Tag: EPIC

A Belated Who’s Who of EPIC 2017 – Perspectives

In October, I had the pleasure of attending EPIC 2017 – Perspectives at HEC Montreal. I’ve been a member of EPIC for the last two years and am volunteering on their Learning Advisory. I wasn’t quite sure what to expect walking into a conference of anthropologists, but what I found was a stimulating intellectual and social gathering that ranged from the technical to the Anthropocene.

DANA SHERWOOD: A brilliant artist who is exploring the  the Anthropocene through creating confectionary for animal collaborators, who, in turn, are changing how she draws and paints. Field work + Studio work + Places + Inhabitants.

DAVID JOHNSON: One of the US’s leading historians of gay culture, Johnson argued persuasively that the consumer market for muscle magazines and book clubs targeted at gay men created the conditions for the Civil Rights movement to emerge in the late 1960s.

ETHNOGRAPHIC FILMMAKERS: Three films stood out: 1. Nicholas Agafonoff’s affecting portrait of a man recuperating from a stroke who refused to tap into his long-term disability benefits. Agafonoff made a passionate argument for ethnomethodology. 2. Bad Babysitters’ documentary about twenty-somethings and their mobile phones. 3. Yuebai Liu’s amazing documentary about Italian-Chinese men.

JONATHAN BEAN and HANNA LARSEN: My favourite paper of the conference was a marketing case study of Marcus Samuelson’s Red Rooster brand using remote user research technology and  principles of material engagement theory and brand gestalt to study how consumers, the chef and the restaurant enact meaning through objects.

SAM LADNER: I’ve followed Ladner’s work on Twitter for several years, and I credit Ladner and her book Practical Ethnography  for introducing me to the amazing community of applied research  anthropologists who participate in EPIC. Ladner’s workship was about design research, and she emphasized thehe foundations of applied research design: 1.  Thick Description, 2. Action Objects, 3. Precise Measures. Designers and researchers alike should adopt design management principles: Creativity,  Complexity, Compromise, Choice. Systematic reduction and systhesis of data.

EPIC 2018 will be in Honolulu, HI, and the theme this year is EVIDENCE. The conference sold out in under 24 hours, so I may have to settle for the live stream this year. I’m not surprised that the conference sold out. EPIC’s ecclectic, intellectual mix delights.

 

Adventures in Semiotics

As a literature graduate student in the late 1990s, I participated in a baffling seminar discussion on Lacanian semiotics. I didn’t get it, but an amazing tutorial video from EPIC 2016 prompted me to take another look at the power of visual and verbal cultural analysis.

In April and May, I participated in an online workshop on applied semiotics analysis organized by EPIC and led by Cato Hunt from Space Doctors.

During the workshop, we leaned basics tasks of semiotic analysis, including:

  • Exploring gaps between intended meaning and experienced meaning
  • Analyzing cultural assets to create codes
  • Analyzing tensions to create  semiotic squares
  • Using a residual-dominent-emergent framework to analyze codes
  • Field work to collect data to inform semiotic analysis

Culture Map of Mobile Learning

Since the workshop, I have been using what I learned to develop a semiotic map of residual, dominant, and emergent codes for mobile learning.

To develop this map, I conducted a visual analysis of many images on Google Images related to mobile learning. I used mobile learning and other  broad key terms like “augmented reality”  and “virtual reality” and “robots”. I explored a range of geographic markets as well. It was far from a scientific sample, but it was fun.

I used Pinterest to gather the images and Mural as a platform to group and cluster the images.

10 Mobile Learning Codes

  1. Learn Alone Together (Residual)
  2. Access the World From Anywhere (Residual)
  3. Gather Around a Screen (Residual)
  4. Augment how You Live (Dominant)
  5. Simulate a Situation (Dominant)
  6. Augment your Experience of Here (Dominant)
  7. Try Immersive Learning (Emergent)
  8. Wear Your Learning (Emergent)
  9. Integrate Learning into Yourself (Emergent)
  10. Interact with Robots (Emergent)

4 Mobile Learning Spaces

I created the culture map by iteratively positioning the codes on semiotic squares constructed using cultural tensions that emerged through exploring the visual data. These tensions included:

  • Familiar / Unfamiliar
  • Augment / Integrate
  • Create / Consume
  • Ready at Hand / Present to Hand
  • Private / Public

From playing with the coded and tensions, I developed the following four quadrants on my semiotic square:

  1. Become a Cyborg (Unfamiliar / Private)
  2. Engage with the Machines (Unfamiliar / Public)
  3. Use the Data (Familiar / Private)
  4. Mediate Together (Familiar /Public)

This thought experiment has been a fun way to apply my learning. Since doing the initial semiotic exploration, a couple of additional ideas occurred to me:

  1. Semiotics aimed at settings has great potential as a tool for analyzing learning settings. I am intrigued by Bonnie Shapiro’s work on analyzing sustainability in learning settings. Laura Oswald‘s case studies on analyzing retailscapes with semiotics points to the potential for using semiotics to analyze learning settings (e.g. programs and learning spaces) in comparison to competitive and aspirational programs.
  2. Where do emergent products like smart speakers, particularly niche products like the Amazon Echo Look, fit on within the frame of mobile learning. They are likely somewhere between dominant and emergent because they are still relatively unfamiliar and sit somewhere on the boundary between public or private?
  3. What might happen if I took an explicitly critical frame and asked how these products vary on their representation of domestication vs. liberation. Most images promise a dream of endless open knowledge, and most images represent scenes of social control (students being disciplined by lessons in formal learning settings or people being domesticated by new technological forms). I recognize my initial sample had scant examples of mobile learning in the context of non-formal learning settings beyond the cliched coffee shop or non-spaces of everyday life (e.g commuting).

Next Steps

The workshop has prompted me to start reading more in the domain of semiotic marketing analysis and qualitative marketing analysis. I have been diving into the work of Laura Oswald, The Handbook of Qualitative Marketing Research, and Tim Stock‘s culture mapping.

If you are interesting in applying semiotics to analyze a learning setting, I would love to hear from you.