phat 17(11): e4

Research Article

A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations

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  • @ARTICLE{10.4108/eai.18-7-2017.152898,
        author={Haley MacLeod and Ben Jelen and Annu Prabhakar and Lora Oehlberg and Katie Siek and Kay Connelly},
        title={A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={3},
        number={11},
        publisher={EAI},
        journal_a={PHAT},
        year={2017},
        month={7},
        keywords={class file, LATEX 2ε, EAI Endorsed Transactions},
        doi={10.4108/eai.18-7-2017.152898}
    }
    
  • Haley MacLeod
    Ben Jelen
    Annu Prabhakar
    Lora Oehlberg
    Katie Siek
    Kay Connelly
    Year: 2017
    A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations
    PHAT
    EAI
    DOI: 10.4108/eai.18-7-2017.152898
Haley MacLeod1,*, Ben Jelen1, Annu Prabhakar1, Lora Oehlberg2, Katie Siek1, Kay Connelly1
  • 1: School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA
  • 2: Department of Computer Science, University of Calgary, Calgary, Alberta, Canada
*Contact email: hemacleo@indiana.edu

Abstract

Existing research methods are largely intended to be conducted co-located and synchronously with a study population, but this approach is not feasible with remote or distributed populations. We describe a needs assessment study we conducted on Facebook. We report on our use of adapted versions of commonly used HCI research methods and lessons learned from this approach.