2006 Holiday campaign set

From CENS Urban Sensing

Contents


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Diet

Basic instructions -

  1. Install Raccoon
  2. Download written journal form
  3. Do one day or two half-days of hand journaling + raccoon recording
  4. Post your results to the web and add a link to the results section of this page.
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1. Installing the raccoon webserver

  • Follow the instructions here to install Raccoon, mod_python, etc. Make sure to install on the memory card and not the phone's internal memory.
  • Email Jeff B to get an account on the raccoon proxy.
  • After receiving your username and id, configure raccoon with 
 id   =  [username].id
 pass =  [password]
 gw   =  128.97.152.26
 port =  15001 (default)
  • In order for the app to work, the phones' httpd.conf file must be edited. (Comment out "Require valid-user." Commenting out the line removes the password requirement for the "webcam" request so don't forget to exit raccoon or cover the camera lens if you are doing something you don't want the world to see.) 
 Please change:
   <Location /webcam>
   SetHandler camera
   # Change 'valid-user' to a specific user or comment the line out if
   # want to allow access to anybody.
   Require valid-user
   </Location>
 to:
   <Location /webcam>
   SetHandler camera
   # Change 'valid-user' to a specific user or comment the line out if
   # want to allow access to anybody.
   # Require valid-user
   </Location>
  • Email -person yet to be named- to have them set up image scraping for you on the days that you want to collect images.
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2. Written journal form

  • PDF and DOC versions of journal form.
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3. Running the campaign

  • Journal at the time that you eat!
  • Wearing the phone around your neck - see Andrew or Martin for lanyard
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4. Results links

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Group-created campaigns

Campaigns can be thought of along a number of axises:

First, the method or timing of capture:

  • Intentional: This is how like cameras usually are used.
  • Automatic Triggered: Tries to be intentional, but in an automatic way: take a picture when there's a loud noise.
  • Automatic: This is just triggered on time: every 10 seconds, *click*.

Second, the scope:

  • Something about the carrier: The purpose of the data could be to learn the activity/state/availability of the carrier. Based on audio, am I available for a phone call, or should you text me? Using images, with whom do I interact on a daily basis? With multiple participants, you could use this to investigate the social structure of a work place, etc.
  • Something about to what the carrier is exposed: Noise pollution. Pollen exposure.
  • Something about the environment: The walkability of sidewalks in West Hollywood, air quality by LAX, noise pollution in Beverly Hills, etc.

Here, I've listed things to go from caring exclusively about things that affect the carrier, to something where the carrier is a convenient NIMS node, and directed sampling is vital.

Third, campaigns want to gather data for the purpose of making a case for or against some action, or the effect/non-effect of some change by:

  • Demonstrating the extent of something: How many ants per hour do you see?
  • Demonstrating correlation: Number of ants seen per hour, and whether or not you eat at your desk.
  • Demonstrating a causal relationship: This requires doing "experiments": leave a cookie on your desk and count how many (if any) ants are there tomorrow.


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References

  • B. Gaver, T. Dunne, E. Pacenti. (1999) Cultural probes, Interactions, January-February 1999, 21-29. pdf
The cultural probes—these packages of maps, postcards, and other materials—were designed to provoke inspirational responses from elderly people in diverse communities.
  • C. Wang, M. A. Burris, X. Y. Ping. (1996) Chinese village women as visual anthropologists: A participatory approach to reaching policymakers, Soc. Sci. Med., 42(10):1391-1400. pdf (Some photos can be seen here.)
Photo novella is an innovative methodology that puts cameras in the hands of rural women and other consituents who seldom have access to those who make decisions over their lives.
  • M. R. Greenberg, J. Renne. (2005) Where does walkability matter the most? An environmental justice interpretation of New Jersey data, J. Urban Health 82(1):90-100. pdf
Neighborhood walkability is a second-wave environmental justice issue meriting carefully designed research and ameliorative actions in concert with other neighborhood-level redevelopment activities.
  • T. W. Lambert, L. Guyn, S. E. Lane. (2006) Development of local knowledge of environmental contamination in Sydney, Nova Scotia: Environmental health practrice from an environmental justice persective, Science of the Total Env. 368:471-484. pdf
In Sydney, Nova Scotia, from 1901 through 1988 a coke and steel factory operated with no pollution controls, depositing over a million tons of particulate matter and releasing several thousands of tons of coal tar into the estuary.
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Our (simple) campaigns & their results

Describe what you would like the others in the urban sensing group to do (image, audio or video recording, taken and posted manually).

Email the results to the author!

  • Our campaign descriptions go here.
Retrieved from "http://www.lecs.cs.ucla.edu/urban-sensing/index.php/2006_Holiday_campaign_set"