The leading role of personality in concerns about autonomous vehicles.

Development of autonomous vehicles (AVs) is growing in a rapid rate, however, the most dominant barriers in their adoption seem to be rather psychological than technical. The present online survey study aimed to investigate which demographical and personality dimensions predict attitudes towards AVs on a Hungarian sample (N = 328). Data was collected by convenience and snowball sampling. Three-level hierarchical regression models were applied: in the first level, demographical variables, then general personality traits and third, attitude-like personality factors were entered. We demonstrated that the predictive effect of age, gender and education disappeared when personality dimensions were included into the models. Importantly, more positive general attitudes towards technology and higher optimism regarding innovations predicted eagerness to adopt AVs. On the other hand, individuals with more negative attitudes and higher dependence on technology as well as those with lower level of Sensory Sensation Seeking and higher level of Conscientiousness were more concerned about AVs. Our results suggest that AV acceptance cannot be regarded as a one-dimensional construct and that certain personality traits might be stronger predictors of AV acceptance than demographical factors.

Purchase intention for second-hand luxury goods: An empirical study of Chinese consumers.

Second-hand luxury goods feature both characteristics of luxury products like perceived value including social, emotional, and quality value, and second-hand goods like price-performance ratio. Enlarging the second-hand luxury market is of significance to protect the environment and save rare and valuable natural resources, and thus investigating the determinants of purchase intention is meaningful. From the perspective of the psychology of consumers, the influence of factors related to consumers (recycling awareness, subjective norms, attitudes, perceived behavioral control) and products (perceived value, price-performance ratio) on the intention to buy second-hand luxury goods is explored in this study through an online survey with Chinese consumers as a sample. The results are analyzed using the structural equation model (SEM) and show that consumers' attitudes, perceived behavioral control, and recycling awareness will promote the intention of purchasing second-hand luxury goods, and the perceived value and price-performance ratio of second-hand luxury goods also have a positive impact on the purchase intention. However, there is no significant relationship between subjective norms and purchase intention. In addition, this study also explores the interrelationship between constructs and draws corresponding conclusions, providing references for the subsequent development of the second-hand luxury market.

Predictors of Criminal Sentiments Scale-Modified Scores in Outpatients with Legal System Involvement.

The Criminal Sentiments Scale-Modified (CSS-M) has been widely used as a measure of criminal attitudes. This analysis examined CSS-M scores in a large sample of outpatients with serious mental illnesses and a criminal legal system history. We compared total and subscale scores in our sample to scores from two other previously published U.S. studies in which the CSS-M was used, and evaluated associations between total CSS-M score and nine variables (age, educational attainment, gender, race, marital status, employment status, diagnostic category, substance use disorder comorbidity, and adverse childhood experiences (ACE) score). Scores were higher than in two prior U.S. studies involving other types of samples. Independently significant predictors of higher CSS-M scores included being younger (P < .001), having a higher ACE score (P < .001), being male (P = 03), not identifying as White (P < 001), not having a psychotic disorder (P < 001), and having a comorbid substance use disorder (P = 002). Future research should test the hypothesis that these factors increase risk for arrest and that arrest events, and subsequent criminal legal system involvement, are characterized by negative experiences and perceptions of poor procedural justice, which in turn underpin the negative opinions referred to as "criminal sentiments" or criminal attitudes.

Utilización de los medios de comunicación y actitudes frente a las pantallas en niños de 36-72 meses: estudio descriptivo transversal / Media use and attitudes towards screens in children aged 36-72 months; a cross-sectional, descriptive study

Introducción. La edad en que los niños son introducidos a los dispositivos de comunicación es cada vez más temprana. Las investigaciones sobre los hábitos relacionados con ellos, en niños pequeños, son importantes. El objetivo de este estudio fue describir los hábitos sobre el uso de dispositivos mediáticos (edad de comienzo, tiempo frente a las pantallas, preferencias populares) de niños preescolares y explorar la relación con las características familiares. Población y métodos. Estudio descriptivo transversal: Los padres de niños de 36-72 meses que asistían a los centros de cuidado infantil en Kayseri, una ciudad central de Anatolia, Turquía, completaron un cuestionario sobre los hábitos familiares y de los niños, relacionados con los medios de comunicación. Resultados. Se incluyeron 858 cuestionarios. El 28 % de los niños utilizaban pantallas por más de 2 h/día; el 36 % fueron introducidos a los dispositivos de comunicación antes de los 2 años de edad. La televisión fue el dispositivo más usado (95 %), y los dibujos animados, el programa elegido en el 86,7 %. Los hijos de padres con educación superior tuvieron menos tiempo de pantallas frente a la televisión, la computadora o el teléfono móvil (p = 0,012; p = 0,007; p <0,01 para la madre y p = 0,049; p = 0,032; p = 0,04 para el padre respectivamente). La introducción de libros en los primeros 6 meses de edad se asoció con menor tiempo diario frente a las pantallas (p = 0,011; p = 0,009; p = 0,002 para televisión, computadora y teléfono móvil, respectivamente). El tiempo de los padres frente a la televisión se correlacionó positivamente con el de los niños (p <0,05; r: 0,354). Conclusión. El nivel de educación de los padres, el tiempo que ellos dedican a las pantallas y la introducción de libros en etapas tempranas se relacionaron con los hábitos de los niños frente a los dispositivos mediáticos. Se necesitan estudios amplios para explicar esta relación con mayor claridad.

Introduction: The age at which children are introduced to media devices is becoming increasingly earlier. Studies regarding the media habits of young children have gained importance. The aim of the study was to describe the screen media habits (age of introduction media, time spend with screen, popular choices) of preschool children and to explore their relationship with household characteristics. Population and methods: Cross-sectional descriptive study; the parents of children aged 36-72 months who attended childcare centers in Kayseri, a central Anatolian city in Türkiye, completed a questionnaire on media habits of families and children. Results: There were 858 questionaires included. The proportion of children using screen media more than 2 h/day was 28%; 36% of children were introduced to media devices before the age of two. The most frequently used media tool was television (95%) and the program watched was cartoons for TV (86.7%). Children of highly educated parents had shorter TV, computer and smartphone screen time (p = 0.012, p = 0.007, p <0.01 for mother and p = 0.049, p = 0.032, p = 0.04 for father respectively). Introducing books in the first 6 months was associated with shorter daily screen time (p = 0.011, p = 0.009, p = 0.002 for TV, computer and smartphone ,respectively). Parent's time spent on TV was positively correlated with children's time spent on TV (p <0.05, r = 0.354). Conclusion: Parents' education levels, parents' screen time and introducing book in early age was related to children's media habits. Comprehensive studies are needed to explain this relationship more clearly.

Environmental attitude and affective-motivational beliefs towards sustainability of secondary school children in Germany and their associations with gender, age, school type, socio-economic status and time spent in nature.

There are warnings that human actions will lead to irreversible environmental damage if they continue at their current pace and scale. With regard to individual aspects, a pro-environmental attitude and positive affective-motivational beliefs towards sustainability represent fundamentals for a more sustainable future. However, there is little data regarding these constructs and relevant explanatory factors, especially with regard to young people. We examined environmental attitude (two-dimensional: utilization and preservation) and affective-motivational beliefs towards sustainability with regard to gender, age, socio-economic status, school type and time spent in nature in 484 adolescents (11-14 years) living in German cities by means of univariate and multiple regression analyses. Mean values were high in preservation and affective-motivational beliefs towards sustainability, and relatively low in utilization. Female adolescents had higher values compared to male students in affective-motivational beliefs towards sustainability. Age did not play a substantial role. Although being strongly correlated with each other, school type and socio-economic status each exhibited positive associations to environmental attitude and affective-motivational beliefs towards sustainability. Furthermore, multiple regression analyses identified time spent in nature as a significant predictor of incremental value, suggesting a tentative recommendation to spend at least half an hour per week in nature in order to promote positive attitudes towards the environment and sustainability. In sum, special needs for topic-related education seem to exist for male students, students with lower formal level of education, students with a lower socio-economic status and students who spend little time in nature.

Psychological effects of anti-Arab politics on American and Arab peoples' views of each other.

Disparaging rhetoric about Arab people was prevalent during Donald Trump's political rise in the United States. Although this rhetoric was intended to energize conservative Americans, it also echoed throughout many liberal parts of the United States and around the world. In this research, we experimentally examined the effects of such rhetoric on American and Arab people's attitudes and visual representations of each other before and after Trump was elected. Although people overwhelmingly reported not liking the negative rhetoric, the rhetoric alone did not influence explicit and implicit intergroup biases in either location, as measured by feeling thermometers and Implicit Association Tests. However, the election outcome moderated the way rhetoric influenced how American and Arab people visually represented each other. Our research sheds light on nuanced effects of global politics on various information processing stages within intergroup perception.

Confidence, attitude, and practice of scientific research among health professions' students in the United Arab Emirates.

OBJECTIVE: This study aimed to assess the confidence, attitude, and scientific research practices of undergraduate students of different health profession specialties. METHODS: In this cross-sectional study, an online-based questionnaire was distributed as a Google Form via groups and pages of medical universities available on social media sites such as Facebook, WhatsApp, and Twitter to the second- to sixth-year students of different health profession specialties in different universities across the United Arab Emirates (UAE) in the period from October through December 2023 using the convenience sampling technique. The questionnaire included four parts that assessed socio-demographics and custom-designed research-related questions (6 items), perceived confidence (8 items), attitudes (14 items), and the practice in the context of scientific research and its implementation (9 items). Multivariate logistic regression analyses were conducted to explore the variables associated with the study outcomes, including confidence, attitudes, and practice levels. RESULTS: The study included 522 undergraduate students. The participants reported low confidence, a negative attitude, and low scientific research practice. Regression results revealed that individuals without prior research experiences were less likely to have high confidence and practice compared to those with previous research experience (OR = 0.634, 95% CI: 0.426-0.945, p = 0.025; and OR = 0.139, 95%Cl: 0.090-0.216, P<0.001, respectively). Additionally, participants who reported difficulty in differentiating between various literature resources were less likely to have high confidence and practice compared to those who reported the ability to differentiate (OR = 0.627, 95% CI: 0.42-0.935, p = 0.022, and OR = 0.370, 95%Cl: 0.237-0.579, p<0.001, respectively). Furthermore, individuals who had not taught research methods in their undergraduate studies were less likely to have high practice (OR = 0.505, 95%Cl: 0.309-0.823, p = 0.06). CONCLUSIONS: Undergraduates of different medical specialties in the UAE demonstrated acceptable levels of confidence and attitude toward scientific research, with several areas for practice improvement. Education and training courses focusing on various aspects of scientific research should be incorporated into the medical curricula in order to enhance students' confidence and practice of scientific research.

Civic sense and its contribution to recycling activities: Evidence from Italy.

This article studies from a conceptual, theoretical and empirical point of view the link between civic sense and recycling activities in Italy related to the years 1998, 2012, 2018, 2019. It establishes a link among the concepts of civic sense, whose essential components are behaviours, attitudes and interactions, with it being a typical traditional theoretical approach with perfectly rational and perfectly informed agents, along with a standard empirical analyses on the determinants of (household) waste recycling. Starting from a game-theoretic model of contribution with particular features related to the objective function of agents and a heterogeneity in their costs, the article aims to highlight how certain theoretical results get together with empirical evidence. In the empirical analysis, using the micro-data of a "Multipurpose Survey on Households" provided by the Italian National Statistical Office and an ordered probit model, the article finds a positive, robust and stable correlation between civic sense and household recycling activities The findings show that a higher civic sense is related to an increase in household recycling activities, respectively, of 1.2 percentage points in 1998, 4.3 percentage points in 2012, and 3.8 percentage points in both 2018 and 2019.

Development and psychometric validation of a brief scale to measure environmental perception based on the 2-major environmental values model in adolescents and adults.

BACKGROUND: The worldwide ecological crisis, including global climate change, is leading to increased awareness and attitudes towards environmental problems. To address these problems, studies of human attitudes are needed. This study is based on the 2-Major Environmental Values (2-MEV) model, which measures two components of environmental attitudes: Preservation and Utilization. The model has been applied to both, adolescents and adults. After decades of use, it is necessary to review the psychometric scale and update the wording. Developing short or even super-short scales to measure well-established constructs is necessary due to time constraints, compliance or fatigue due to language issues. METHODS: We applied an exploratory factor analysis (EFA) to a dataset containing 20 items from the 2-MEV model to reduce the scale to 6 items, 3 per dimension using parallel analysis, scree plot examination and eigen-value greater than 0 as criteria. The scale was then applied to adults and the sample was split for EFA and confirmatory factor analysis (CFA). Multigroup confirmatory factor analysis (MGCFA) was then used to assess invariance across age and gender. Finally, regression and linear models were used to examine the effects of age and gender in both, adults and adolescents. RESULTS: The 2-MEV model was replicated in the EFA and CFA and the correlated two-factor model showed the best fit. The scale showed configural and metric invariance across age and gender, and scale invariance across gender. Gender and age effects were replicated in relation to previous studies. DISCUSSION: The brief scale showed good model indices and convergent validity. IMPLICATIONS: The brief scale of the 2-MEV model can be applied in situations where environmental attitudes are important, but time constraints (internet surveys), compliance, or language problems may hinder the use of longer scales.

Analysis of college students' attitudes toward the use of ChatGPT in their academic activities: effect of intent to use, verification of information and responsible use.

BACKGROUND: In recent years, the use of artificial intelligence (AI) in education has increased worldwide. The launch of the ChatGPT-3 posed great challenges for higher education, given its popularity among university students. The present study aimed to analyze the attitudes of university students toward the use of ChatGPTs in their academic activities. METHOD: This study was oriented toward a quantitative approach and had a nonexperimental design. An online survey was administered to the 499 participants. RESULTS: The findings of this study revealed a significant association between various factors and attitudes toward the use of the ChatGPT. The higher beta coefficients for responsible use (ß=0.806***), the intention to use frequently (ß=0.509***), and acceptance (ß=0.441***) suggested that these are the strongest predictors of a positive attitude toward ChatGPT. The presence of positive emotions (ß=0.418***) also plays a significant role. Conversely, risk (ß=-0.104**) and boredom (ß=-0.145**) demonstrate a negative yet less decisive influence. These results provide an enhanced understanding of how students perceive and utilize ChatGPTs, supporting a unified theory of user behavior in educational technology contexts. CONCLUSION: Ease of use, intention to use frequently, acceptance, and intention to verify information influenced the behavioral intention to use ChatGPT responsibly. On the one hand, this study provides suggestions for HEIs to improve their educational curricula to take advantage of the potential benefits of AI and contribute to AI literacy.

Measuring political radicalism and extremism in surveys: Three new scales.

This paper introduces three new scales to measure left- and right-wing radical as well as general extremist attitudes that can be applied across Western European countries. We therefore propose a thorough conceptualization of extremist attitudes that consists of two dimensions: general extremism, by which we understand attitudes that oppose the constitutional democratic state, and another dimension that differentiates between right- and left-wing radicalism by which we understand people who take far-reaching but often one-sided positions on political issues (e.g., on nationalism or anti-imperialism) by advocating fundamental socio-political change. Based on data from Germany, Great Britain, and the Netherlands (n = 6,201) we created short indices for general extremism and left- and right-wing radicalism. We check for convergence validity by assessing the psychometric properties of the extracted indices, i.e. their internal coherence and the degree to which a scale is able to distinguish strongly extremist and non-extremist individuals. Finally, we correlate the scales with various constructs that are likely related to extremist attitudes in order to assure external or construct validity. The results indicate that the three scales are highly valid and applicable across three Western European countries. Overall, we find that about two to four percent of citizens in each country hold left-wing or right-wing extremist attitudes.

What polarizes citizens? An explorative analysis of 817 attitudinal items from a non-random online panel in Germany.

Various studies point to the lack of evidence of distributive opinion polarization in Europe. As most studies analyse the same item batteries from international social surveys, this lack of polarization might be due to an item's issue (e.g., the nature or substance of an item) or item formulation characteristics used to measure polarization. Based on a unique sample of 817 political attitudinal items asked in 2022 by respondents of a non-random online panel in Germany, we empirically assess the item characteristics most likely to lead to distributive opinion polarization-measured with the Van der Eijk agreement index. Our results show that only 20% of the items in our sample have some-at most moderate-level of opinion polarization. Moreover, an item's salience in the news media before the survey data collection, whether an item measures attitudes toward individual financial and non-financial costs, and the implicit level of knowledge required to answer an item (level of technicality) are significantly associated with higher opinion polarization. By contrast, items measuring a cultural issue (such as issues on gender, LGTBQI+, and ethnic minorities) and items with a high level of abstraction are significantly associated with a lower level of polarization. Our study highlights the importance of reflecting on the potential influence of an item's issue and item formulation characteristics on the empirical assessment of distributive opinion polarization.

The politics of allyship: Multiethnic coalitions and mass attitudes toward protest.

Recent work finds that nonviolent resistance by ethnic minorities is perceived as more violent and requiring more policing than identical resistance by ethnic majorities, reducing its impact and effectiveness. We ask whether allies-advantaged group participants in disadvantaged group movements-can mitigate these barriers. On the one hand, allies can counter negative stereotypes and defuse threat perceptions among advantaged group members, while raising expectations of success and lowering expected risks among disadvantaged group members. On the other hand, allies can entail significant costs, carrying risks of cooptation, replication of power hierarchies, and marginalization of core constituencies. To shed light on this question we draw on the case of the Black Lives Matter (BLM) movement, which, in 2020, attracted unprecedented White participation. Employing a national survey experiment, we find that sizeable White presence at racial justice protests increases protest approval, reduces perceptions of violence, and raises the likelihood of participation among White audiences, while not causing significant backlash among Black audiences. Black respondents mostly see White presence as useful for advancing the movement's goals, and predominant White presence reduces expectations that protests will be forcefully repressed. We complement these results with analysis of tens of thousands of images shared on social media during the 2020 BLM protests, finding a significant association between the presence of Whites in the images and user engagement and amplification. The findings suggest that allyship can be a powerful tool for promoting sociopolitical change amid deep structural inequality.

Examining the impact of interventions in reducing self-reported engagement in distracted driving: A systematic review.

Despite the implementation of legal countermeasures, distracted driving remains a prevalent concern for road safety. This systematic review (following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines) summarised the literature on the impact of interventions targeting attitudes/intentions towards, and self-reported engagement in, distracted driving. Studies were eligible for this review if they examined self-reported behaviour/attitudes/intentions pertaining to distracted driving at baseline and post-intervention. Databases searched included PubMed, ProQuest, Scopus, and TRID. The review identified 19 articles/interventions, which were categorised into three intervention types. First, all program-based interventions (n = 6) reduced engagement in distracted driving. However, there were notable limitations to these studies, including a lack of control groups and difficulties implementing this intervention in a real-world setting. Second, active interventions (n = 9) were commonly utilised, yet a number of studies did not find any improvements in outcomes. Finally, four studies used a message-based intervention, with three studies reporting reduced intention and/or engagement in distracted driving. There is opportunity for message-based interventions to be communicated effortlessly online and target high-risk driving populations. However, further research is necessary to address limitations highlighted in the review, including follow-up testing and control groups. Implications are discussed with particular emphasis on areas where further research is needed.

Breaking the plastic habit: Drivers of single-use plastic reduction among Thai university students.

This study investigated the decision-making dynamics for pro-environmental behavior among Thai university students, focusing on reducing the consumption of single-use plastics (SUP). By adopting a dynamic approach to the Theory of Planned Behavior (TPB), the research examined the influence of psychosocial factors, including attitudes, perceived behavioral control, and subjective norms, on SUP reduction intention at different phases of behavior change. Using structural equation modelling, we analyzed quantitative data (n = 317) from the selected universities. The results revealed that attitudes predicted behavioral intentions only among individuals in the contemplation phase of reducing SUP. Attitudes had a small but limited influence on the behavioral intentions of students who had not yet acted. Perceived behavioral control, on the other hand, significantly impacted behavioral intentions across all phases of behavior change, highlighting its importance in SUP reduction. The study also confirmed subjective norms' positive influence on students' behavioral intentions in the pre-contemplation phase. Practical implications suggested segmenting residents based on their behavior change phase so that public policymakers can allocate resources more efficiently and effectively by tailoring campaigns to specific behavior change phases, ultimately promoting sustainable behavior among university students.

The public attitude towards ChatGPT on reddit: A study based on unsupervised learning from sentiment analysis and topic modeling.

ChatGPT has demonstrated impressive abilities and impacted various aspects of human society since its creation, gaining widespread attention from different social spheres. This study aims to comprehensively assess public perception of ChatGPT on Reddit. The dataset was collected via Reddit, a social media platform, and includes 23,733 posts and comments related to ChatGPT. Firstly, to examine public attitudes, this study conducts content analysis utilizing topic modeling with the Latent Dirichlet Allocation (LDA) algorithm to extract pertinent topics. Furthermore, sentiment analysis categorizes user posts and comments as positive, negative, or neutral using Textblob and Vader in natural language processing. The result of topic modeling shows that seven topics regarding ChatGPT are identified, which can be grouped into three themes: user perception, technical methods, and impacts on society. Results from the sentiment analysis show that 61.6% of the posts and comments hold favorable opinions on ChatGPT. They emphasize ChatGPT's ability to prompt and engage in natural conversations with users, without relying on complex natural language processing. It provides suggestions for ChatGPT developers to enhance its usability design and functionality. Meanwhile, stakeholders, including users, should comprehend the advantages and disadvantages of ChatGPT in human society to promote ethical and regulated implementation of the system.

Between Technological Utopia and Dystopia: Online Expression of Compulsory Use of Surveillance Technology.

This study investigated people's ethical concerns of surveillance technology. By adopting the spectrum of technological utopian and dystopian narratives, how people perceive a society constructed through the compulsory use of surveillance technology was explored. This study empirically examined the anonymous online expression of attitudes toward the society-wide, compulsory adoption of a contact tracing app that affected almost every aspect of all people's everyday lives at a societal level. By applying the structural topic modeling approach to analyze comments on four Hong Kong anonymous discussion forums, topics concerning the technological utopian, dystopian, and pragmatic views on the surveillance app were discovered. The findings showed that people with a technological utopian view on this app believed that the implementation of compulsory app use can facilitate social good and maintain social order. In contrast, individuals who had a technological dystopian view expressed privacy concerns and distrust of this surveillance technology. Techno-pragmatists took a balanced approach and evaluated its implementation practically.

The effect of different extreme weather events on attitudes toward climate change.

Can exposure to extreme weather change political opinion and preferences about climate change? There is a growing literature on both the effects of extreme weather events and the factors explaining attitudes toward global warming, though there remains no clear consensus about whether being exposed to extreme weather influences public opinion about climate change. We contribute to this literature by studying the impact of a variety of extreme weather events associated with climate variability, including severe storms, floods, fires, and hurricanes, on attitudes toward climate change. Specifically, we use a three-wave panel survey and a dynamic difference-in-differences design to analyze public opinion data at the individual level in the US. We find that exposure to only one extreme weather type-fires-has a small but significant effect on acknowledging the existence of climate change and supporting the need for action. However, that impact quickly vanishes, and other types of extreme weather do not appear to have any effect on opinion.

Introducing the trier univalence neutrality ambivalence (TUNA) database: A picture database differentiating complex attitudes.

Using validated stimulus material is crucial for ensuring research comparability and replicability. However, many databases rely solely on bidimensional valence ratings, ranging from negative to positive. While this material might be appropriate for certain studies, it does not reflect the complexity of attitudes and therefore might hamper the unambiguous interpretation of some study results. In fact, most databases cannot differentiate between neutral (i.e., neither positive nor negative) and ambivalent (i.e., simultaneously positive and negative) attitudes. Consequently, even presumably univalent (only positive or negative) stimuli cannot be clearly distinguished from ambivalent ones when selected via bipolar rating scales. In the present research, we introduce the Trier Univalence Neutrality Ambivalence (TUNA) database, a database containing 304,262 validation ratings from heterogeneous samples of 3,232 participants and at least 20 (M = 27.3, SD = 4.84) ratings per self-report scale per picture for a variety of attitude objects on split semantic differential scales. As these scales measure positive and negative evaluations independently, the TUNA database allows to distinguish univalence, neutrality, and ambivalence (i.e., potential ambivalence). TUNA also goes beyond previous databases by validating the stimulus materials on affective outcomes such as experiences of conflict (i.e., felt ambivalence), arousal, anger, disgust, and empathy. The TUNA database consists of 796 pictures and is compatible with other popular databases. It sets a focus on food pictures in various forms (e.g., raw vs. cooked, non-processed vs. highly processed), but includes pictures of other objects that are typically used in research to study univalent (e.g., flowers) and ambivalent (e.g., money, cars) attitudes for comparison. Furthermore, to facilitate the stimulus selection the TUNA database has an accompanying desktop app that allows easy stimulus selection via a multitude of filter options.