The study investigates the role of temperament in posttraumatic growth among people who experienced a death of someone close. A group of 74 participants - mostly women, aged 21 to 74 years, who lost a parent, a child, a spouse or a partner, a sibling or a very close friend completed questionnaires measuring levels of posttraumatic growth and temperamental traits. Results revealed that increased appreciation of life and improved relations to others are the most prevalent areas of posttraumatic growth. Findings (...) suggest that such temperamental traits, as emotional reactivity, and to a lesser extent briskness and endurance play significant role in posttraumatic growth. (shrink)

Introduction: As an occupational group, medical providers working with victims of trauma are prone to negative consequences of their work, particularly secondary traumatic stress symptoms. Various factors affect susceptibility to STS, including work-related and organizational determinants, as well as individual differences. The aim of the study was to establish the mediating role of cognitive trauma processing in the relationship between job satisfaction and STS symptoms among medical providers.Procedure and Participants: Results were obtained from 419 healthcare providers working with victims of (...) trauma. Three questionnaires, namely the Secondary Traumatic Stress Inventory, Work Satisfaction Scale, and Cognitive Trauma Processing Scale, were used in the study, as well as a survey developed for this research. Correlational and mediation analyses were applied to assess relations between variables.Results: The results showed significant links between STS symptoms and both job satisfaction and cognitive processing of trauma. Three cognitive coping strategies play the intermediary role in the relationship between job satisfaction and symptoms of secondary traumatic stress. However, this role varies depending on preferred strategies.Conclusion: Nurses and paramedics are significantly exposed to the occurrence of STS. Thus, it is important to engage health care providers in activities aimed at preventing and reducing symptoms of STS. (shrink)

Type D personality in Poland: Validity and application of the Polish DS14 Type D personality is an emerging risk indicator in cardiovascular disease, associated with poor patient-centered outcomes, mortality and morbidity. Little is known about the cross-cultural utility of the construct, as it has primarily been used in the Western European setting. We applied the Type D Scale to a large sample of healthy and CVD patients to validate the DS14 in Poland. DS14 was used in the sample comprised 1154 (...) persons, healthy and CVD. The internal consistency of the Polish version of the DS14 was good with Cronbach's alpha of 0.86 for negative affectivity and 0.84 for social inhibition. The 2-factor structure of the DS14 was confirmed both with exploratory and confirmatory factor analysis. Both of the DS14 subscales were internally consistent and stable over time. Using the standardized cut-off ≥10 for both NA and SI to identify those with a Type D personality, the prevalence was 72.1% in CVD patients and 34.8% in healthy. The Type D personality construct, as assessed with the DS14, seems to be applicable to the Polish setting, as the Polish DS14 was shown to be a psychometrically sound instrument. (shrink)

In online lectures, unlike in face-to-face lectures, teachers lack access to (nonverbal) cues to check if their students are still “with them” and comprehend the lecture. The increasing availability of low-cost eye-trackers provides a promising solution. These devices measure unobtrusively where students look and can visualize these data to teachers. These visualizations might inform teachers about students’ level of “with-me-ness” (i.e., do students look at the information that the teacher is currently talking about) and comprehension of the lecture, provided that (...) (1) gaze measures of “with-me-ness” are related to comprehension, (2) people not trained in eye-tracking can predict students’ comprehension from gaze visualizations, (3) we understand how different visualization techniques impact this prediction. We addressed these issues in two studies. In Study 1, 36 students watched a video lecture while being eye-tracked. The extent to which students looked at relevant information and the extent to which they looked at the same location as the teacher both correlated with students’ comprehension (score on an open question) of the lecture. In Study 2, 50 participants watched visualizations of students’ gaze (from Study 1), using six visualization techniques (dynamic and static versions of scanpaths, heatmaps, and focus maps) and were asked to predict students’ posttest performance and to rate their ease of prediction. We found that people can use gaze visualizations to predict learners’ comprehension above chance level, with minor differences between visualization techniques. Further research should investigate if teachers can act on the information provided by gaze visualizations and thereby improve students’ learning. (shrink)

Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts’ (natural or didactic) problem‐solving behavior as well as their eye movements to learners. While research on expert‐novice communication mainly focused on experts’ changes in explicit, verbal communication behavior, it is as yet unclear whether and (...) how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts’ natural problem‐solving behavior by contrasting it with that of novices. Then, we explored the changes in experts’ behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts’ automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically. (shrink)

Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts’ (natural or didactic) problem‐solving behavior as well as their eye movements to learners. While research on expert‐novice communication mainly focused on experts’ changes in explicit, verbal communication behavior, it is as yet unclear whether and (...) how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts’ natural problem‐solving behavior by contrasting it with that of novices. Then, we explored the changes in experts’ behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts’ automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically. (shrink)