Difference between revisions of "Reality Mining"

From Cyborg Anthropology
Jump to: navigation, search
Line 1: Line 1:
 
===Definition===
 
===Definition===
−
Reality Mining is a term used to describe the collection and analysis of machine-sensed environmental data pertaining to human social behavior, with the goal of identifying predictable patterns of behavior.<ref>http://radar.oreilly.com/2008/05/the-results-of-reality-mining.html O'Reilly</ref>
+
Reality mining is term used to describe the collection of information generated by everyday objects and the subsequent processing of it. This information can give a series of important clues and keys to the way life is lived. For instance, gathering information over time can help one to understand problems or trends in that information.
  
−
Reality Mining studies human interactions based on the usage of wireless devices such as mobile phones and GPS systems providing a more accurate picture of what people do, where they go, and with whom they communicate with rather than from more subjective sources such as a people's own account. Reality mining is one aspect of [[Digital Footprint|digital footprint]] analysis<ref>http://www.businessweek.com/technology/content/mar2008/tc20080323_387127.htm BusinessWeek, 2008</ref>.  
+
Reality Mining studies human interactions based on the usage of wireless devices such as mobile phones and GPS systems providing a more accurate picture of what people do, where they go, and with whom they communicate with rather than from more subjective sources such as a people's own account. Reality mining is one aspect of [[Digital Footprint|digital footprint]] analysis<ref>http://www.businessweek.com/technology/content/mar2008/tc20080323_387127.htm BusinessWeek, 2008.</ref>.  
  
−
===Relations to Business Intelligence===
+
Reality mining was used to look at Google search terms around cold and flu symptoms in order to predict flu epidemics. <ref>Google.com Flu Trends Map http://www.google.org/flutrends/</ref>
−
 
+
−
Informed business intelligence using "reality mining" supports better business decision-making based on employee behaviors. Gathering intelligence to help improve the business efficiency by monitoring, analyzing and fine tuning the employee's footprint based on what is efficient and what will yield more productive employees. It is important to observe people in the workplace and understand how they interact with their equipment, devices and applications. This observation allows us the means to obtain an “electronic footprint” or eFootPrint of these activities. We focus on what the employee does in their job, where they spend their time, how efficient are they performing it and how it can be improved.
+
−
 
+
−
===MIT Media Lab Reality Mining===
+
−
Reality Mining defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.
+
−
 
+
−
The original Reality Mining experiment is one of the largest mobile phone projects attempted in academia. Our research agenda takes advantage of the increasingly widespread use of mobile phones to provide insight into the dynamics of both individual and group behavior. By leveraging recent advances in machine learning we are building generative models that can be used to predict what a single user will do next, as well as model behavior of large organizations.
+
−
We have captured communication, proximity, location, and activity information from 100 subjects at MIT over the course of the 2004-2005 academic year. This data represents over 350,000 hours (~40 years) of continuous data on human behavior.<ref>MIT Media Lab Reality Mining http://reality.media.mit.edu/</ref>  
+
−
 
+
−
Reality Mining can be used to answer many questions, including the following:
+
−
*How do social networks evolve over time?
+
−
*How entropic (predictable) are most people's lives?
+
−
*How does information flow?
+
−
*Can the topology of a social network be inferred from only proximity data?
+
−
*How can we change a group's interactions to promote better functioning?
+
  
 
==References==
 
==References==
Line 25: Line 10:
  
 
[[Category:Book Pages]]
 
[[Category:Book Pages]]
−
[[Category:Marked for Editing]]
+
[[Category:Finished]]
  
 
__NOTOC__
 
__NOTOC__

Revision as of 19:26, 29 June 2011

Definition

Reality mining is term used to describe the collection of information generated by everyday objects and the subsequent processing of it. This information can give a series of important clues and keys to the way life is lived. For instance, gathering information over time can help one to understand problems or trends in that information.

Reality Mining studies human interactions based on the usage of wireless devices such as mobile phones and GPS systems providing a more accurate picture of what people do, where they go, and with whom they communicate with rather than from more subjective sources such as a people's own account. Reality mining is one aspect of digital footprint analysis[1].

Reality mining was used to look at Google search terms around cold and flu symptoms in order to predict flu epidemics. [2]

References

  1. ↑ http://www.businessweek.com/technology/content/mar2008/tc20080323_387127.htm BusinessWeek, 2008.
  2. ↑ Google.com Flu Trends Map http://www.google.org/flutrends/
Retrieved from "http://cyborganthropology.com/wiki/index.php?title=Reality_Mining&oldid=4476"