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Collecting and Managing Data in Public Health Research on Autism
Drexel University, Philadelphia, PA, USA.
Drexel University, Philadelphia, PA, USA.
University West, School of Business, Economics and IT, Divison of Informatics.
University West, School of Business, Economics and IT, Divison of Informatics.
2017 (English)In: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, ACM , 2017, p. 2767-2773Conference paper, Published paper (Refereed)
Abstract [en]

Significant efforts in the CHI community have focused on supporting autism research through intervention-based work. For example, applications of mobile systems, therapeutic games, gesture-based interaction, and capture and access have been studied in the context of therapy, care, and interventions for individuals with autism spectrum disorders. In this paper, we discuss how HCI can support population-focused strategies, or a public health approach, to autism research. Public health research is focused on collecting and managing large amounts of data at the population level in order to understand aspects of autism such as early detection, lifespan outcomes, and risk factors. We discuss a research agenda for HCI that involves opportunities for innovative multidisciplinary autism research at the population level rather than the individual level.

Place, publisher, year, edition, pages
ACM , 2017. p. 2767-2773
Series
CHI EA ’17
Keyword [en]
computer-supported cooperative work, organizational information systems, public health informatics
National Category
Information Systems, Social aspects
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
URN: urn:nbn:se:hv:diva-11574DOI: 10.1145/3027063.3053261ISBN: 978-1-4503-4656-6 (print)OAI: oai:DiVA.org:hv-11574DiVA: diva2:1142706
Conference
2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems Denver, Colorado, USA — May 06 - 11, 2017
Available from: 2017-09-20 Created: 2017-09-20 Last updated: 2017-11-28Bibliographically approved

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