Driving errors,estimated performance and individual characteristics under simulated and real road traffic conditions – A validation study

BackgroundThe suitability of driving simulators for the prediction of driving behaviour in road traffic has been able to be confirmed in respect of individual assessment parameters. However, there is a need for overarching approaches that take into account the interaction between various influencing factors in order to establish proof of validity. The aim of this study was to explore the validity of our driving simulator in respect of its ability to predict driving behaviour based on participants‘ observed driving errors and driver’s individual characteristics.Method41 healthy participants were assessed both in a Smart-Realo-Simulator and on the road. By means of linear modelling, the correlation between observed driving errors was investigated. In addition, the influence of self-reported and externally assessed driving behaviour as well as individual parameters (education and training; driving history) were analysed.ResultsBy including these factors, 58% of the variance could be explained. For observed driving errors, a relative validity was established. For self-reported and externally assessed driving behaviour, an absolute to relative validity emerged. The amount of time spent in education and training proved to have a significant influence on driving performance in the simulator, but not on the road.DiscussionIn general, our results confirmed the validity of our driving simulator with regard to observed and self-reported driving behaviour. It emerged that education and training as potential indicators of cognitive resources played a differential role regarding the study conditions. Since real road driving is considerably automated in experienced drivers, this result suggests that simulation-related behavioural regulation is challenged by additional cognitive demands as opposed to behavioural regulation extending to real road driving. However, the source of these additional cognitive demands remains currently elusive and may form the subject of future research.     

Selection bias in social facilitation theory? Audience effects on elite biathletes' performance are gender-specific

Social facilitation proves robust in conditioning tasks (e.g., running), yet in coordination tasks (e.g., rifle-shooting) some studies report performance deterioration. Recent Biathlon World Cup data offered the unique opportunity to test this task-specificity (conditioning = cross country skiing, coordination = rifle-shooting). Audience restrictions due to COVID-19 allowed to compare athletes' performance in the absence (2020) and presence (season 2018/2019) of an audience. Gender-specific regulations (e.g., course length) necessitated the inclusion of gender as additional factor. Results of 83 (sprint competition) and 34 (mass start competition) biathletes revealed that task-specific social facilitation is moderated by gender: In the presence of an audience male biathletes showed performance improvements in the conditioning task and performance deteriorations in the coordination task; female biathletes showed the reverse pattern. This gender dependency may have gone unnoticed in the past due to sample selection bias (<1/3 female), thereby questioning the generalizability of social facilitation theory.     

Does instrumental motivation help students with low intrinsic motivation? Comparison between Western and Confucian students

The research examines possible differences in the mutual reinforcement (i.e. multiplicative) effect between intrinsic and instrumental motivation on academic performance across different cultures. Eight representative countries and economies from two large-scale databases—the Trends in International Mathematics and Science Study (TIMSS) 2011 and the Programme for International Student Assessment (PISA) 2012—were used, respectively. Results showed that among the Confucian economies, instrumental motivation was more helpful in improving the mathematics performance of students with low intrinsic motivation than for those with high intrinsic motivation. This was shown by the multiplicative effect between intrinsic and instrumental motivation. Despite the difference, students in both Confucian and Western cultures with high intrinsic motivation had better mathematics performance than students with low intrinsic motivation.     

Does expertise and thinking mode matter for accuracy in judgments of job applicants’ cognitive ability?

The present research examined the role of thinking mode for accuracy in recruiters and laypeople’s judgments of applicants’ cognitive ability. In Study 1, students who relied on their intuition were somewhat less accurate. In Study 2, an experimental manipulation of thinking mode (intuitive vs analytical) revealed no apparent differences in accuracy. Moreover, there were no differences in accuracy or agreement between recruiters and laypeople. Examination of the use of specific resume content suggested that intuitive thinking corresponds to basing one’s judgments more on the way that applicants present themselves in their personal letter and less on diagnostic biographical information such as SAT scores. The findings point to the possibility that professional recruiters may not possess intuitive expertise in this context.