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Date: 2025-04-07 Page is: DBtxt003.php txt00005155

Google Glass
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Daniel Estrada and the development of applications for Google Glass

Burgess COMMENTARY

Peter Burgess

Open 'Gaming the Attention Economy' (PDF)


Daniel Estrada Shared publicly - 4:25 PM #attentioneconomy

Swarm! over Glass

Swarm! is an application for +Project Glass that takes insights from complexity theory and stigmergic social organization and applies them to economic optimization problems in the developing Internet of Things. I've been working on Swarm! with +Jon Lawhead since April, and we're gearing up for the next stage of development!

Below is a list of every Swarm document, post, and write up that I'm currently aware of online. Highlights include our excellent write up by +Living Thru Glass and our publication 'Gaming the Attention Economy' due out this November in the Springer Handbook on Human Computation .

I've compiled the list for +Timothy Ignaffo, the director of Interdisciplined, the educational nonprofit working with Jon and I to develop Swarm! for Glass. Tim has been working hard to line up potential donors and contributors to the project, including recouping the cost of our Glass unit, which is already in the field committing acts of educational subversion in my #CTY classes.

When I'm done with my summer teaching gig, we plan to turn our efforts (and our Glass unit) towards producing a prototype of Swarm!, in order to demonstrate the idea to potential donors for a larger fundraising push this Fall.

We're planning to start a private community around Swarm! development, where we'll be releasing behind-the-scenes news and updates on our progress, along with some special treats of the sort that only Corporation Chaos can provide.

If you've been following the development of Swarm! over the last few months and want to keep hearing more, let me know in the comments below!
Documents
Gaming the Attention Economy: http://goo.gl/oV2bo
Game Bible: http://goo.gl/Qi7je

PR videos
Fundraising pitch: http://goo.gl/mm5l6
Pitch text: http://goo.gl/Z694C
Public Q&A: http://goo.gl/xZbvh

Other media
Living Through Glass.com write up: http://goo.gl/Ofcuc
Glass Apps.com write up: http://goo.gl/Bpef6
Reddit thread: http://goo.gl/byKTR

Behind the scenes
Whiteboard mock ups: http://goo.gl/7KYk7
#swarm #gamification #stigmergy #economic #optimization #attentioneconomy #ifihadglass #internetofthings

Fig 2. Our player Eve (indicated with the green trail) considers a regular interaction at a busy intersection with a hostile colony (red trail), which imposes caste-specific effects on a region. Image credit: +kyle broom Show less

74Justen Robertson's profile photoDaniel Estrada's profile photoTed Fujimoto's profile photoJason Salas's profile photo Hide comments

Neil Mcginnis5:06 PM+1 2 1 wtf is that?


Daniel Estrada5:11 PM+1 2 1 People trails. Smelly people trails. 
Ted Fujimoto5:23 PM+2 3 2
+Daniel Estrada People trails? From up here they look like ants! : ) Also, since you are doing human computation, have you read Edith Law and Luis von Ahn's book on the subject? Show less
Justen Robertson5:34 PM Don't forget to give me a holler once you need testers :) I live in a pretty remote area so I won't be much use testing the interactivity (I doubt anybody within 100 miles has another unit), but I should be able to at least give some feedback. Show less
Neil Mcginnis5:48 PM Can anyone tell me what the hell you are talking about? I am curious but the description is basically jibberish. lol Oh wait.. this is like the other game that is actually just to further development progress of an application? You nerds get way into it when you are talking about these 'games' to the point to where it makes no sense at all to anyone outside the 'game'. I say nerd lovingly, by the way. The following statement, by you, is unnecessarily complex and seems to be intended to confuse more than explain. 'insights from complexity theory and stigmergic social organization and applies them to economic optimization problems in the developing Internet of Things.' Sounds very douchebaggy to me and I can appreciate being verbose. That being said I still enjoy having you nerds around. The concept is cool and I would like to help with it here in dallas. Show less
Daniel Estrada6:36 PM+1 2 1 I was very proud of condensing a 15 page, extremely dense chapter into a single sentence. Jon Lawhead6:53 PM+1 2 1 +Neil Mcginnis It's a game where you experience what it's like to be in an ant colony. We designed based on our research into how real ant colonies work. How's that? Show less Peter Burgess8:32 PM I think I like what you are working on ... but for someone who was at the cutting edge of technology in the 1960s it is a bit difficult to get my head around. However, I do know this ... it is long overdue that there is a big rethink of how economic activity works, how society and the economy functions, and how resource flows and waste add up to a better quality of life so that there is +people, + place and +planet in reasonable balance with +profit for investors. Peter Burgess TrueValueMetrics Show less Add a comment...
Daniel Estrada 8:55 PM 1 +Peter Burgess This is a quote from our chapter 'Gaming the Attention Economy':

> If this characterization is correct, then solving the economic optimization problem involves accomplishing two distinct tasks: identifying precisely what information should be recorded in economic memory, and we must devising ways to store and manipulate that information. We might understand Yelp as recording user accounts of a service that attempts to meet these memory challenges. Yelp users leave comments, reviews, and ratings that provide a far more detailed and relevant transaction history with customers than is represented by the relative wealth of the business as a market agent. Luca (2011) finds not only that these reviews have an impact on revenue, but that impact is strengthened with the information content of the reviews, suggesting one place where money may be showing evidence of domination by rich sources of memory.

Swarm! offers a natural approach for meeting the same challenges, in which NHC is leveraged to help solve the economic optimization problem without introducing new economic frictions. This computational work is accomplished through the recording of trails that represents incremental changes in the use history of that location. As Swarm! maps become increasingly detailed and populated they likewise come to function as an effective representation of the attention economy (Simon, 1971; Weng, 2012) in which the saturation of trails around an object approximates a quantitative measure of the value of objects relative to their use. We treat this measure as the aggregate “use-value” of the object (Vargo et al., 2008), and argue that a model of the use-value of objects allows for novel NHC-based solutions to a variety of standard problems in the optimization of economic systems. 


Peter Burgess 10:15 PM

The analysis of 'big data' has taken hold in the arena where organizational performance is optimized to maximize profit, but the same cannot yet be said of the optimization of decisions about economic activity to get the most +valuadd 4people, 4place and 4planet while doing OK 4profit4investors. The amazing productivity that exists now as a result of progress in IT, in engineering science, in medical science and so on means that less people are required to satisfy critical needs, but if that means that more people have a deteriorating quality of life, this is not a worthy outcome. Every product has a story ... which with modern data can be transparent to everyone through the whole value (supply) chain and then into its post use life as waste. What can be done is mind boggling ... but up to now all of this is being done within big institutions for their own ends rather than for the (obvious) good of society as a whole. I have been trying to articulate these issues in the development of TrueValueMetrics ... based on a long experience, but frankly quite removed from what the cutting edge of scientific thinkers are able to do. The idea of NHC is very much compatible with my view that decision making is optimized when the data are disaggregated to a level where the individual can relate to the data, hence my interest in optimizing for people and place where data and reality can actually come together in a useful way. Trying to manage with averages or some other statistical creation is not my idea of doing it right. I want meaningful measures of everything that matters ... and a way to get that feedback to people and then to decision makers close to the issue that needs to be addressed. Localization not globalization. Distribution not centralization.

Exciting times ... Peter Burgess


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