research-article

Qualitative data collection technologies: a comparison of instant messaging, email, and phone

Authors:

Jill P. Dimond,

Amy S. BruckmanAuthors Info & Claims

GROUP '12: Proceedings of the 2012 ACM International Conference on Supporting Group Work

Pages 277 - 280

https://doi.org/10.1145/2389176.2389218

Published: 27 October 2012 Publication History

Abstract

With the growing body of qualitative research on HCI and social computing, it is natural that researchers may choose to conduct that research in a mediated fashion - over telephone or computer networks. In this paper we compare three different qualitative data collection technologies: phone, instant message (IM), and email. We use quantitative analysis techniques to examine the differences between the methods specifically concerning word count and qualitative codes. We find that there are differences between the methods, and that each technology has affordances that impact the data. Although phone interviews contain four times as many words on average as email and IM, we were surprised to discover that there is no significant difference in number of unique qualitative codes expressed between phone and IM.

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Cited By

Panicker ANurain NIbrahim ZWang CHa SKaziunas EWolters MChung C(2024)Forms of Fraudulence in Human-Centered Design: Collective Strategies and Future Agenda for Qualitative HCI ResearchExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3636309(1-5)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3636309
Panicker ANurain NIbrahim ZWang CHa SWu YConnelly KSiek KChung C(2024)Understanding fraudulence in online qualitative studies: From the researcher's perspectiveProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642732(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642732
Liaqat SLiaqat DSon TFalk TWu RGershon ADe Lara EMariakakis A(2024)Promoting Engagement in Remote Patient Monitoring Using Asynchronous MessagingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642630(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642630
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Index Terms

Qualitative data collection technologies: a comparison of instant messaging, email, and phone
1. Human-centered computing

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cover image ACM Conferences

GROUP '12: Proceedings of the 2012 ACM International Conference on Supporting Group Work

October 2012

342 pages

ISBN:9781450314862

DOI:10.1145/2389176

General Chairs:
Thomas A. Finholt
University of Michigan, USA
,
Hilda Tellioğlu
Vienna University of Technology, Austria
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Tom Gross
University of Bamburg, Germany

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 27 October 2012

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Group '12: ACM 2012 International Conference on Support Group Work

October 27 - 31, 2012

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Overall Acceptance Rate 125 of 405 submissions, 31%

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https://dl.acm.org/doi/10.1145/3613905.3636309
Panicker ANurain NIbrahim ZWang CHa SWu YConnelly KSiek KChung C(2024)Understanding fraudulence in online qualitative studies: From the researcher's perspectiveProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642732(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642732
Liaqat SLiaqat DSon TFalk TWu RGershon ADe Lara EMariakakis A(2024)Promoting Engagement in Remote Patient Monitoring Using Asynchronous MessagingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642630(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642630
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