are mixed regarding the directions and sizes of the effects of discrete emotions such as fear, anger, or happiness. According to the Appraisal-Tendency Framework (ATF), appraisals of certainty and control determine why same-valence emotions can differentially alter preferences for risky and uncertain options. Building upon this framework of emotion-specific appraisals, we conducted a systematic review and meta-analysis of 28 experimental studies on the effects of discrete incidental emotions on decision-making under risk and uncertainty. We evaluated potential moderators at the task and study levels. We find emotion-specific, moderately heterogeneous effects partially in line with the expectations of the ATF. The framing and financial consequences of choices, the type of choices, and the presence of other participants during the task do not moderate the effect. Our meta-analytic results support the differential influence of discrete, incidental emotions on decision-making under risk and uncertainty depending on appraisals other than valence. We discuss limited sample sizes and heterogeneity as reasons for the absence of significant moderators and encourage experimental investigations of individual differences in the susceptibility to incidental affective influences.

Affect and Social Judgment: The Roles of Physiological Reactivity and Interoceptive Sensitivity

Humans imbue the objects of their perception with affective meaning, a phenomenon called affective realism. The affective realism hypothesis proposes that a brain continually predicts the meaning of sensations (e.g., identifying a sound as a siren, or a visual array as a face) in part by representing the current state of the body and the immediate physiological impact that similar sensory events have entailed in the past. However, the precise contribution of physiological activity to experiences of affective realism remains unknown. In the present study, participants' peripheral physiological activity was recorded while they made social evaluative judgments of target faces displaying neutral expressions. Target faces were shown concurrent with affective images that were suppressed from reportable awareness using continuous flash suppression. Results revealed evidence of affective realism-participants judged target faces more positively when paired with suppressed positive stimuli than suppressed negative stimuli-but this effect was significantly less pronounced among individuals higher in cardiac interoceptive sensitivity. Moreover, while some modest differences in peripheral physiological activity were observed across suppressed affective stimulus conditions, physiological reactivity to affective stimuli did not directly predict social evaluative judgments. We explore the implications of these findings with respect to both theories of emotion and theories detailing a role for interoception in experiences of first-person subjectivity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-022-00114-9.

Fear From Afar, Not So Risky After All: Distancing Moderates the Relationship Between Fear and Risk Taking

A growing line of research has shown that individuals can regulate emotional biases in risky judgment and decision-making processes through cognitive reappraisal. In the present study, we focus on a specific tactic of reappraisal known as distancing. Drawing on appraisal theories of emotion and the emotion regulation literature, we examine how distancing moderates the relationship between fear and risk taking and anger and risk taking. In three pre-registered studies (N_total = 1,483), participants completed various risky judgment and decision-making tasks. Replicating previous results, Study 1 revealed a negative relationship between fear and risk taking and a positive relationship between anger and risk taking at low levels of distancing. Study 2 replicated the interaction between fear and distancing but found no interaction between anger and distancing. Interestingly, at high levels of distancing, we observed a reversal of the relationship between fear and risk taking in both Study 1 and 2. Study 3 manipulated emotion and distancing by asking participants to reflect on current fear-related and anger-related stressors from an immersed or distanced perspective. Study 3 found no main effect of emotion nor any evidence of a moderating role of distancing. However, exploratory analysis revealed a main effect of distancing on optimistic risk estimation, which was mediated by a reduction in self-reported fear. Overall, the findings suggest that distancing can help regulate the influence of incidental fear on risk taking and risk estimation. We discuss implications and suggestions for future research.

Feel Safe and Money is Less Important! Hypnotic Suggestions of Safety Decrease Brain Responses to Monetary Rewards in a Risk Game

When a stimulus is important, the corresponding brain responses increase, especially the P300 brain response. This is true for all kinds of important stimuli, also monetary rewards. In our study, we developed a hypnotic suggestion to reduce the subjective importance of monetary rewards. As successful suggestions do not contain negations, we suggested participants to feel safe during hypnosis instead of suggesting that money is not important anymore. We predicted lower P300 amplitudes when participants feel safe during hypnosis. We tested 24 highly suggestible participants playing a risk game in 2 conditions with monetary rewards while we measured their EEG brain responses. In the safety condition, we induced a hypnotic state and suggested that participants feel safe. In the control condition, participants played the risk game without hypnosis. Here we show that participants felt significantly safer in the safety condition and showed significantly lower P300 amplitudes to monetary rewards. Risk behavior did not differ significantly between conditions. Our results are important for substance use disorders, as decreased P300 responses to substance-related stimuli are associated with less craving and better abstinence. Therefore, we conclude that suggestions to feel safe during hypnosis might work as a treatment for individuals with substance use disorders.