Informing design through sociocultural values: Co- creation with low-income african-American older adults

Christina N. Harrington, Anne Marie Piper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Researchers in HCI and health informatics are often tasked with identifying criteria and content for health technologies based on user demographics, medical conditions, and context of system use. Little work has examined the intersectionality of sociocultural factors (age, ethnicity, socioeconomic status) and whether these factors influence health technologies as a viable or appropriate solution for certain populations based on their perceptions of health. Our work focuses on developing a better understanding of the health-related perceptions and behaviors of low-income African American older adults, as this population often sees a higher incidence of chronic illnesses and disease. Our approach builds off of semi-structured interviews as a way of informing a series of co-creation workshops, which aim to identify this population's concepts of healthy aging and the role of technology in health maintenance.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018
PublisherAssociation for Computing Machinery
Pages294-298
Number of pages5
ISBN (Electronic)9781450364508
DOIs
StatePublished - May 21 2018
Event12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 - New York, United States
Duration: May 21 2018May 24 2018

Other

Other12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018
CountryUnited States
CityNew York
Period5/21/185/24/18

Keywords

  • Culture
  • Health technologies
  • Intersectionality
  • Older adults

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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