Openness relates to COVID-19 vaccination rates across 48 United States but politics Trump personality

Does geographic variation in personality across the United States relate to COVID-19 vaccination rates? To answer this question, we combined multiple state-level datasets: (a) Big Five personality averages (i.e., extraversion, agreeableness, conscientiousness, neuroticism, and openness;Rentfrow et al., 2008), (b) COVID-19 full-vaccination rates (CDC, 2021a), (c) health-relevant demographic covariates (population density, per capita gross domestic product, and racial/ethnic data;Webster et al., 2021), and (d) political and religiosity data. Analyses showed openness as the strongest correlate of full-vaccination rates (r = 0.51). Controlling for other traits, demographic covariates, and spatial dependence, openness remained significantly related to full-vaccination rates (r(p) = 0.55). Adding political and religiosity data to this model diminished openness effects for full-vaccination rates to non-significance (r(p) = 0.26);however, extraversion emerged as a significant correlate of full-vaccination rates (r(p) = 0.37). Although politics are paramount, we suspect that states with higher average openness scores are more conducive to novel thinking and behavior-dispositions that may be crucial in motivating people to take newly-developed vaccines based on new technologies to confront a novel coronavirus.

How personality affects reaction. A mental health behavioral insight review during the Pandemic.

The fear caused by the Covid-19 pandemic is changing our psychology and behavior. This ongoing negative event, imposing restrictions such as home isolation and social distancing, can result in heightened anxiety, depression and a sense of loneliness, with immediate effects on mental health. This study investigates adolescents' reaction to the pandemic, by analyzing the behavioral mental health trends of depression, anxiety and sense of loneliness, in relation to personality traits. After controlling for demographics and family background, our results reveal strong relationships between several personality traits and psychological health indicators, during the pandemic in Greece. A total of 419 secondary school students (aged 12-18) were administered the State-Trait Anxiety Inventory for Children (STAIC), the Child Depression Inventory (CDI), the Big Five Inventory for measuring personality (BFI) and the Children's Loneliness Questionnaire (CLS) during two time periods within pandemic. Overall, it appears that depression increased significantly in line with the escalation of the pandemic, while anxiety decreased, with the strongest predictors being the personality variables of extraversion, neuroticism and openness. Surprisingly, the study also revealed that the level of extraversion has a positive effect on changes in anxiety, while a negative one on changes in depression. On the other hand, neuroticism and openness seem to negatively correlate with anxiety changes and positively with depression changes. These findings highlight the importance of considering these variables in addressing individuals' mental health behavior during the Covid-19 pandemic and elucidate the literature by offering a deeper understanding of the strong relationship between personality, depression and anxiety.

Impact of COVID-19 on the Human Personality: An Analysis Based on Document Modeling Using Machine Learning Tools

Coronavirus disease of 2019 (COVID-19) has affected the globe terribly. The rapid spread of this virus and the precautionary measures to prevent it have impacted the lives of all human beings around the world in all dimensions. The anxieties over the virus along with the social restrictions have challenged the mental health and might have acute psychological consequences. In this study, our aim is to analyze whether COVID-19 has done any significant changes to very well-known five-factor personality traits of all the humans all over the world from social media text, such as Twitter. We first train and validate five machine learning models on the benchmark essays dataset and then those models are tested on the preprocessed Twitter dataset, consisting of pre_covid and post_covid tweets. The novelty of this study is to analyze and establish the fact that in this short period of time, COVID-19 cannot make very significant changes in the human personality all over the world. We have compared the performances of five machine learning models and what we have found is that the result provided by one model is also justified by the other models. [ FROM AUTHOR] Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Personality and COVID-19 vaccine hesitancy: A quantitative study

Despite rigorous communication and education programs, hesitancy rates for the COVID-19 vaccination in the U.S. remain relatively unchanged at 20-25% (Kaiser Family Foundation, September 2022). Increasing the vaccination uptake to prevent further spread of the disease requires a better understanding of underlying psychological reasons for vaccine hesitancy. This study examines whether any Big Five personality traits (extroversion, agreeableness, conscientiousness, openness, and emotional stability) could statistically significantly predict group membership into one of four vaccination status groups of adults living in the U.S. The four vaccination groups were: (Group 1) did not have the COVID-19 vaccine and will not in the future;(Group 2) did not have the vaccine but may in the future;(Group 3) had the vaccine but did not intend to have another COVID vaccine in the future, and (Group 4) had the vaccine and intended on getting future vaccinations as appropriate. Discriminant analysis was used as a statistical test to predict group membership into one of the four vaccination groups from the mean scores of a brief personality inventory. Adult participants from across the country were recruited using CloudResearch Managed Survey (N = 119) using a survey uploaded from Qualtrics. The respondents took a brief online psychological assessment, the Ten Item Personality Inventory (TIPI) (Gosling, 2003), and were asked about their current vaccine status and future intention to vaccinate. Demographic questions regarding political affiliation and religiosity were also included to understand the population better and add value to the analysis. This study did not support the hypothesis that personality type, measured by the TIPI, would statistically significantly predict membership into vaccine status/ intention groups. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Can psychological traits explain mobility behavior during the COVID-19 pandemic?

The current COVID-19 pandemic is a global, exogenous shock, impacting individuals' decision making and behavior allowing researchers to test theories of personality by exploring how traits, in conjunction with individual and societal differences, affect compliance and cooperation. Study 1 used Google mobility data and nation-level personality data from 31 countries, both before and after region-specific legislative interventions, finding that agreeable nations are most consistently compliant with mobility restrictions. Study 2 (N = 105,857) replicated these findings using individual-level data, showing that several personality traits predict sheltering in place behavior, but extraverts are especially likely to remain mobile. Overall, our analyses reveal robust relationships between traits and regulatory compliance (mobility behavior), both before and after region-specific legislative interventions, and the global declaration of the pandemic. Further, we find significant effects on reasons for leaving home, as well as age and gender differences, particularly relating to female agreeableness for previous and future social mobility behaviors. These sex differences, however, are only visible for those living in households with two or more people, suggesting that such findings may be driven by division of labor. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Well-being during the coronavirus pandemic: The effect of big five personality and COVID-19 beliefs and behaviors

This study examined the relationship between personality traits, COVID-specific beliefs and behaviors, and well-being during the COVID-19 pandemic. In July 2020, at the onset of a second major lockdown, Australian adults (n = 1453) completed measures of Big Five personality, COVID beliefs and behaviors (i.e., belief in a rapid recovery, perceived risk, compliance, change in exercise, and change in interpersonal conflict), subjective well-being and COVID-specific well-being. Personality correlates of COVID-specific well-being differed from those with general life satisfaction. The benefits of conscientiousness were elevated whereas the benefits of extraversion and agreeableness were reduced. Neuroticism was related to greater perceived risk from the pandemic, elevated interpersonal conflict during the pandemic, and more pessimistic views about the rate at which society would recover from the pandemic. In contrast, conscientiousness was notably related to greater compliance with directions from public health authorities. While regression models showed that general well-being was largely explained by personality, COVID factors provided incremental prediction, and this was greatest when predicting COVID-specific well-being and lowest for global evaluations of life satisfaction. The observed prediction by beliefs and behaviors on well-being beyond personality, provides potential opportunities for targeted interventions to support the management of future novel stressors. © 2023 The Authors. Social and Personality Psychology Compass published by John Wiley & Sons Ltd.

COVID-19 and offshore oil and gas workers: The role of personality.

This qualitative study aimed to identify mental health hazards in the offshore oil and gas industry, as well as the role of the personality types of the Five Factor Model (FFM) in coping with these stressors. A focus group with 8 participants and a pilot study with 5 participants were conducted. Results showed that several stressors are currently present for Australian offshore oil and gas employees, in particular COVID-19 and the resulting negative effects on rosters, working hours, job security and time spent away from home. Other stressors revealed by participants were lack of space, working in a high-risk environment, stigma, helicopter travel and pressure to keep up with production. Poor safety behaviours were associated with neuroticism, extraversion and openness, while risk avoidance appear to be associated with agreeableness and conscientiousness. Tolerance to shift work was positively related to extraversion, yet negatively associated to neuroticism. Furthermore, neuroticism showed a negative association with help-seeking and productivity, as well as higher levels of concern relating to COVID-19 and job uncertainty. As personality traits are enduring throughout life, it is vital that employees are managed effectively through workplace interventions so that they are able to cope effectively, particularly during stressful events.

Profile identification and characterization of risk perceptions and preventive behaviors during the COVID-19 pandemic: A latent profile analysis.

In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per governments' recommendations. Adopting the multivariate audience segmentation strategy for health communication, this study uses a data-driven analytical method to (1) identify audience segments of public health crisis communication in Singapore based on knowledge, risk perception, emotional responses, and preventive behaviors; and (2) characterize each audience segment according to demographic factors, personality traits, information processing styles, and health information preferences. Results (N = 2033) from a web-based questionnaire executed in August 2021 have identified three audience segments: the less-concerned (n = 650), the risk-anxious (n = 142), and the risk-majority (n = 1,241). This study offers insights to how audiences of public health crisis communication perceive, process, and respond to information directed to them during the pandemic, thereby informing policy makers to tailor more targeted public health communication interventions in promoting positive attitude and behavior change.

Multifarious Linkages Between Personality Traits and Psychological Distress During and After COVID-19 Campus Lockdown: A Psychological Network Analysis.

Background: The novel coronavirus disease pandemic is still proliferating and is not expected to end any time soon. Several lockdowns and social distancing measures might be implemented in the future. A growing body of research has explored the effect of personality on individuals' psychological wellbeing during the pandemic. However, most prior studies have not discussed the dynamic and reciprocal transactions between personality and psychological distress in various situations. Therefore, this study aims to explore the internal mechanisms of the ways in which certain personality traits triggered specific symptoms during and after college lockdown, by using network analysis. Methods: Based on survey data from 525 university students in China, the study detected the connection between individual personality and psychological distress through network analysis. Of the participants, 70.1% were female, and 20.9% were male. The mean age of the participants was 19.701 (SD = 1.319) years. We estimated networks via two steps: First, two networks that only contain the Big Five personality traits and the six symptoms of psychological distress during and after the lockdown measure were estimated. Second, we add control variables and re-estimated the networks to check whether the linkages among the Big Five personality traits and the six symptoms of psychological distress observed in the first step were stable. Moreover, we employed strength centrality as the key indicator to present the potential significance of diverse variables within a network. Results: The findings demonstrate that, first, "depress" was the central symptom in the network during the college lockdown, while "efforts" was the central symptom after the lockdown. Second, the symptoms of "restless" and "worthless" significantly declined after the lockdown. Third, we found that there is an internal mechanism through which personality affected certain psychological symptoms during and after lockdowns. Specifically, neuroticism triggered certain symptoms during and after the lockdown, while extraversion and conscientiousness suppressed certain symptoms. Substantial evidence on internal linkages is imperative to develop effective interventions. Conclusion: This study explores the internal mechanisms of the ways in which certain personality traits trigger specific symptoms. Overall, our results provide empirical evidence that personality traits play a key role in how individuals with certain traits respond to college lockdown during a pandemic. The study makes a significant contribution to the literature because it is among the first few studies which explores the effects of personality traits on individual psychological distress using network analysis during the pandemic.

Attitudes toward COVID-19 vaccine mandate: The role of psychological characteristics and partisan self-identification.

Governments around the world are increasingly considering vaccine mandates to curb the spread of COVID-19. In May 2022, we surveyed 394 residents of South Dakota to examine predictors of popular attitudes toward a COVID-19 vaccine mandate. We investigated the role of Big Five personality traits, right-wing authoritarianism, and social dominance orientation, as well as partisan self-identification, evangelical identity, and COVID-19 vaccination status. Results showed that Big Five personality traits (openness and emotional stability), right-wing authoritarianism, social dominance orientation, evangelical identity, and partisan self-identification are linked to attitudes toward a COVID-19 vaccine mandate. Our findings underscore the politicization of the COVID-19 pandemic as well as the impact of dispositional factors on attitudes toward mandatory COVID-19 vaccination.

Moderating Effects of Personality Traits On Online Learning Transition and Acceptance Among Culinary Arts Students

Many Higher Education Institutions (HEI) students had to make an immediate change to online learning from the conventional face-to-face mode due to the COVID-19 pandemic and Movement Control Order (MCO) imposed by the government. Learning practical courses such as Culinary Arts via online without application or practical work generated bigger challenges for HEIs. It was emphasised that Culinary Arts education depends predominantly on hands-on application and training. The purpose of this study is to investigate Culinary Arts program students' acceptance with online learning methods (hands-on learning at home) and how the Big Five Personality Traits (BFPT) could have an impact on the relationship. A total of 234 responses from Culinary Arts based program students of six (6) HEIs in Malaysia were obtained and analysed using SPSS statistical software. Findings showed that students were able to accept the transition in learning from face-to-face to online learning. However, it was found that BFPT did not have a significant moderating impact on the relationship between Learning Transition and Online Learning Acceptance. The results could help HEIs in adapting to the new Learning Transition without compromising the quality of the graduates and the curriculum set by the institutions. In addition, the results of this study could enhance further investigations on Online Learning Acceptance to a wider scope and type of study programs. © Universiti Tun Hussein Onn Malaysia Publisher's Office.

Learning burnout and its association with perceived stress, social support, and the Big Five personality traits in Chinese medical students during the COVID-19 pandemic: a cross-sectional study.

BACKGROUND: Owing to the coronavirus disease 2019, medical learning burnout has attracted increasing attention in educational research. It has a serious negative impact on medical students and their service quality. This could impair the professional development of medical students; weaken their personal and professional quality; and lead to problems such as increased medical errors and reduced patient care quality and satisfaction. This study aimed to examine the effects of perceived stress, social support, and the Big Five personality traits on learning burnout among medical students. METHODS: In November 2021, a cross-sectional survey was conducted at three medical universities in China. A self-administered questionnaire was distributed to 616 third- year students. Learning burnout, perceived stress, social support, and the Big Five personality traits (neuroticism, extroversion, openness, agreeableness, and conscientiousness) were anonymously measured. A total of 583 students were included in the final sample. Hierarchical linear regression was performed to explore the effects of perceived stress, social support, and Big Five personality traits on medical students' learning burnout. RESULTS: Perceived stress was positively associated with learning burnout (emotional exhaustion: ß = 0.577, p < 0.001; cynicism: ß = 0.543, p < 0.001; low professional efficacy: ß = 0.455, p < 0.001) whereas social support was negatively related with it (low professional efficacy: ß = -0.319, p < 0.001). Neuroticism had a positive effect on emotional burnout (ß = 0.152, p = 0.009). Extraversion (ß = -0.116, p = 0.006) and conscientiousness (ß = -0.363, p < 0.001) had a negative effect on low professional efficacy. Agreeableness negatively affected emotional exhaustion (ß = -0.181, p < 0.001) and cynicism (ß = -0.245, p < 0.001) and positively affected low professional efficacy (ß = 0.098, p = 0.008). The associated factors together accounted for an additional variance of learning burnout (emotional exhaustion: 39.0%; cynicism: 36.8%; low professional efficacy: 48.7%). CONCLUSIONS: Social support is a positive resource for fighting medical students' burnout. Perceived stress was the strongest indicator of learning burnout. In addition to reducing perceived stress, developing extraversion, agreeableness, and conscientiousness should be included in burnout prevention and treatment strategies, particularly for medical students.

Individual difference predictors of starting a new romantic relationship during the COVID-19 pandemic.

Dramatic social changes brought about by the COVID-19 pandemic shifted the dating scene and the likelihood of people starting new relationships. What factors make individuals more or less likely to start a new relationship during this period? In a sample of 2285 college students (M age  = 19.36, SD = 1.44; 69.2% women; 66.7% White) collected from October 2020 to April 2021, anxiously attached and extraverted people were 10-26% more likely to start a new relationship. Avoidantly attached and conscientious people were 15-17% less likely to start a new relationship. How people pursued (or avoided) new romantic relationships closely mirrored their broader patterns of health and interpersonal behavior during the global pandemic.

Neuroticism and Conscientiousness Moderate the Effect of Oral Medication Beliefs on Adherence of People with Mental Illness during the Pandemic.

BACKGROUND: After the declaration of the pandemic status in several countries, the continuity of face-to-face visits in psychiatric facilities has been delayed or even interrupted to reduce viral spread. Little is known about the personality factors associated with medication beliefs and adherence amongst individuals with mental illness during the COVID-19 pandemic. This brief report describes a preliminary naturalistic longitudinal study that explored whether the Big Five personality traits prospectively moderate the effects of medication beliefs on changes in adherence during the pandemic for a group of outpatients with psychosis or bipolar disorder. METHODS: Thirteen outpatients undergoing routine face-to-face follow-up assessments during the pandemic were included (41 observations overall) and completed the Revised Italian Version of the Ten-Item Personality Inventory, the Beliefs about Medicines Questionnaire, the Morisky Medication Adherence Scale-8-item and the Beck Depression Inventory-II. RESULTS: Participants had stronger concerns about their psychiatric medications rather than beliefs about their necessity, and adherence to medications was generally low. Participants who had more necessity beliefs than concerns had better adherence to medications. People scoring higher in Conscientiousness and Neuroticism traits and more concerned about the medication side effects had poorer adherence. CONCLUSIONS: These preliminary data suggest the importance of a careful assessment of the adherence to medications amongst people with psychosis/bipolar disorder during the pandemic. Interventions aimed to improve adherence might focus on patients' medication beliefs and their Conscientiousness and Neuroticism personality traits.

MOTIVATIONAL DIFFERENCES AMONG SOFTWARE PROFESSIONALS

[Context] The motivation and well-being of software professionals are challenged. COVID-19 pandemic shifted the work landscape, making hybrid and remote workplace settings the standard and putting previously established motivation management tools at risk. Increasing autonomous motivation of software professionals and optimizing multitasking to remain within preferred IT roles might be one approach to overcoming the new obstacles. [Method] Using a quantitative approach, the present study examined the proposed nomological network of software engineering roles, motivation, and personality traits. A conveniently sampled quantitative survey was employed in eight IT companies and two professional IT forums. It produced a considerable (N = 243) data corpus. Based on the state-of-the-art research, hypotheses were formulated, and their statistical counterparts tested by suitable statistical methods, such as the Kruskal-Wallis test. In addition, hierarchical cluster analysis was employed to meaningfully characterize personal differences among software professionals. Finally, correlation analysis was used to derive the strengths of the causal relationships. [Result] Software professionals in this study were of four distinct personality types with varying motivational levels. The openness/intellect dimension was found to significantly nurture motivation in project manager, developer, and analytical roles. In contrast, neuroticism was detrimental to motivation in all roles. The results and future study recommendations were discussed. © 2022 IDIMT. All rights reserved.

Personality Characteristics as Predictors of the Leader's Ethical Leadership in Regular Times and in Times of Crisis

Personality traits broadly impact people's behavior and decisions in the organizational realm. One of the leading personality models suggests that people's personalities can be expressed by five dimensions: openness to experience, conscientiousness, pleasantness, extroversion, and neuroticism. While these characteristics are stable in most human lives, they are assumed to be more pronounced in times of crisis, since crises are weak situations. According to the situational strength theory, people are less aware of the desired rules and codes of conduct in weak situations. Thus, they tend to rely more on their traits and less on the existing procedures. The current work aimed to examine if, during a crisis, the personal characteristics of the manager will be more pronounced and thus have a larger influence on their ethical leadership. In three studies, we show a strong link between agreeableness and conscientiousness and the ethical leadership of managers. However, contrary to our hypotheses, the link between personality traits and ethical leadership is stronger in regular times and not during a crisis. Our findings emphasize the importance of characterizing managers' personality traits for organizations' sustainability. Second, they highlight how significant is the relationship between managers and their employees.

The Effects of Personality Traits on Online Rumor Sharing: The Mediating Role of Fear of COVID-19.

This study aims to explore the effects of personality traits on online rumor sharing during the novel coronavirus (COVID-19) pandemic and the mediating role of the fear of COVID-19 between them. We conducted this research using a web-based questionnaire distributed to 452 university students who were invited to fill it out. The partial least square structural equation modeling (PLS-SEM) method was used to test the data and model, with the yielded results demonstrating that three-extroversion, emotional instability, and conscientiousness-of the Big Five personality traits are positively related to a fear of COVID-19, with this fear positively affecting online rumor sharing. Moreover, fear of COVID-19 was found to act as a mediator between personality traits and online rumor sharing; thus, we can conclude that persons with high levels of extroversion, emotional instability, and conscientiousness are more likely to share rumors online due to a fear of COVID-19. This study furthers our understanding of the psychological mechanism by which personality traits influence online rumor sharing and provides references for anti-rumor campaigns taking place during the COVID-19 pandemic, as it identifies key groups and sheds light on the necessity of reducing people's fear of COVID-19.

The Psychology of COVID-19 Economic Impact Payment Use.

This study investigates how American adults' personality and financial self-efficacy (FSE) beliefs contributed to how they used their COVID-19 CARES Act Economic Impact Payment (EIP) for spending needs, spending wants, and financial transactions (save, invest, debt repayment). The results from a sample of 1172 Amazon MTurk users collected in July 2020 suggest that both personality traits and FSE beliefs were associated with EIP use. Specifically, this study finds that FSE and conscientiousness emerged as the most robust predictors of EIP use across all categories of financial behavior with a greater allocation of EIP funds to saving and less to spending needs and debt repayment. Additionally, greater FSE is associated with investing, while greater conscientiousness is connected to more spending on wants. The results suggest that saving habits associated with personality and FSE persist in a crisis environment, and pre-crisis preparedness may allow for greater spending flexibility on wants. Significant relationships were also found for openness, extraversion, agreeableness, and neuroticism. The findings highlight how people use unexpected financial windfalls during crises and uncertainty and how personal characteristics contribute to this decision making. Supplementary Information: The online version contains supplementary material available at 10.1007/s10834-021-09804-1.

Personality Effects on Chinese Public Preference for the COVID-19 Vaccination: Discrete Choice Experiment and Latent Profile Analysis Study.

Objective: This study aims to investigate the differences in public vaccination preference for the COVID-19 vaccine with different personality characteristics. Methods: Based on the Big Five Personality Inventory (BFI-10), a total of 1200 respondents were categorized by personality characteristics using Latent Profile Analysis (LPA). The preference of members the public with different personality characteristics for COVID-19 vaccination was investigated based on a discrete choice experiment (DCE). Results: All respondents were divided into three groups, named the General and Stable type (79.67%), Conscientious and Agreeable type (9.5%), and Open and Extroverted type (10.83%). For the percentage importance of vaccine attributes, both the General and Stable type and Conscientious and Agreeable type respondents considered cost to be the most important (41.93% and 34.95% respectively). However, the Open and Extroverted type respondents considered efficacy as the most important (31.05%). In our conditional logit model (CLOGIT), for vaccine adverse effects, the General and Stable type and Conscientious and Agreeable type respondents preferred "very mild", while the Open and Extroverted type preferred "mild" (OR:1.108, 95%CI 0.977-1.256). The Open and Extroverted type had a higher willingness to pay (WTP) for the most preferred vaccine level compared to the other types. Conclusions: The Open and Extroverted respondents have the highest willingness to vaccinate. The General and Stable type and Conscientious and Agreeable respondents think that the cost of the vaccine is the most important attribute, and prefer the mildest side effects. The Open and Extroverted type think that vaccine efficacy is the most important attribute, prefer "mild" side effects, and have higher willingness to pay for their favorite vaccine level.

Security awareness of single sign-on account in the academic community: the roles of demographics, privacy concerns, and Big-Five personality.

Single sign-on (SSO) enables users to authenticate across multiple related but independent systems using a single username and password. While the number of higher education institutions adopting SSO continues to grow, little is known about the academic community's security awareness regarding SSO. This paper aims to examine the security awareness of SSO across various demographic groups within a single higher education institution based on their age, gender, and academic roles. Additionally, we investigate some psychological factors (i.e., privacy concerns and personality traits) that may influence users' level of SSO security awareness. Using survey data collected from 283 participants (faculty, staff, and students) and analyzed using a hierarchical linear regression model, we discovered a generational gap, but no gender gap, in security awareness of SSO. Additionally, our findings confirm that students have a significantly lower level of security awareness than faculty and staff. Finally, we discovered that privacy concerns have no effect on SSO security awareness on their own. Rather, they interact with the user's personality traits, most notably agreeableness and conscientiousness. The findings of this study lay the groundwork for future research and interventions aimed at increasing cybersecurity awareness among users of various demographic groups as well as closing any existing gaps between them.