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The current COVID-19 pandemic is showing negative effects on human health as well as on social and economic life. It is a critical and challenging task to revive public life while minimizing the risk of infection. Reducing interactions between people by social distancing is an effective and prevalent measure to reduce the risk of infection and spread of the virus within a community. Current developments in several countries show that this measure can be technologically accompanied by mobile apps; meanwhile, privacy concerns are being intensively discussed. The aim of this study was to examine central cognitive variables that may constitute people's motivations for social distancing, using an app, and providing health-related data requested by two apps that differ in their direct utility for the individual user. The results may increase our understanding of people's concerns and convictions, which can then be specifically addressed by public-oriented communication strategies and appropriate political decisions. This study refers to the protection motivation theory, which is adaptable to both health-related and technology-related motivations. The concept of social trust was added. The quantitative survey included answers from 406 German-speaking participants who provided assessments of data security issues, trust components, and the processes of threat and coping appraisal related to the prevention of SARS-CoV-2 infection by social distancing. With respect to apps, one central focus was on the difference between a contact tracing app and a data donation app. Multiple regression analyses showed that the present model could explain 55% of the interindividual variance in the participants' motivation for social distancing, 46% for using a contact tracing app, 42% for providing their own infection status to a contact tracing app, and 34% for using a data donation app. Several cognitive components of threat and coping appraisal were related to motivation measurements. Trust in other people's social distancing behavior and general trust in official app providers also played important roles; however, the participants' age and gender did not. Motivations for using and accepting a contact tracing app were higher than those for using and accepting a data donation app. This study revealed some important cognitive factors that constitute people's motivation for social distancing and using apps to combat the COVID-19 pandemic. Concrete implications for future research, public-oriented communication strategies, and appropriate political decisions were identified and are discussed.

Digital media have become integral to schoolchildren's lives, both within educational and non-educational settings. Educators emphasize the importance of bridging the gap between school learning and children's out-of-school activities. To identify potential variations and commonalities, we investigated key situations with digital media among lower secondary schoolchildren in Germany, aiming to determine which themes are especially relevant in different settings. We analyzed the media usage of German schoolchildren (ages 10 to 17) in class and outside of school using a mixed-method approach with a focus on the qualitative facets of key situations. For this purpose, 49 schoolchildren from seven schools were asked to complete media diaries. Over a six-week period, they documented key situations with details on setting, emotional experiences, post-communication, social support, and self-reflection. We analyzed the key situations using content and frequency analyses. The schoolchildren reported 145 key situations, from which we developed a categorization system comprising 15 distinct categories. The most reported key situations involved \"playing video games\", \"digital learning or homework\", and \"online communication or content sharing\". Most key situations (115) took place outside of school, while 30 occurring in class. Schoolchildren mostly reported key situations that involved feelings of happiness and low levels of arousal. They discussed key situations more often and in greater depth with family members and school friends, and less often with school staff or non-school friends. Key situations were discussed more often face-to-face than online. Notably, schoolchildren engaged in self-reflection on their key situations, including concerns about excessive media use. Overall, the study provides comprehensive insights into the digital media behaviors of schoolchildren, highlighting individual differences and preferences. The discussion offers valuable implications for both educational practice and future research, particularly regarding the integration of digital media into formal educational settings.

Peoples' perception of diseases and pharmaceutical drugs is a critical issue in health research. Beliefs about disease severity influence the compliance with recommendations for convalescence and the motivation to perform proper health-behavior. The estimated effectiveness of drugs and severity of side effects influence medication adherence and contribute to placebo effects. The present paper closes the gap between these effects and the concept of embodied cognition from a metaphor-enriched perspective. In five studies, we demonstrate that the bodily sensation of weight influences our evaluations of diseases and drugs. The experience of heaviness enhanced the estimated seriousness of diseases and the estimated effectiveness of drugs. The perceived seriousness of drug side effects was also affected by weight but only when drug effectiveness was not attended to. Moreover, the incidental sensation of weight shows a novel effect when evaluating weight-related drugs. The results are in line with the idea of embodied metaphors and reveal important boundary conditions which contribute to a better understanding of the underlying mechanisms.

University students faced unexpected challenges in online learning during the Covid-19 pandemic. Findings from early phases of the Covid-19 pandemic and before show that online learning experiences may vary from student to student and depend on several personal characteristics. However, the relative importance of different students’ personal characteristics for their online learning experiences at later phases of the Covid-19 pandemic is still unclear. This cross-sectional, correlational study investigates how personal characteristics of university students are related to five dimensions of online learning perception and to their engagement and performance in online courses. In an online survey, 413 students from German universities provided full information on their online learning experiences and personal characteristics in terms of demographic information, Big Five personality traits, self-regulation skills, three facets of self-efficacy, and two types of state anxiety. Results of multiple regression analyses show that students’ age was significantly positively related to all online learning perceptions and engagement in online courses. Our findings also confirm that self-regulation skills and academic and digital media self-efficacy are important factors in various online learning experiences. In contrast, students’ personality traits and state anxiety were less important for most online learning experiences. Noteworthy, several bivariate associations between personal characteristics and online learning experiences are not reflected in the multiple regression model. This underscores the need to consider relevant variables simultaneously to evaluate their relative importance and to identify key personal characteristics. Overall, our results show valuable starting points for theory development and educational interventions.

Facebook started as a platform intended for connecting people but it has developed into a rich information source. Based on the uses-and-gratification approach, we examined to what extent censorship endorsement and personality factors can explain information seeking behavior on Facebook. 1525 German-speaking Facebook users participated in a cross-sectional survey. Censorship endorsement, three personality traits (extraversion, neuroticism, and openness), age, and gender served as predictors in blockwise regression models. Participants’ information seeking behavior on Facebook served as the criterion variable, whereby we examined different behavioral strategies. Overall, the extent of one’s endorsement of censorship was positively and reliably related to different facets of information seeking. Apparently, censorship might be considered a protection measure to establish a decent communication and information space. In contrast, personality traits were inconsistently related to different facets of information seeking. Extraversion and neuroticism were positively related to information seeking in general, but their impact was absent on some subscales. The effects of age and gender differed from what has been found in previous studies. Overall, the results highlight the necessity of a more differentiated perspective on social media use, provide implications for uses-and-gratification research in the context of social media, and indicate interesting venues for future research by incorporating censorship attitude as a hitherto neglected factor.

Given the increasing digitalization of education and the variety of available digital learning materials (dLMs) of differing quality, (pre-service) teachers must develop the ability to select appropriate dLMs. Objective, reliable, and valid assessment instruments are necessary to evaluate the effectiveness of that development. This study conceptualized and designed an economical four-item instrument for assessing “selecting dLMs” based on accepted frameworks and competence models. The scientific quality of the instrument was evaluated in Study 1 (n = 164) with four dLMs and empirically investigated in a subsequent Study 2 (n = 395) with pre-service mathematics teachers from two universities. The empirical results indicate that the instrument could objectively and reliably gauge different levels of “selecting dLMs”. Furthermore, the results are consistent with the widely accepted notion that the competence of “selecting dLMs” depends on (content) knowledge; however, that relation was not strong. In addition, the results for objectively assessing “selecting dLMs” paralleled the results of self-assessed TPACK in terms of the academic progression of participants. The proposed approach allows for variations and integration of diverse dLMs, and it has the potential to be adapted in other subject areas and contexts.

Holding companies accountable for their decisions’ environmental side effects becomes increasingly important in the light of current debates on the climate crisis. The present study investigated a young sample’s ( n  = 925) causal and moral responsibility attributions to a company’s manager and their subordinate employee, who were either young or middle-aged. The agents jointly made a profit-oriented decision which either harmed or helped the environment. Results were analyzed with respect to the valence of the side effect, the agents’ social role, the agents’ age group, and participants’ affective state. We successfully replicated findings from prior studies, showing that more intention and moral responsibility is ascribed to the manager in case of a negative side effect than in case of a positive side effect, and that the manager deserves more blame for negative side effects than the employee, whereas the employee deserves more praise for positive side effects. Additionally, responsibility attributions varied with the agents’ age group, participants’ positive and negative affective state, and participants’ gender. By incorporating these hitherto neglected factors, the study complements existing theories of responsibility attribution and intergroup perception. The findings further highlight the contribution of affective mechanisms as driving factors of responsibility attributions. Combining moral responsibility research, intergroup research, and affective measures promises to foster the understanding of how and to whom people ascribe blame, praise, and causal responsibility for environmental consequences.

Based on the frameworks of dual-process theories, we examined the interplay between intuitive and controlled cognitive processes related to moral and social judgments. In a virtual reality (VR) setting we performed an experiment investigating the progression from fast, automatic decisions towards more controlled decisions over multiple trials in the context of a sacrificing scenario. We repeatedly exposed participants to a modified ten-to-one version and to three one-to-one versions of the trolley dilemma in VR and varied avatar properties, such as their gender and ethnicity, and their orientation in space. We also investigated the influence of arousing music on decisions. Our experiment replicated the behavioral pattern observed in studies using text versions of the trolley dilemma, thereby validating the use of virtual environments in research on moral judgments. Additionally, we found a general tendency towards sacrificing male individuals which correlated with socially desirable responding. As indicated by differences in response times, the ten-to-one version of the trolley dilemma seems to be faster to decide than decisions requiring comparisons based on specific avatar properties as a result of differing moral content. Building upon research on music-based emotion induction, we used music to induce emotional arousal on a physiological level as measured by pupil diameter. We found a specific temporal signature displaying a peak in arousal around the moment of decision. This signature occurs independently of the overall arousal level. Furthermore, we found context-dependent gaze durations during sacrificing decisions, leading participants to look prolonged at their victim if they had to choose between avatars differing in gender. Our study confirmed that moral decisions can be explained within the framework of dual-process theories and shows that pupillometric measurements are a promising tool for investigating affective responses in dilemma situations.

The present study investigated the dynamic of the attention focus during observation of different categories of complex scenes and simultaneous consideration of individuals' memory and motivational state. We repeatedly presented four types of complex visual scenes in a pseudo-randomized order and recorded eye movements. Subjects were divided into groups according to their motivational disposition in terms of action orientation and individual rating of scene interest.Statistical analysis of eye-tracking data revealed that the attention focus successively became locally expressed by increasing fixation duration; decreasing saccade length, saccade frequency, and single subject's fixation distribution over images; and increasing inter-subject variance of fixation distributions. The validity of these results was supported by verbal reports. This general tendency was weaker for the group of subjects who rated the image set as interesting as compared to the other group. Additionally, effects were partly mediated by subjects' motivational disposition. Finally, we found a generally strong impact of image type on eye movement parameters. We conclude that motivational tendencies linked to personality as well as individual preferences significantly affected viewing behaviour. Hence, it is important and fruitful to consider inter-individual differences on the level of motivation and personality traits within investigations of attention processes. We demonstrate that future studies on memory's impact on overt attention have to deal appropriately with several aspects that had been out of the research focus until now.

Video games frequently contain loot boxes, i.e. virtual in-game items sharing structural similarities with gambling. On YouTube © , there are multi-million subscriber channels prominently featuring loot box-related content. A gamblification of digital games may increase player engagement, and we tested if user engagement on YouTube is linked to loot box content. We extracted aggregate user engagement measures from more than 22 thousand YouTube gaming videos with and without focused display of loot boxes. Principal component analysis was used to reduce dimensionality and derive components reflecting overall and sustained, and relative user engagement, respectively. Confirming our pre-registered hypothesis (see https://osf.io/nh7zr ), a significant effect of loot box content on the first principal component was found, reflecting higher overall and sustained user engagement for videos featuring loot box content. This increased engagement may be linked to the gambling-like properties of the reward structure conveyed by loot boxes. Publicly available user data may serve as an early indicator of potential changes in problematic internet use and gambling-related behaviour.