Coagmento v3.0: Rapid prototyping of web search experiments

Diana Soltani, Matthew Mitsui, Chirag Shah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As understanding of web search behavior grows, researchers rapidly develop new study designs to capture and understand search behavior. Researchers have restricted time in which to design a study, develop a collection tool, collect data, analyze it, and report new insights. In particular, sufficient time and development skills are often required to create a tool that meets the needs of any particular web search behavior study. Coagmento is a tool that is developed for facilitating many of the needs for designing and running a lab study, from executing a session flow to collecting log data. By streamlining the programming of unique parts for a specific study, Coagmento helps researchers tailor various parts of running a user study, lowering the barrier for designing and conducting lab study experiments. One-click interactions with a graphical user interface permit researchers to operate through a web-based administrative service to generate stages, search tasks, and questionnaires for their interactive information retrieval studies. In this demonstration, Coagmento provides a solution to increase efficiency in the production of laboratory experiments for web search behavior.

Original languageEnglish (US)
Title of host publicationCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages367-371
Number of pages5
ISBN (Electronic)9781450360258
DOIs
StatePublished - Mar 8 2019
Event4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019 - Glasgow, United Kingdom
Duration: Mar 10 2019Mar 14 2019

Publication series

NameCHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

Conference

Conference4th ACM SIGIR Conference on Information Interaction and Retrieval, CHIIR 2019
CountryUnited Kingdom
CityGlasgow
Period3/10/193/14/19

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Information Systems

Keywords

  • Collaborative information seeking
  • Human-computer interaction
  • Information retrieval
  • Task-model studies
  • User studies
  • Web search behavior

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  • Cite this

    Soltani, D., Mitsui, M., & Shah, C. (2019). Coagmento v3.0: Rapid prototyping of web search experiments. In CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 367-371). (CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3295750.3298917