Facial expressions of Asian people exposed to constructed urban forests: Accuracy validation and variation assessment
Autor: | Richard J. Hauer, Liu Ping, Hongxu Wei, Haoming Guan |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Male
Emotions Social Sciences Forests 010501 environmental sciences 01 natural sciences Facial recognition system Families Cognition Learning and Memory Urban forest Medicine and Health Sciences Psychology Children media_common Aged 80 and over Multidisciplinary Ecology 05 social sciences Software Engineering Middle Aged Terrestrial Environments Test (assessment) Facial Expression Urban ecology Child Preschool Engineering and Technology Medicine Female Anatomy Social psychology Research Article Adult China Computer and Information Sciences Adolescent media_common.quotation_subject Contempt Science Face Recognition Ecosystems 050105 experimental psychology Computer Software Young Adult Asian People Memory Perception Humans Facial Expressions 0501 psychology and cognitive sciences Urban Ecology Nonverbal Communication Aged 0105 earth and related environmental sciences Behavior Toddlers Facial expression Ecology and Environmental Sciences Cognitive Psychology Infant Biology and Life Sciences Expression (mathematics) Age Groups Face People and Places Cognitive Science Population Groupings Head Neuroscience |
Zdroj: | PLoS ONE, Vol 16, Iss 6, p e0253141 (2021) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | An outcome of building sustainable urban forests is that people’s well-being is improved when they are exposed to trees. Facial expressions directly represents one’s inner emotions, and can be used to assess real-time perception. The emergence and change in the facial expressions of forest visitors are an implicit process. As such, the reserved character of Asians requires an instrument rating to accurately recognize expressions. In this study, a dataset was established with 2,886 randomly photographed faces from visitors at a constructed urban forest park and at a promenade during summertime in Shenyang City, Northeast China. Six experts were invited to choose 160 photos in total with 20 images representing one of eight typical expressions: angry, contempt, disgusted, happy, neutral, sad, scared, and surprised. The FireFACE ver. 3.0 software was used to test hit-ratio validation as an accuracy measurement (ac.) to match machine-recognized photos with those identified by experts. According to the Kruskal-Wallis test on the difference from averaged scores in 20 recently published papers, contempt (ac. = 0.40%, P = 0.0038) and scared (ac. = 25.23%, P = 0.0018) expressions do not pass the validation test. Both happy and sad expression scores were higher in forests than in promenades, but there were no difference in net positive response (happy minus sad) between locations. Men had a higher happy score but lower disgusted score in forests than in promenades. Men also had a higher angry score in forests. We conclude that FireFACE can be used for analyzing facial expressions in Asian people within urban forests. Women are encouraged to visit urban forests rather than promenades to elicit more positive emotions. |
Databáze: | OpenAIRE |
Externí odkaz: | |
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