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

Authors

  • Haley MacLeod Indiana University
  • Ben Jelen Indiana University
  • Annu Prabhakar Indiana University
  • Lora Oehlberg University of Calgary
  • Katie Siek Indiana University
  • Kay Connelly Indiana University

DOI:

https://doi.org/10.4108/eai.18-7-2017.152898

Keywords:

class file, LATEX 2ε, EAI Endorsed Transactions

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.

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Published

18-07-2017

Issue

Vol. 3 No. 11 (2017): EAI Endorsed Transactions on Pervasive Health and Technology

Section

Research article

License

Copyright (c) 2022 EAI Endorsed Transactions on Pervasive Health and Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

How to Cite

1.
MacLeod H, Jelen B, Prabhakar A, Oehlberg L, Siek K, Connelly K. A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations. EAI Endorsed Trans Perv Health Tech [Internet]. 2017 Jul. 18 [cited 2025 Nov. 4];3(11):e4. Available from: https://publications.eai.eu/index.php/phat/article/view/1309