Wireless Computing & Tracking Geri Gay Professor Department of Communication, Computing and Information Science October 11, 2005.

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Presentation transcript:

Wireless Computing & Tracking Geri Gay Professor Department of Communication, Computing and Information Science October 11, 2005

If you were stranded on a desert island and could have one thing with you, what would it be? a) Matches and lighter b) Food and water c) Another person d) Wireless phone Quick Poll

Untethered How has mobile technology changed our lives? How might it continue to do so? What new rules ought we to impose on its use? How has wireless technology encouraged us to connect individually but disconnect socially? How does the behavior of one person in a space influence the behavior or activities of another?

A multidimensional explosion Media Richness Ubiquitous Connectivity PC connected Everything connected Several things connected Smart Service Browsers Search Engines Media based searches Personalized Search Personalized Web View Process MIPs Storage MB Speed kbps Process 100s MIPs Storage GB Speed Mbps IT Capacity Text and Graphics Audio and video 3D interactive objects Fourth Wave Internet Fourth Wave Internet (Sarnoff Labs)

Combining social navigation and location aware computing

Leave messages and attach to a particular location

Leave Messages

CampusAware Location-aware guided tour of campus with a variety of user feedback mechanisms (rating, writing notes) Combining social navigation and context-aware computing

Current Past Menu Who is here? Where should I go next? What is the ‘climate’ of the museum right now? What are my peers excited about? Who might be interested in conversing about this painting? Creative Communities

Current Past Menu What did I see? What did I miss? Where have others gone? What might I like to see? Visualizing Social Navigation

Eyetracking

Activities for Active Looking

SameTime A/V Meeting Network, Red – Cornell University Blue – Syracuse University

Social networks (Syracuse/Cornell students)

Traffic Patterns

Implementation Status: Data Collection on Visitor Experience Density of people (how many, where, when) Density of information activity Tempo of movement (physical and virtual) Common paths (direction of traffic) Object and Information Popularity Object Attractiveness Mood Through above metrics Through surveys or more oblique questions vs.