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
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
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