The Multimodal Matrix as a Quantitative Ethnography methodology

Simon Buckingham Shum, Vanessa Echeverria, Roberto Martinez-Maldonado

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

18 Citations (Scopus)

Abstract

This paper seeks to contribute to the emerging field of Quantitative Ethnography (QE) by demonstrating its utility to solve a complex challenge in Learning Analytics: the provision of timely feedback to collocated teams and their coaches. We define two requirements that extend the QE concept in order to operationalise it such a design process, namely, the use of co-design methodologies, and the availability of automated analytics workflow to close the feedback loop. We introduce the Multimodal Matrix as a data modelling approach that can integrate theoretical concepts about teamwork with contextual insights about specific work practices, enabling the analyst to map between higher order codes and low-level sensor data, with the option add the results of manually performed analyses. This is implemented in software as a workflow for rapid data modelling, analysis and interactive visualisation, demonstrated in the context of nursing teamwork simulations. We propose that this exemplifies how a QE methodology can underpin collocated activity analytics, at scale, with in-principle applications to embodied, collocated activities beyond our case study.

Original languageEnglish
Title of host publicationAdvances in Quantitative Ethnography
Subtitle of host publicationFirst International Conference, ICQE 2019 Madison, WI, USA, October 20–22, 2019 Proceedings
EditorsBrendan Eagan, Morten Misfeldt, Amanda Siebert-Evenstone
Place of PublicationCham Switzerland
PublisherSpringer
Pages26-40
Number of pages15
ISBN (Electronic)9783030332327
ISBN (Print)9783030332310
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventInternational Conference on Quantitative Ethnography 2019 - The Pyle Center, University of Wisconsin-Madison, Madison, United States of America
Duration: 20 Oct 201922 Oct 2019
Conference number: 1st
http://icqe19.org/
https://link.springer.com/book/10.1007/978-3-030-33232-7 (Proceedings)
http://icqe19.org (Website)

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume1112
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceInternational Conference on Quantitative Ethnography 2019
Abbreviated titleICQE 2019
Country/TerritoryUnited States of America
CityMadison
Period20/10/1922/10/19
Internet address

Keywords

  • CSCL
  • Learning analytics
  • Multimodal
  • Sense making
  • Teamwork

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