Tools & Techniques

Understanding How People Use Technology: A Primer on Human Factors Engineering and UX Research

 Elizabeth Rodwell  August 4, 2015

Corporations are increasingly interested in hiring anthropologists for human factors engineering (HFE) and, most recently, user experience (UX) research, roles many of us are interested in pursuing when we look beyond academia. I researched and wrote the following piece to help anthropologists of science and technology who want to approach these professional fields. Both HFE and UX research rely on methods that resemble the skill sets required by ethnographic fieldwork. Whether you expect to end up in such a role or not, much work being done in UX and HFE draws on similar theoretical perspectives to that of the anthropological literature addressing users and interface design, and is interesting as a source of case studies and data. This isn’t coincidental, of course–there’s long been anthropologists in industry, and overlap between anthropology and design research in major tech companies. (read more...)

Notes from Art of the Archive: Rethinking Archival Practices in a Digital Era

 Allison Fish  June 16, 2015

This post describes a workshop on archival practices in the digital era that took place on May 21, 2015, at the University of California, Davis. The essay is co-authored by Alessandro Delfanti, Allison Fish, and Alexandra Lippman. Delfanti, Fish, and Lippman are postdocs with UC Davis’ Innovating Communication in Scholarship (ICIS) project. On May 21, 2015, the Innovating Communication in Scholarship project at the University of California, Davis held a one-day workshop on Art of the Archive. Papers given by the fifteen invited speakers explored the changing nature of the archive given the emergence of new information and communication technologies. These presentations largely focused on how these new digital archives are not merely technical creations, but are also constructed through social processes, have social impacts, and are not seamlessly implemented in everyday life. Instead, these digital storehouses are vibrant spaces for curating, organizing and publishing cultural heritage and expressive culture in new ways. In taking up this discussion three primary topics emerged and are described below: questions about access, circulation, and research design. (read more...)

In the QDA Test Kitchen, or, What Does It Matter Who Barbara Is?

 Marcel LaFlamme  December 15, 2014

2014 was the year that the major players in qualitative data analysis (QDA) software released native versions for the Mac. For me, the timing was perfect: my dissertation fieldwork in North Dakota had drawn to a close by summer’s end, and my advisor was encouraging me to roll up my sleeves and start working through my material. I wasn’t sure which software package would serve me best, though, and most of the guidance I could find around the Web declined to make head-to-head comparisons. Then, too, I was mindful of the critiques charging that QDA software of any stripe contributes to the mystification of method and amounts to an overpriced means of avoiding index cards, glue, and scissors. I have nothing against index cards, but with operating system issues off the table and student licenses available for under $100, I decided to see if one of these tools could help me to organize my data and get writing. After sizing up the available options, I downloaded trial versions of two well-known QDA products: NVIVO and Atlas.ti. I knew I was looking for an attractive and intuitive user interface that would allow me to code data in multiple formats: handwritten field notes, interview transcripts, documents I collected in the field. I had little faith that calculating the frequency and co-occurrence of the codes I assigned would unlock some deep, hidden structure of my material. But, taking a cue from one of the founding texts of software studies, I resolved to approach QDA software as an object that “deserves a reciprocation of the richness of thought that went into it, with the care to pay attention to what it says and what it makes palpable or possible.” How, I wondered, would my choice of software package make some kinds of analytical thinking possible and forestall others? What would my choice commit me to? (read more...)

Public (Research) Design: Un-friend Stories

 Casey O'Donnell  April 8, 2013

An Introduction Ask an anthropologist a question and they’ll tell you a story. In this case, you didn’t ask, but I’m going to tell. During the fall of 2012, I was perusing my Facebook feed before bedtime, imagining myself to be reconnecting with old friends and keeping up with their lives through their links, posts and various photos. I was ruminating on the continually tweaked feed algorithms that always seemed to send friends into the foreground and others out of view. One old friend in particular and his regular kid photos were strangely absent, so I flicked open the side panel of Facebook’s iOS client and began searching for his name. Nothing turned up in the auto-complete, which was strange… At which point I quickly realized it meant that I had been un-friended. Indeed an actual search yielded his profile, which offered me the friendly blue-button “Add Friend.” At which (read more...)

The Asthma Files: Anthropological Learning Through Technical Practice

 Erik Bigras  February 5, 2013

The Asthma Files is a collaborative ethnographic project focused on the diverse ways people in settings around the world have experienced and responded to the global asthma epidemic and air pollution crisis. It is experimental in a number of ways: It is designed to support collaboration among ethnographers working at different sites, with different foci, such that many particular projects can nest within the larger project structure. This is enabled through a digital platform that we have named PECE: Platform for Experimental, Collaborative Ethnography. PECE is open source and will become shareable with other research groups once we work out its kinks. PECE has been built to support collaborative, multi-sited, scale-crossing ethnographic research addressing the complex conditions that characterize late industrialism – conditions such as the global asthma epidemic and air pollution crisis; conditions that implicate many different types of actors, locales and systems – social, cultural, political-economic, ecological and technical, (read more...)

Ethnographic Analytics for Anthropological Studies: Adding Value to Ethnography Through IT-based Methods

 Ken Riopelle  January 22, 2013

Ethnographic analytics? What’s that? In short, ethnographic analytics takes advantage of today’s technology to benefit anthropological studies, and is a great example of how science and technology can come together to help us understand and explain much about society and our human condition overall. I suggest that, using the computing power of software tools and techniques, it is possible to construct a set of useful indicators or analytics to complement the five human senses for ethnographic investigation. Where did the idea of ethnographic analytics originate? How have ethnographic analytics been used and with what results? How can you incorporate them in your work? These are all questions I will address in the following short example of a recent study application in which ethnography and IT-based analytics complemented one another to produce insights about organizational innovation. In this blog, I will focus on one indicator that I have found very useful: (read more...)

Dealing with Big Data: David Hakken Weighs In

 Patricia G. Lange  January 15, 2013

Although anthropologists have been working with large-scale data sets for quite some time, the term “big data” is currently being used to refer to large, complex sets of data combined from different sources and media that are difficult to wrangle using standard coding schemes or desktop database software. Last year saw a rise in STS approaches that try to grapple with questions of scale in research, and the trend toward data accumulation seems to be continuing unabated. According to IBM, we generate 2.5 quintillion bytes of data each day. This means that 90% of the data in the world was created during the last 2 years. Big data are often drawn and aggregated from a very large variety of sources, both personal and public, and include everything from social media participation to surveillance footage to consumer buying patterns. Big data sets exhibit complex relationships and yield information to entities who (read more...)

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Category: Tools & Techniques