Participatory Physical Visualizations

“It’s natural to think optimistically (about the future) but it’s not hard to think realistically.”

“The famous psychology professor Dan Gilbert made a series of TV commercials for the insurance company Prudential, together with Ray Del Savio from Droga5 and Colin McConnell from Prudential. These TV commercials make a clever use of participatory physical visualizations to demonstrate and explain human biases in financial planning.”

Why is this visualization technique successful/inspirational/unique?

  • Combines group participation and action to stimulate conversation.
  • It takes “real-time” crowdsourced data and makes a discrepancy easy to see.
  • The design/platform for discussion allows for self-discovery and trustworthiness.
  • Marketing/Communications Blogger, Peep Laja: “You help them discover for themselves what feels right and best, and most advantageous to them by presenting your case using contrast and simple, tangible language and demonstration. Their ultimate decision is based on self-interest. That’s emotional. “I want this. This is good for me”. Remember, old brain is selfish.”

What improvements could be made to this presentation of information?

  • Not all commercials are successful, the domino challenge misuses metaphor (money in your pocket is a tiny domino that over time grows to a retirement domino/knocks it over.) The message is obscured by “how easy” it is to save for retirement, when it needs to suggest “why” to save.
  • The documentation poses a concern for empathy within and outside of the situation. The visualizations are effective to the participating groups in person. The visualizations are the result and the process. The language of the commercial could be beefed up to include more pensive questions to the TV audience essentially putting them in the shoes of the participants.

What designs are of precedence?

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Twitterbot Tea Party

Elevator Pitch

“Twitterbot Tea Party”
NEU IDV | Spring 2016  | Studio 2 Final Proposal

In the vein of legendary @horse_ebooks twitter bot, I am proposing an analysis of twitter bot algorithms performed in succession to discern how a bot’s semantics and sentimentality shift away from cognition.

A chain of three twitter bots will take reference to my personal twitter account, and transform the language into new form, and will then serve as subject for the next bot. In this process I will map out the algorithmic underpinnings and how they manifest as behavior (of which could potentially pass as free-thinking).

 

Structure

@PeeJayOh: “Alice”

catalyst, reasoning, logical, empathy

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@door_mouse_bot: “Doormouse”

reactionary, mimicry, kowtow

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@march_hare_bot: “March Hare”

??? [characteristics]

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@mad_hatter_bot: “Mad Hatter”

??? [characteristics]

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{@???}

My project plans to explore linearity of these obscure technical processes behind twitter bots, in effort to better approach circular structures, hierarchical structures, system structures, and behavioral structures.

GLASSES \ data

Behavioral Risk Factors – Vision & Eye Health

2005-2013
Centers for Disease Control and Prevention

“In 2013 and subsequently, one question in the core of BRFSS asks about vision: Are you blind or do you have serious difficulty seeing, even when wearing glasses? From 2005-2011 the BRFSS employed a ten question vision module regarding vision impairment, access and utilization of eye care, and self-reported eye diseases. The Vision and Eye Health Surveillance System is intended to provide population estimates of vision loss function, eye diseases, health disparities, as well as barriers and facilitators to access to vision and eye care.”

https://catalog.data.gov/dataset/behavioral-risk-factors-vision-amp-eye-health-fa1d8

Prevalence and Distribution of Corrective Lenses among School-Age Children

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2562227/

“In the 1998 MEPS, 23.9% of the 5,141 children aged 6 to 18 years had corrective lenses. When weighted to the U.S. population, an estimated 25.4% (95% confidence interval, 23.8 to 27.0%) of the 52.6 million children aged 6 to 18 years had corrective lenses.”

Original data source (SAS or ASCII)

http://meps.ahrq.gov/mepsweb/data_stats/download_data_files_detail.jsp?cboPufNumber=HC-160I

 

Prevalence of Adult Vision Impairment and Age-Related Eye Disease in America

“The Vision Problems in the U.S. report and database provides useful estimates of the prevalence of sight-threatening eye diseases in Americans age 40 and older. This report includes information on the prevalence of blindness and vision impairment, significant refractive error, and the four leading eye diseases affecting older Americans: age-related macular degeneration, cataract, diabetic retinopathy and glaucoma. The estimates in this report use published prevalence rates and 2010 U.S. census data. These estimates reflect the growth and changing racial, ethnic and age composition of the United States population.”

http://www.visionproblemsus.org/news-resources/data-downloads.html

Research Methods: Unpack Object

Object
EYEGLASSES

Brainstorming Questions:

  1. Of what material(s) are glasses made?
      • What common/possible materials for frames?
      • What common/possible materials for lenses?
  1. How are lenses made?
      • How does a prescription define the process of crafting a lens?
      • Where are lenses made?
  1. How do lenses physically correct vision/bend light?
  2. What kind of technology advanced led to better vision correction?
  3. When did people start wearing glasses on their face?
  4. When did glasses develop a luxury market?
      • Non-functional glasses, does a market exist?
  1. What social implications exist around people who wear glasses?
  1. What are reasons people need glasses?
  2. What are issues users of glasses experience in the their daily life?
  3. What companies make glasses?
  4. How much do glasses cost?

IMG_4658.pngIMG_4664.pngIMG_4674.pngIMG_4682.png

These glasses are from Zenni Optical
I got them on 12.20.2015

IMG_4684
Starting concept map for eyeglasses