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Chelsea Dobbins

Datos Biográficos

ID6770560
NOMBREChelsea Dobbins
NOMBRESChelsea
APELLIDODobbins
FIRMADOBBINS C
AFILIACIONESThe University of Queensland
ORCID0000-0001-9420-2452
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS1
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2017
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • Detection of social connectedness in everyday life via multimodal lifelogging data

    Open Access•Chelsea Dobbins, Stephen Fairclough et al.•ARTICLE•International Journal of…•2026

    First study to identify physiological correlates of social disconnection in the real-world. • Detected mood-related general social connectedness using wearable devices. • Developed a social density estimation model of people within a 5m vicinity of participants. • Detected social connectedness to people nearby. • Classification models detected correlates of social connection using physiological features from wearable devices. Loneliness, low mood…

  • Effects of interacting with facial expressions and controllers in different virtual environments on presence, usability, affect, and neurophysiological signals

    Open Access•Arindam Dey, Amit Barde et al.•ARTICLE•International Journal of…•2022

  • Computer games as distraction from Pain

    Open Access•Stephen Fairclough, Kellyann Stamp et al.•ARTICLE•International Journal of…•2020

  • Personal informatics and negative emotions during commuter driving

    Open Access•Stephen Fairclough, Chelsea Dobbins•ARTICLE•International Journal of…•2020

  • MyWallMate

    Open Access•Chelsea Dobbins, Philip Denton•ARTICLE•TechTrends•2017•Citada por: 1•Referencias: 2

    Student engagement is a multifaceted and widely debated topic throughout higher education. In studying this subject, it is important to acknowledge the enhancements in students’ learning that are associated with regular attendance and active participation within taught sessions. Engaging with large numbers of students in lectures remains problematic, although the use of technology has been shown to mitigate against this issue. This includes the u…

  • MyWallMate

    Open Access•Chelsea Dobbins, Philip Denton•ARTICLE•TechTrends•2017•Citada por: 1•Referencias: 2

    Student engagement is a multifaceted and widely debated topic throughout higher education. In studying this subject, it is important to acknowledge the enhancements in students’ learning that are associated with regular attendance and active participation within taught sessions. Engaging with large numbers of students in lectures remains problematic, although the use of technology has been shown to mitigate against this issue. This includes the u…

  • MyWallMate

    Open Access•Chelsea Dobbins, Philip Denton•ARTICLE•TechTrends•2017•Citada por: 1•Referencias: 2

    Student engagement is a multifaceted and widely debated topic throughout higher education. In studying this subject, it is important to acknowledge the enhancements in students’ learning that are associated with regular attendance and active participation within taught sessions. Engaging with large numbers of students in lectures remains problematic, although the use of technology has been shown to mitigate against this issue. This includes the u…

  • Computer games as distraction from Pain

    Open Access•Stephen Fairclough, Kellyann Stamp et al.•ARTICLE•International Journal of…•2020

  • Personal informatics and negative emotions during commuter driving

    Open Access•Stephen Fairclough, Chelsea Dobbins•ARTICLE•International Journal of…•2020

  • Effects of interacting with facial expressions and controllers in different virtual environments on presence, usability, affect, and neurophysiological signals

    Open Access•Arindam Dey, Amit Barde et al.•ARTICLE•International Journal of…•2022

  • Detection of social connectedness in everyday life via multimodal lifelogging data

    Open Access•Chelsea Dobbins, Stephen Fairclough et al.•ARTICLE•International Journal of…•2026

    First study to identify physiological correlates of social disconnection in the real-world. • Detected mood-related general social connectedness using wearable devices. • Developed a social density estimation model of people within a 5m vicinity of participants. • Detected social connectedness to people nearby. • Classification models detected correlates of social connection using physiological features from wearable devices. Loneliness, low mood…

Computer Science (4 obras) · Psychology (4 obras) · Artificial Intelligence (3 obras) · Cognitive psychology (2 obras) · Digital Mental Health Interventions (2 obras) · Emotion and Mood Recognition (2 obras) · Medicine (2 obras) · Mobile device (2 obras) · Mood (2 obras) · Virtual Reality Applications and Impacts (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae