Asynchronous Remote Communities (ARC) for Researching Distributed Populations

Haley MacLeod; Ben Jelen; Annu Prabhakar; Lora Oehlberg; Katie Siek; Kay Connelly

10th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Asynchronous Remote Communities (ARC) for Researching Distributed Populations

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.16-5-2016.2263322,
    author={Haley MacLeod and Ben Jelen and Annu Prabhakar and Lora Oehlberg and Katie Siek and Kay Connelly},
    title={Asynchronous Remote Communities (ARC) for Researching Distributed Populations},
    proceedings={10th EAI International Conference on Pervasive Computing Technologies for Healthcare},
    publisher={ACM},
    proceedings_a={PERVASIVEHEALTH},
    year={2016},
    month={6},
    keywords={research methods focus groups remote populations facebook rare diseases},
    doi={10.4108/eai.16-5-2016.2263322}
}

Haley MacLeod
Ben Jelen
Annu Prabhakar
Lora Oehlberg
Katie Siek
Kay Connelly
Year: 2016
Asynchronous Remote Communities (ARC) for Researching Distributed Populations
PERVASIVEHEALTH
EAI
DOI: 10.4108/eai.16-5-2016.2263322

Haley MacLeod¹^,*, Ben Jelen¹, Annu Prabhakar¹, Lora Oehlberg², Katie Siek¹, Kay Connelly¹

1: Indiana University
2: University of Calgary

*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.

Keywords: research methods focus groups remote populations facebook rare diseases

Published: 2016-06-16
Publisher: ACM

: http://dx.doi.org/10.4108/eai.16-5-2016.2263322