Exploring the motion advantage: evaluating the contribution of familiarity and differences in facial motion

Seeing a face move can improve familiar face recognition, face matching, and learning. More specifically, familiarity with a face may facilitate the learning of an individual's “dynamic facial signature”. In the outlined research we examine the relationship between participant ratings of familiarity, the distinctiveness of motion, the amount of facial motion, and the recognition of familiar moving faces (Experiment 1) as well as the magnitude of the motion advantage (Experiment 2). Significant positive correlations were found between all factors. Findings suggest that faces rated as moving a lot and in a distinctive manner benefited the most from being seen in motion. Additionally findings indicate that facial motion information becomes a more important cue to recognition the more familiar a face is, suggesting that “dynamic facial signatures” continue to be learnt over time and integrated within the face representation. Results are discussed in relation to theoretical explanations of the moving face advantage. </jats:p

Multisite recruitment and data collection among older adults : exploring methods to conserve human and financial resources.

The purpose of this article is to describe strategies that were effective in recruitment and data collection among older adults in 3 quantitative studies while decreasing costs in terms of time and money. Factors effective in reducing use of investigators\u27 time and expenses included limiting exclusion of data because of abnormal Mini-Cog scores by careful initial screening and avoiding repeated reminders or follow-up, collecting data in small groups, collapsing consent, dementia screening, and data collection into single sessions, as well as accommodating for sensory and literacy deficits. The cross-sectional, descriptive studies were conducted among community-dwelling older adults attending senior citizen centers and among older adults in independent or assisted living apartments within continuing care retirement communities (CCRCs). 1 In the latest study, a convenience sample (N = 152) was recruited and data collection was completed in 4 weeks at a total cost of less than $5,000. Methods common to qualitative research and those commonly used in community-based research were adapted to reduce time and costs for recruitment, screening, and data collection. Given limited availability of research funding, other nursing researchers may find one or more of these methods useful

Attentional Features of Mindfulness are Better Predictors of Face Recognition than Empathy and Compassion-Based Constructs

open access articleRecent research has employed measures of either empathy, compassion or mindfulness and linked better face recognition memory to higher scores of identification with all humanity and mindfulness but not empathy or compassion. Additionally, empathy, compassion and mindfulness have been suggested as concepts that intertwine, but research has not yet examined how their respective personality questionnaires map onto latent concepts. We employed these measures together to explore their factor structure and, using structural equation modelling, we investigated if the suggested latent variables predict recognition memory performance for face and non-face stimuli. Attentional notions of mindfulness described a latent factor that predicted face recognition. All self-compassion facets and the non-react mindfulness facet described a latent factor, which predicted false alarms in face recognition. Finally, empathy and compassion-based notions described one latent factor, which did not predict recognition performance. None of the latent variables predicted performance in either object or voice recognition. Collectively, findings indicate attention-based mindfulness to benefit face recognition, prompting further research into the potential of mindfulness to support the face recognition process

Former land use affects the nitrogen and phosphorus concentrations and biomass of forest herbs

The colonization rates of understorey plants into forests growing on former agricultural land differ remarkably among species. Different dispersal and recruitment largely account for the contrasting colonization rates, but different effects of the soil legacies of former agricultural land use on plant performance may also play a role. Seven herbaceous forest species were sampled in paired post-agricultural and ancient forest stands to study whether land-use history has an effect on the aboveground nutrient concentrations (N, P and N:P ratios) and biomass of forest herbs and, if so, whether slow and fast colonizing species respond differently. Results showed that P concentrations were significantly affected by former land use with higher concentrations in the post-agricultural stands. N concentrations were unaffected and N:P ratios were significantly higher in the ancient stands. Nutrient concentrations varied considerably among species, but the variation was unrelated to their colonization capacity. Six out of the seven species had higher biomass in the post-agricultural stands relative to the ancient stands, and the degree to which the species increased biomass was positively related to their colonization capacity, i.e., the fast colonizing species showed the strongest increase. Such differential responses to past land use may contribute to the contrasting colonization capacity of forest plants. Land-use history thus affected both the nutrient concentrations and biomass of forest herbs, and only the biomass response was related to colonization capacity

The effect of motion at encoding and retrieval for same- and other-race face recognition

In an experimental study, we assessed the role of motion when encoding and recognizing unfamiliar faces, using an old/new recognition memory paradigm. Our findings revealed a clear advantage for learning unfamiliar faces moving non-rigidly, compared with static faces. This advantage for motion was found with both same- and other-race faces. Furthermore, results indicate that it is more important that the face is learnt in motion than recognized from a moving clip. Interestingly, despite a reliable other-race effect being revealed, participants were able to utilize motion information exhibited by other-race faces in a manner akin to the motion advantage found for same-race faces. The implications of these findings are discussed in relation to the nature of the stored face representations, considering whether the facilitative role found here can be explained by factors other than motion per se.</p

Why Are Some People Better at Recognising Faces Than Others?

From Frontiers via Jisc Publications RouterHistory: received 2020-08-21, collection 2021, accepted 2021-09-02, epub 2021-10-21Publication status: PublishedImagine you lose sight of your friends (or parents) for a moment while you are out at the park. You glance around and then spot them in the distance. You easily pick them out from all the other people in the park and you correctly identify them. This process is called familiar face recognition. For most of us, this process seems easy and generally people are good at recognising familiar faces. However, a few people really struggle to recognise the people around them. Other people are “super-recognisers” who have an extraordinary ability to recognise faces very accurately. How good are you at recognising faces? In this article, we outline why some people are better (or worse) at recognising faces and explore the possible importance of brain differences, mental processes, and personality in this ability

Why Are Some People Better at Recognising Faces Than Others?

Imagine you lose sight of your friends (or parents) for a moment while you are out at the park. You glance around and then spot them in the distance. You easily pick them out from all the other people in the park and you correctly identify them. This process is called familiar face recognition. For most of us, this process seems easy and generally people are good at recognising familiar faces. However, a few people really struggle to recognise the people around them. Other people are “super-recognisers” who have an extraordinary ability to recognise faces very accurately. How good are you at recognising faces? In this article, we outline why some people are better (or worse) at recognising faces and explore the possible importance of brain differences, mental processes, and personality in this ability