Date of Award
2022
Document Type
Masters Thesis
Degree Name
M.A.
Organizational Unit
Morgridge College of Education, Research Methods and Information Science, Research Methods and Statistics
First Advisor
Peter Organisciak
Second Advisor
Nick Cutforth
Third Advisor
Erin Elzi
Fourth Advisor
Maria Riva
Keywords
Grounded theory, Information behavior, Information seeking process, Search experience, Search process
Abstract
This Grounded theory study explores US adults' modern information search process as they pursue information through digital search user interfaces and tools. To study the current search process, a systematic grounded theory methodology and two data collection methods, a think-aloud protocol and semi-structured interviews, are used to develop the theory. The emerging theory addressed two tightly connected research questions that asked, “What is the process by which humans search and discover information?” and “What is the process by which search and discovery interfaces and tools support the modern search process?”
The study collects participant data from US adults who have recently completed internet-based searches or were employed as reference librarians or information specialists that regularly support internet-based searches. The 40 data collection events, 20 interviews, and 20 think-aloud search activities are constant comparatively analyzed. This analysis shows the importance of validating information during the search process as 1) establishing accurate information needs and 2) verifying information results. This theory and study findings can be applied to modern search interface designs or used to update modern information literacy curriculums.
Publication Statement
Copyright is held by the author. User is responsible for all copyright compliance.
Rights Holder
Nicolas Armando Parés
Provenance
Received from ProQuest
File Format
application/pdf
Language
en
File Size
94 pgs
Recommended Citation
Parés, Nicolas Armando, "Digital Searching: A Grounded Theory Study on the Modern Search Experience" (2022). Electronic Theses and Dissertations. 2150.
https://digitalcommons.du.edu/etd/2150
Copyright date
2022
Discipline
Information science, Educational evaluation, Computer science
Included in
Computer Sciences Commons, Educational Assessment, Evaluation, and Research Commons, Information Literacy Commons