Unlocking Data, Unlocking Interaction
          
        
       
      
      
  
    
      
      
        
          
            
              
  
  
  
  
    
        
        
            
Date
            Oct 12, 2016
        
        
            
Time
            12:00 PM - 1:30 PM
        
        
            
        
     
    
        
            
                
                    
Title
                    Unlocking Data, Unlocking Interaction
                
            
        
        
            
                
                    
                        Speaker
                    
                    
                    
                        
                        
                        
                             James Fogarty
                        
                        
                            Computer Science & Engineering
                        
                    
                
             
            
            
                
                    Abstract
                    The applications we create are framed by the tools we use to create them. On one hand, tools codify effective 
practice and empower design. On the other, that same codification eventually constrains design. My research examines 
new approaches to interactive systems in light of this tradeoff, often with an emphasis on unlocking existing 
codifications to enable new designs. This talk will focus on three examples:
  - I will first present our work on unlocking data with interactive machine learning. Dominant models of interaction 
fail to support expressiveness and control in many emerging forms of everyday data. Exploring such domains as 
web image search and gesture recognition, our work shows how interactive machine learning can support people 
in extending the underlying language of an interaction.
- I will then present our work on using pixel-based reverse engineering to unlock existing graphical interfaces, 
allowing runtime modification of those interfaces without their source. Pixel-based methods allow prototyping 
new possibilities atop the existing ecosystem of applications and tools, accelerating innovation and informing 
the next-generation ecosystem.
- Finally, I will consider how these challenges combine in the emergence of self-tracking and personal informatics. 
Data is no longer a distant concept, but an everyday barrier to interaction, self-knowledge, and personal empowerment. 
The tools we create to support these applications will define the future of everyday interaction with personal data.
Given these examples, I argue research must consider not only specific applications, but also the assumptions 
codified by underlying tools and how those tools frame our understanding of what application designs are even possible.
                
             
            
                
                    Bio
                    James Fogarty is an Associate Professor of Computer Science & Engineering at the 
University of Washington (https://homes.cs.washington.edu/~jfogarty). His broad research interests are in 
engineering interactive systems, often with a focus on the role of tools in developing, deploying, and evaluating 
new approaches to the human obstacles surrounding everyday adoption of ubiquitous computing and intelligent interaction.