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Using Data-Prompted Interviews in Interactive Information Retrieval Research : A Reflection on The Study of Self-Efficacy When Learning Using Search Cole, Amelia W.; O'Brien, Heather, 1977-

Abstract

Capturing authentic information behaviors, feelings, and attitudes in natural settings is a challenge in interactive information retrieval research (IIR). Quantitative data collection is useful for understanding IIR at scale. Yet common data collection techniques, such as surveys, lack participants’ reasoning behind their choices. Qualitative data collection, such as think aloud and after protocols, support understanding how people behave, think, and feel immediately following an experience, but may be subject to cognitive biases and are challenging to deliver longitudinally. IIR studies have an opportunity to enhance ecological validity by using mixed and multi-method studies. This paper applies learnings from a longitudinal mixed method study that combines the 'in-situ' benefits of collecting real-time data over time with the benefits of retrospectives. This approach has potential to advance SAL research by providing a contextualised approach to longitudinal data collection and can be used to gain deeper insights into subjective experiences.

Item Metadata

Title
Using Data-Prompted Interviews in Interactive Information Retrieval Research : A Reflection on The Study of Self-Efficacy When Learning Using Search
Creator
Cole, Amelia W.; O'Brien, Heather, 1977-
Publisher
ACM
Date Issued
2023-03-19
Description
Capturing authentic information behaviors, feelings, and attitudes in natural settings is a challenge in interactive information retrieval research (IIR). Quantitative data collection is useful for understanding IIR at scale. Yet common data collection techniques, such as surveys, lack participants’ reasoning behind their choices. Qualitative data collection, such as think aloud and after protocols, support understanding how people behave, think, and feel immediately following an experience, but may be subject to cognitive biases and are challenging to deliver longitudinally. IIR studies have an opportunity to enhance ecological validity by using mixed and multi-method studies. This paper applies learnings from a longitudinal mixed method study that combines the 'in-situ' benefits of collecting real-time data over time with the benefits of retrospectives. This approach has potential to advance SAL research by providing a contextualised approach to longitudinal data collection and can be used to gain deeper insights into subjective experiences.
Subject
Data-prompted interviews; Search as learning; Methods
Genre
Conference Paper
Type
Text
Language
eng
Series
Univerisity of British Columbia. LAIS 699
Date Available
2023-01-14
Provider
Vancouver : University of British Columbia Library
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
DOI
10.14288/1.0423047
URI
http://hdl.handle.net/2429/83643
Affiliation
Arts, Faculty of; iSchool (Library, Archival and Information Studies)
Campus
UBCV
Citation
Amelia W. Cole and Heather L. O’Brien. 2023. Using Data-Prompted Interviews in Interactive Information Retrieval Research: A Reflection on The Study of Self-Efficacy When Learning Using Search. In CHIIR ’23: ACM Conference on Human Information Interaction and Retrieval, March 19-23, 2023, Austin, TX. ACM, New York, NY, USA, 10 pages.
Peer Review Status
Unreviewed
Scholarly Level
Graduate
Rights URI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository
DSpace

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Attribution-NonCommercial-NoDerivatives 4.0 International