Research on children's prospective memory (PM) shows an increase of performance across childhood and provides first evidence that encoding strategies such as episodic future thinking (EFT; i.e., engaging in a vivid prospection of oneself performing future tasks) may improve performance. The present study aimed at testing whether the beneficial effects of EFT extend from typical lab-based tasks to more complex tasks with real life demands. Further, it was tested whether children's ability to project themselves into different perspectives (i.e., self-projection) moderates the effects of EFT encoding on PM. Overall, 56 children (mean age: M = 10.73 years) were included in this study who were randomly assigned to either an EFT or control condition. Children participated in a 'sightseeing tour' (ongoing activity) inside the lab with various socially relevant and neutral PM tasks embedded. Results showed significantly higher PM performance in the EFT compared to the control group. There was no difference between neutral and social PM tasks and no interaction between type of PM tasks with encoding condition. Further, self-projection did not moderate the effects of EFT encoding on PM. Results suggest that EFT is an effective strategy to improve children's everyday PM. These beneficial effects seem to occur independent from children's general ability to change perspectives and for different types of PM tasks.

In response to the corona pandemic, many leisure activities have been restricted while walking has been explicitly endorsed by health authorities. We investigated how leisure walking affects individuals' attitudes to the pandemic. We used Cognitive ‐ Affective Maps (CAMs) to measure individual's cognitive and affective attitudes toward the corona pandemic and related issues. In a controlled randomized experiment, we asked ( N = 66) participants to draw a CAM before and after a walk. Participants in a control group drew CAMs before and after any self‐chosen activity at home. We found that walking led to a more negative evaluation of the pandemic itself, likely due to a more intense reflection, while in everyday routines one has already adapted to it. In further qualitative post hoc assessments of the CAMs, we observed that negative concepts other than corona disappeared after walking. We conclude that leisure walks have complex effects on individuals' cognitive and affective conceptualization of the corona pandemic. Hence, the exact mechanisms of these effects need to be examined in future research. Our study has also shown that CAMs are a promising tool for measuring experimental interventions in health psychology.

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We tested a novel method for studying human experience (thoughts and affect). We utilized Cognitive-Affective Maps (CAMs)–an approach to visually represent thoughts and their affective connotations as networks of concepts that individuals associate with a given event. Using an innovative software tool, we recruited a comparative sample of (n = 93) Canadians and (n = 100) Germans to draw a CAM of their experience (events, thoughts, feelings) with the Covid-19 pandemic. We treated these CAM networks as a series of directed graphs and examined the extent to which their structural properties (latent and emotional) are predictive for the perceived coronavirus threat (PCT). Across multiple models, we found consistent and significant relationships between these network variables and the PCT in both the Canadian and German sample. Our results provide unique insights into individuals' thinking and perceptions of the viral outbreak. Our results also demonstrate that a network analysis of CAMs' properties is a promising method to study the relationship between human thought and affective connotation. We suggest that CAMs can bridge several gaps between qualitative and quantitative methods. Unlike when using quantitative tools (e.g., questionnaires), participants' answers are not restricted by response items as participants are free to incorporate any thoughts and feelings on the given topic. Furthermore, as compared to traditional qualitative measures, such as structured interviews, the CAM technique may better enable researchers to objectively assess and integrate the substance of a shared experience for large samples of participants.

In an era of ever faster and more momentous technological development, both technology assessment and transdisciplinary interventions are in danger of structurally lagging behind the speed of innovation. This paper proposes a new tiered approach to technology assessment at low Technology Readiness Levels that enables a both rapid and concerted interdisciplinary science response to this Great Acceleration. Covering sustainability, ethics, and consumer issues, this approach encourages and enables the innovators themselves to conduct assessments embedded in the innovation process as early as possible. Suitable tools for early engagement that help facilitate development-integrated assessments are introduced and described. The design and use of these instruments in the field of basic research is illustrated using the Cluster of Excellence livMatS as an example.