Research Article
A Guide to Using Asynchronous Remote Communities (ARC) for Researching Distributed Populations
@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
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.
Copyright © 2017 Haley MacLeod et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
