ArticleInternational journal of environmental research and public health2020
Profiles on the Orientation Discrimination Processing of Human Faces.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- The Relationship between Face Processing, Cognitive and Affective Empathy.Behavioral sciences (Basel, Switzerland) · 2022Article
- Word and Face Recognition Processing Based on Response Times and Ex-Gaussian Components.Entropy (Basel, Switzerland) · 2021Article
- Personality and Attitudes Confronting Death Awareness During the COVID-19 Outbreak in Italy and Spain.Frontiers in psychiatry · 2021Article
- Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition.Sensors (Basel, Switzerland) · 2020Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Face recognition is a crucial subject for public health, as socialization is one of the main characteristics for full citizenship. However, good recognizers would be distinguished, not only by the number of faces they discriminate but also by the number of rejected stimuli as unfamiliar. When it comes to face recognition, it is important to remember that position, to some extent, would not entail a high cognitive cost, unlike other processes in similar areas of the brain. The aim of this paper was to examine participant's recognition profiles according to face position. For this reason, a recognition task was carried out by employing the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.