Age group stereotypes (AGS), especially those targeting old age, affect an individual's behavior and long-term cognitive and physiological functioning. Conventional paradigms investigating the related mechanisms lack validity and stability. Our novel approach for the activation of self-relevant AGS uses a virtual reality (VR) ageing experience, measuring relevant effects on performance parameters.
View Article and Find Full Text PDFThe projection into a virtual character and the concomitant illusionary body ownership can lead to transformations of one's entity. Both during and after the exposure, behavioural and attitudinal changes may occur, depending on the characteristics or stereotypes associated with the embodied avatar. In the present study, we investigated the effects on physical activity when young students experience being old.
View Article and Find Full Text PDFStud Health Technol Inform
September 2021
Introduction: While virtual reality (VR) is an emerging paradigm in a variety of research contexts, VR-based embodiment effects on behavior and performance still lack in sufficient evidence regarding to bias in cognitive performance assessment.
Methods: In this methodological observational study, we compare the VR measurement of cognitive performance with a conventional computer-based testing approach in real life (RL) in younger and older adults. The differences between VR and RL scenarios are investigated using the background of two theoretical models from cognitive psychology.
Objectives: Socio-emotional selectivity theory implies that an individual's motives change over their lifespan, starting with a focus on information seeking and shifting toward the motivation of maintaining emotionally meaningful social relationships in old age. The concept of future time perspective serves as an underlying mechanism for this phenomenon.
Methods: This study aimed to capture how social motivation changes as a result of the manipulation of one's own visual appearance.
The concept of acute stress disorder (ASD) was introduced as a diagnostic entity to improve the identification of traumatized people who are likely to develop posttraumatic stress disorder (PTSD). Neuroanatomical models suggest that changes in the prefrontal cortex, amygdala, and hippocampus play a role in the development of PTSD. Using voxel-based morphometry, this study aimed to investigate the predictive power of gray matter volume (GMV) alterations for developing PTSD.
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