Human Factors and Quantitative Ethnography: Exploring Interactions to Improve Systems

Abigail Wooldridge - University of Illinois Urbana-Champaign

Human Factors ad Quantitative Ethnography: Exploring Interactions to Improve Systems

Human Factors and Ergonomics (HF/E) is the scientific discipline concerned with understanding and designing the interactions between humans and systems to optimize human well-being and overall system performance. While quantitative ethnography (QE) originated and continues to thrive in the learning sciences, HF/E is an example of one field that has begun to successfully adopt quantitative ethnography techniques. During this talk, we will briefly explore HF/E as a field and examples of QE in HF/E. We will focus on how and why QE helped to gain a deeper understanding of the sociotechnical system in health care settings. Further, we will consider how to continue to leverage QE in HF/E; implications and considerations for introducing QE in new fields will also be discussed.


Quantitative Ethnography Visualizations as Tools for Thinking

Simon Buckingham Shum - University of Technology Sydney

Quantitative Ethnography Visualizations as Tools for Thinking

All research must give form to data and insights. Visualizations serve as cognitive extensions that assist researchers not only in exploring their data, but in communicating findings to colleagues and broader audiences. Especially in data-intensive fields, widely used software tools define, and are defined by, research communities; you can't fully participate in a community until you can wield its tools responsibly. In an emerging field like Quantitative Ethnography (QE), inventing its own tools, how we model and map the world are therefore defining characteristics, and merit critical reflection. QE's principles currently find fullest expression in Epistemic Network Analysis (ENA). It's fair to say that the interest in ENA is attributable not only to the power of its data modelling and analysis, but also to the engaging, interactive visualizations it generates. Inspired by the ways I see ENA used, in this talk I bring my background in Human-Computer Interaction and the design of tools for working with conceptual structures, as a lens on ENA and other QEgenerated visuals. When we consider in detail how external representations serve as personal and shared cognitive tools, this illuminates current and future techniques for presenting QE analyses. A data-storytelling lens asks how the audience will engage with our insights, while participatory methods ask whether we cast them as passive recipients or active agents in validating those narratives. Moreover, as QE analyses begin to underpin new tools designed for people other than QE researchers, human-centred design should give voice to non-technical stakeholders. These lenses could point to a future in which visualization tools evolve to scaffold more participatory forms of sensemaking as an important hallmark of how QE models and narrates the world. 

Paper Session 1A

Affect Analysis in Quantitative Ethnography

Paper Session 1B

Analysis of Group Dynamics in Quantitative Ethnography

Paper Session 1C

Quantitative Ethnography in Healthcare Contexts

Paper Session 2A

Coding and Qualitative Analysis in Quantitative Ethnography

Paper Session 2B

Quantitative Ethnography in Science Education Contexts

Paper Session 2C

New and Foundational Techniques in Quantitative Ethnography

Paper Session 3A

Quantitative Ethnography: New Approaches and Opportunities

Paper Session 3B

Quantitative Ethnography in Learning Contexts


Challenges and Solutions to Examining Twitter Data: Reflections from QE-COVID19 Data Challenge

Special Session

Future of Quantitative Ethnography: Promises and Challenges

Paper Session 4A

Case Studies in Quantitative Ethnography (1)

Paper Session 4B

Case Studies in Quantitative Ethnography (2)


Quantitative Ethnography in the Clinic