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Virginia Tech

Generalizability and Reproducibility of Search Engine Online User Studies

Abstract

dc:description.abstract

Research in interactive information retrieval (IR) usually relies on lab user studies or online ones. A key concern of these studies is the generalizability and reproducibility of the results, especially when the studies involved only a limited number of participants. The interactive IR community, however, does not have a commonly agreed guideline regarding how many participants should recruit. We study this fundamental research protocol issue by examining the generalizability and reproducibility of results with respect to a different number of participants using simulation-based approaches. Specifically, we collect a relatively large number of participants' observations for a representative interactive IR experiment setting from online user studies using crowdsourcing. We sample smaller numbers of participants' results from the collected observations to simulate the results of online user studies with a smaller scale. We empirically analyze the patterns of generalizability and reproducibility regarding different dependent variables and draw conclusions related to the optimal number of participants. Our study contributes to interactive information retrieval research by 1) establishing a methodology for evaluating the generalizability and reproducibility of results, and 2) providing guidelines regarding the optimal number of participants for search engine user studies.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Xu, Zijian
Chair dc:contributor.committeechair
  • Jiang, Jiepu
Committee members dc:contributor.committeemember
  • Luther, Kurt
  • Lee, Sang Won

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:26167
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/106831

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Xu, Zijian. Generalizability and Reproducibility of Search Engine Online User Studies. masters thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/106831