Recognizing facially expressed emotions in videos of people with visual impairments in online settings.
BACKGROUND: Facial expressions are critical for conveying emotions and facilitating social interaction. Yet, little is known about how accurately sighted individuals recognize emotions facially expressed by people with visual impairments in online communication settings. OBJECTIVE: This study aimed...
| Publicado en: | Technology & Disability Vol. 36; no. 4; pp. 199 - 209 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182056183&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182056183 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10554181 3QS jtl: Technology & Disability issn: 10554181 maglogo: N pubinfo: dt: Dec2024 vid: 36 iid: 4 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 182056183 182056183 182056183 10.1177/10554181241301888 182056183 ppf: 199 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Recognizing facially expressed emotions in videos of people with visual impairments in online settings. aug: au: Kim, Hyung Nam affil: North Carolina Agricultural and Technical State University, Greensboro, NC, USA sug: subj: Face Perception Facial Expression Education Emotions Videorecording Persons with Disabilities Education Vision Disorders Internet Outcomes of Education Human Convenience Sample Adult Male Female Happiness Sadness Anger Fear Disgust Cues Descriptive Statistics Chi Square Test Data Analysis Software Funding Source Adult: 19-44 years Male Female ab: BACKGROUND: Facial expressions are critical for conveying emotions and facilitating social interaction. Yet, little is known about how accurately sighted individuals recognize emotions facially expressed by people with visual impairments in online communication settings. OBJECTIVE: This study aimed to investigate sighted individuals' ability to understand facial expressions of six basic emotions in people with visual impairments during Zoom calls. It also aimed to examine whether education on facial expressions specific to people with visual impairments would improve emotion recognition accuracy. METHODS: Sighted participants viewed video clips of individuals with visual impairments displaying facial expressions. They then identified the emotions displayed. Next, they received an educational session on facial expressions specific to people with visual impairments, addressing unique characteristics and potential misinterpretations. After education, participants viewed another set of video clips and again identified the emotions displayed. RESULTS: Before education, participants frequently misidentified emotions. After education, their accuracy in recognizing emotions improved significantly. CONCLUSIONS: This study provides evidence that education on facial expressions of people with visual impairments can significantly enhance sighted individuals' ability to accurately recognize emotions in online settings. This improved accuracy has the potential to foster more inclusive and effective online interactions between people with and without visual disabilities. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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