Social factors influence solo and rat dyads exploration of an unfamiliar open field

Animal Cognition - Exploring new and unfamiliar environments is critical for survival, providing information on food, shelter, mates, and sources of danger. The open field paradigm is commonly used...     

Rice-farming areas report more anxiety across two years of the COVID-19 pandemic in China

Cultures responded to the COVID-19 pandemic differently. We investigated cultural differences in mental health during the pandemic. We found regional differences in people's reports of anxiety in China over two years from 2020 to 2021 (N = 1186). People in areas with a history of rice farming reported more anxiety than people in wheat-farming areas. Next, we explored more proximal mechanisms that could help link the distal, historical factor of rice farming to people's modern experience of anxiety. Rice areas scored higher on collectivism and tight social norms than wheat areas, and collectivism, rather than norm tightness, mediated the rice-anxiety relationship. These findings advance our understanding of the distal sources of cultural differences, the proximal mechanisms, and mental health problems during the pandemics.     

An evaluation of the convergent validity of a face-to-face and virtual neuropsychological assessment counter balanced

The COVID-19 pandemic has highlighted the need for further research evaluating the validity of conducting a battery of neuropsychological assessments virtually compared with face-to-face administration. Previous research has suggested that some neuropsychological assessments yield valid results when administered virtually, however, much of the previous research focused on older adults. To determine the validity of virtually administered neuropsychological tests, 28 healthy participants were assessed using a within-subjects, counter-balanced design. Participants completed a neuropsychological assessment battery covering tests of general intellectual functioning, memory and attention, executive functioning, language and information processing speed, as well as effort. There was no significant difference between face-to-face administration of the neuropsychological battery compared with virtual administration for the majority of the tests used. However, there were significant differences in the Colour Naming Task, with participants making fewer errors on the colour naming task and inhibition/switching task when administered virtually compared with face-to-face administration. There was also a significant age cohort effect in the inhibition/switching task. There was also a trending significant difference in mode of administration for the Verbal Fluency Task. Virtually administered neuropsychological assessments largely provide a valid alternative to face-to-face assessments; however, consideration must be given to test selection as well as the population of participants that are being assessed. Other important considerations must focus on preserving the security and integrity of test materials, as well as administration in a medico-legal setting. Future research should focus on validating assessments with specific patient populations and developing a neuropsychological assessment battery using information technology.     

Mapping physical characteristics in face images to social judgements

Sutherland and Young (Br. J. Psychol., 113, 2022, 1056) provide a comprehensive and timely overview of recent developments in research on social judgements of faces, emphasizing the utility of data-driven approaches. Here, we expand on this theme, focusing on how data-driven approaches can provide new insights into the physical characteristics in face images that best predict social judgements.     

We need to move beyond rating scales,white faces and adult perceivers: Invited Commentary on Sutherland & Young (2022), understanding trait impressions from faces

Sutherland and Young's perspective is a timely and rigorous examination of trait impressions based on facial cues. We propose three strtegies to further advance the field: incorporating natural language processing, including diverse facial stimuli, and re-interpreting developmental data.