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Qualitative Research in Information Interaction: Data Gathering

Published: 10 March 2024 Publication History

Abstract

Qualitative research is essential for how people interact with information and informing the design of interactive information retrieval systems. However, it is often challenging to do well. There are a plethora of possible approaches, often complementary but sometimes at odds with each other and combining quantitative and qualitative approaches to data collection adds further complexity. In this tutorial, focusing on qualitative data collection approaches, we will provide attendees with a comprehensive toolkit of CHIIR-relevant qualitative methods, including interviews and both naturalistic and ‘in the wild’ observations. We will also support development of an agile skillset so attendees can adopt or adapt qualitative approaches to meet their research aims. We will cover a core of flexible, proven and rigorous practice that will provide a thorough grounding in how to plan and conduct high-quality rigorous research. The tutorial leaders come from different backgrounds and can provide insight into how to use qualitative methods for attendees from all disciplinary origins. On completion of the tutorial, you will be able to plan and conduct rigorous qualitative investigations into how people interact with information, with potential to result in high-impact information interaction research.

References

[1]
Cairns, P. and Cox, A.L., 2008. Research methods for human-computer interaction. Cambridge University Press.
[2]
Connaway, L.S. and Radford, M.L., 2016. Research methods in library and information science. ABC-CLIO.
[3]
Preece, J., Sharp, H., and Rogers, Y., 2015. Interaction Design. Wiley.

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CHIIR '24: Proceedings of the 2024 Conference on Human Information Interaction and Retrieval
March 2024
481 pages
ISBN:9798400704345
DOI:10.1145/3627508
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 the author(s) 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 March 2024

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Author Tags

  1. Qualitative research
  2. data analysis
  3. data collection
  4. in-the-wild
  5. interviews
  6. naturalistic
  7. observations

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  • Tutorial
  • Research
  • Refereed limited

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CHIIR '24

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Overall Acceptance Rate 55 of 163 submissions, 34%

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