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Dawn Nafus Tye Rattenbury Ken Anderson Add GPS and Stir?  Some Context for Context Awareness
The shift to “context aware” systems has been a shift away from active user input toward leveraging passively collected datasets  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
There’s excitement both in the marketplace AND in labs Like Bill Murray’s Groundhog Day, some tech scenarios just won’t go away. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
… but there’s something fishy about the word ‘context’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: P. Dourish, “What We Talk About When We Talk About Context.” Ubicomp 2004 ROI (getting people to value what you have) Culture (how people understand the world around them)
Which context you focus on leads you to different questions, which lead to different design choices and business models ,[object Object],[object Object],How much can I reliably detect? How many different data points can I throw together? How can I make machines mash it all up?   What activity can I support? How do my end users interpret my data?  People Context  Things that are person readable
Mobile Friend Finding  vs the  Whereabouts Clock ,[object Object],[object Object],Sensor Context:   Location +buddylist =ambient display of routine People Context:  Relative to spouses and children Embedded in routines of ‘putting on the kettle’, practices of assurance-giving,  as precise as conversations are , allows  redefinition  of home and away “ Whereabouts Clock”,  Brown et al 2006 Location ≠ Context
Think very, very carefully about the following question.
[object Object],[object Object],[object Object]
Context-aware tourism applications    Paris photo courtesy of Only_Point_Five ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Easy, low value Hard, high value Middling
Spurious connections between Sensor Context  and People Context are fantastic for art, but cloud ‘prediction’ “ Home Health Horoscope” Gaver et al, 2007 Sensor Context: Condensation on windows + pattern of doors + weight of the coffeepot + … = home health People Context: Sensors mash up horoscopes and give them back to perplexed dwellers who infer their meaning (i.e., do the real ‘sensing’ work) Inferencing that involves more than 10 variables  will  deliver spurious connections. What will people make of these?
Current research: Mapping connections between People Context and Sensor Context ,[object Object],[object Object],[object Object],[object Object]
With a weak ecosystem of players focused on people context, we all suffer sustainability problems ,[object Object],[object Object],[object Object],[object Object],[object Object]
If Location ≠ Context, then… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
Orkut in Brazil:  where  People Context  made Sensor Context mean something (accidentally)  ,[object Object],[object Object],[object Object],[object Object],this became ‘we’ This did not
An   eComm 2008   presentation –   http://eCommMedia.com   for more

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Nathan Eagle's presentation at eComm 2008
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Rocky Nevin's presentation at eComm 2008
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Phil Wolff's 's presentation at eComm 2008
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Dawn Nafus's presentation at eComm 2008

  • 1. Dawn Nafus Tye Rattenbury Ken Anderson Add GPS and Stir? Some Context for Context Awareness
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Think very, very carefully about the following question.
  • 8.
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  • 10. Spurious connections between Sensor Context and People Context are fantastic for art, but cloud ‘prediction’ “ Home Health Horoscope” Gaver et al, 2007 Sensor Context: Condensation on windows + pattern of doors + weight of the coffeepot + … = home health People Context: Sensors mash up horoscopes and give them back to perplexed dwellers who infer their meaning (i.e., do the real ‘sensing’ work) Inferencing that involves more than 10 variables will deliver spurious connections. What will people make of these?
  • 11.
  • 12.
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  • 16. An eComm 2008 presentation – http://eCommMedia.com for more