What’s Driving Me? Exploration and Validation of a Hierarchical Personality Model for Trust in Automated Driving

2020 ◽  
pp. 001872082092265
Author(s):  
Johannes Kraus ◽  
David Scholz ◽  
Martin Baumann
Keyword(s):  
Personality Traits ◽  
User Interfaces ◽  
Structural Equation ◽  
Interpersonal Trust ◽  
A Priori ◽  
Self Esteem ◽  
Equation Modeling ◽  
Automated Driving ◽  
Final Model ◽  
Trust In Automation

Objective This paper presents a comprehensive investigation of personality traits related to trust in automated vehicles. A hierarchical personality model based on Mowen’s (2000) 3M model is explored in a first and replicated in a second study. Background Trust in automation is established in a complex psychological process involving user-, system- and situation-related variables. In this process, personality traits have been viewed as an important source of variance. Method Dispositional variables on three levels were included in an exploratory, hierarchical personality model (full model) of dynamic learned trust in automation, which was refined on the basis of structural equation modeling carried out in Study 1 (final model). Study 2 replicated the final model in an independent sample. Results In both studies, the personality model showed a good fit and explained a large proportion of variance in trust in automation. The combined evidence supports the role of extraversion, neuroticism, and self-esteem at the elemental level; affinity for technology and dispositional interpersonal trust at the situational level; and propensity to trust in automation and a priori acceptability of automated driving at the surface level in the prediction of trust in automation. Conclusion Findings confirm that personality plays a substantial role in trust formation and provide evidence of the involvement of user dispositions not previously investigated in relation to trust in automation: self-esteem, dispositional interpersonal trust, and affinity for technology. Application Implications for personalization of information campaigns, driver training, and user interfaces for trust calibration in automated driving are discussed.

scholarly journals Factor Structure of the Intelligence and Development Scales–2: Measurement Invariance Across the Dutch and German Versions, Sex, and Age

2021 ◽  
Author(s):  
Silvia Grieder ◽  
Marieke Timmerman ◽  
Linda Visser ◽  
Selma Anne José Ruiter ◽  
Alexander Grob
Keyword(s):  
Measurement Invariance ◽  
Factor Structure ◽  
Visual Processing ◽  
Structural Equation ◽  
Basic Skills ◽  
A Priori ◽  
Selection Procedure ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Final Model

We examined the factor structure of the intelligence and basic skills domains of the German and Dutch versions of an international test battery with 13 representative national standardizations (among others, Italian, Polish, U.K.)—the Intelligence and Development Scales–2 (IDS-2)—with confirmatory factor analyses (CFA) of the standardization samples. This included measurement invariance analyses across the Dutch and German versions and sex using multiple-group CFA, and across age using local structural equation modeling (LSEM). We tested several a priori theoretically (mostly following the Cattell–Horn–Carroll and verbal–perceptual–image rotation models) and empirically (with EFA) determined models and found a second-order model with six first-order factors best represented the Dutch IDS-2 structure. Five IDS-2 factors were confirmed, but Visual Processing and Abstract Reasoning and the intelligence and basic skills domains were not separable. This final model displayed full invariance across the Dutch and German versions and partial scalar invariance across sex, and it was largely invariant across ages 7 to 20 years. Thus, scores derived according to this final model will be comparable across these language versions, sex, and age. The strong general intelligence factor and weak broad ability factors suggest clinical interpretation should mainly be based on the full-scale IQ. We discuss the importance of testing multiple plausible models and adhering to a strict model selection procedure in CFA and implications for intelligence theory and clinical practice.

Two Routes to Trust Calibration

2022 ◽  
pp. 910-929
Author(s):  
Johannes Maria Kraus ◽  
Yannick Forster ◽  
Sebastian Hergeth ◽  
Martin Baumann
Keyword(s):  
Personality Traits ◽  
Regulatory Focus ◽  
A Priori ◽  
A Priori Information ◽  
Automated Driving ◽  
Online Study ◽  
Cad System ◽  
Trust In Automation ◽  
Likelihood Model ◽  
Priori Information

Trust calibration takes place prior to and during system interaction along the available information. In an online study N = 519 participants were introduced to a conditionally automated driving (CAD) system and received different a priori information about the automation's reliability (low vs high) and brand of the CAD system (below average vs average vs above average reputation). Trust was measured three times during the study. Additionally, need for cognition (NFC) and other personality traits were assessed. Both heuristic brand information and reliability information influenced trust in automation. In line with the Elaboration Likelihood Model (ELM), participants with high NFC relied on the reliability information more than those with lower NFC. In terms of personality traits, materialism, the regulatory focus and the perfect automation scheme predicted trust in automation. These findings show that a priori information can influence a driver's trust in CAD and that such information is interpreted individually.

Two Routes to Trust Calibration

2019 ◽  
Vol 11 (3) ◽  
pp. 1-17 ◽  
Author(s):  
Johannes Maria Kraus ◽  
Yannick Forster ◽  
Sebastian Hergeth ◽  
Martin Baumann
Keyword(s):  
Personality Traits ◽  
Regulatory Focus ◽  
A Priori ◽  
A Priori Information ◽  
Automated Driving ◽  
Online Study ◽  
Cad System ◽  
Trust In Automation ◽  
Likelihood Model ◽  
Priori Information

Trust calibration takes place prior to and during system interaction along the available information. In an online study N = 519 participants were introduced to a conditionally automated driving (CAD) system and received different a priori information about the automation's reliability (low vs high) and brand of the CAD system (below average vs average vs above average reputation). Trust was measured three times during the study. Additionally, need for cognition (NFC) and other personality traits were assessed. Both heuristic brand information and reliability information influenced trust in automation. In line with the Elaboration Likelihood Model (ELM), participants with high NFC relied on the reliability information more than those with lower NFC. In terms of personality traits, materialism, the regulatory focus and the perfect automation scheme predicted trust in automation. These findings show that a priori information can influence a driver's trust in CAD and that such information is interpreted individually.

The Schoolwork Engagement Inventory

2012 ◽  
Vol 28 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Katariina Salmela-Aro ◽  
Katja Upadaya
Keyword(s):  
Secondary School ◽  
Concurrent Validity ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Older Students ◽  
School Students ◽  
Factor Solution ◽  
Upper Secondary

This study introduces the Schoolwork Engagement Inventory (EDA), which measures energy, dedication, and absorption with respect to schoolwork. Structural equation modeling was used to assess the validity and reliability of the inventory among students attending postcomprehensive schools. A total of 1,530 (769 girls, 761 boys) students from 13 institutions (six upper-secondary and seven vocational schools) completed the EDA 1 year apart. The results showed that a one-factor solution had the most reliability and fitted best among the younger students, whereas a three-factor solution was most reliable and fit best among the older students. In terms of concurrent validity, depressive symptoms and school burnout were inversely related, and self-esteem and academic achievement were positively associated with EDA. Boys and upper-secondary-school students experienced lower levels of schoolwork engagement than girls and vocational-school students.

Cross-Lagged Relationships Between Self-Esteem, Self-Construal, and Happiness in a Three-Wave Longitudinal Study

2019 ◽  
Vol 40 (3) ◽  
pp. 177-185
Author(s):  
Daniela Moza ◽  
Laurențiu Maricuțoiu ◽  
Alin Gavreliuc
Keyword(s):  
Structural Equation ◽  
Time Lag ◽  
Self Esteem ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Self Construal ◽  
Self Worth ◽  
Practical Implications ◽  
Independent Person

Abstract. Previous research established that an independent construal of the self is associated with higher self-esteem, which, in turn, is associated with increased happiness. Regarding the directionality of these relationships, theoretical arguments have suggested that self-construal precedes self-esteem and that self-esteem precedes happiness. However, most research in this area is cross-sectional, thus limiting any conclusions about directionality. The present study tested these relationships in 101 Romanian undergraduates using a 3-wave cross-lagged design with a 6-month time lag between every two waves. Structural equation modeling analyses revealed that self-esteem is an antecedent of both happiness and dimensions of independent self-construal (i.e., consistency vs. variability and self-expression vs. harmony). In other words, one’s positive evaluation of self-worth precedes one’s self-perception as being a happy and independent person. The findings are discussed with respect to the theoretical and practical implications, along with limitations and suggestions for future research.

Gender and Organizational Conflict Management: The Mediating Role of Personality

2018 ◽  
Author(s):  
Maciej Kościelniak ◽  
Jarosław Piotrowski ◽  
Magdalena Żemojtel-Piotrowska
Keyword(s):  
Conflict Management ◽  
Personality Traits ◽  
Structural Equation ◽  
Online Survey ◽  
Conflict Behavior ◽  
Equation Modeling ◽  
Conflict Management Styles ◽  
Mediating Role ◽  
Big Five Model

Many authors examined the interplay between gender and conflict management preferences, but those findings were often mixed and inconsistent. In the current paper we tried to explain those inconsistencies by investigating the mediating role of personality for the relationship of gender and conflict management. Rahim's inventory was used for identifying five conflict management styles, and Big Five Model theory was a base for assessing participants' personality traits. Data were collected from a sample of 1,055 working Poles (52.7% women), in an online survey. Based on the structural equation modeling we detected multiple indirect mediating paths of gender on conflict management via personality traits, while no direct effect of gender was observed. Despite some limitations, the study sheds light on the actual role of gender in conflict behavior and the importance of personality traits in the conflict management, both from a theoretical and practical perspective.

scholarly journals Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

2019 ◽  
Vol 16 (24) ◽  
pp. 4881 ◽  
Author(s):  
Yubing Zheng ◽  
Yang Ma ◽  
Nan Li ◽  
Jianchuan Cheng
Keyword(s):  
Personality Traits ◽  
Road Safety ◽  
Sensation Seeking ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Equation Modeling ◽  
Online Questionnaire ◽  
Road Crashes ◽  
Crash Rates ◽  
Model Combining

In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

scholarly journals Relationships between Social Capital, Social Capital Satisfaction, Self-Esteem, and Depression among Elderly Urban Residents: Analysis of Secondary Survey Data

2019 ◽  
Vol 16 (8) ◽  
pp. 1445 ◽  
Author(s):  
Lee ◽  
Lee ◽  
Song
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Panel Study ◽  
Self Esteem ◽  
Equation Modeling ◽  
Urban Residents ◽  
Elderly Persons ◽  
Capital Social ◽  
Psychological Variables ◽  
Research Attention

The role that psychological variables play in depression among elderly urban residents has received little research attention. Therefore, the purpose of this study was to examine the relationships between social capital, social capital satisfaction, self-esteem, and depression among elderly urban residents. We used the responses provided by 701 elderly persons to scales assessing social capital (i.e., network, trust), social capital satisfaction, self-esteem, and depression, as part of the Korea Welfare Panel Study (KOWEPS). We conducted a confirmatory factor analysis and tested the validity of a proposed statistical model using structural equation modeling (SEM). The results showed that trust in social capital, social capital satisfaction, and self-esteem were significantly related to depression. Further, social capital satisfaction and self-esteem fully and partially mediated the relationship between trust and depression, respectively. These findings serve as an empirical base upon which social welfare policies can be founded that benefit elderly urban residents with weak social capital, low social capital satisfaction, and poor self-esteem.

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