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Grant He

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2012
 
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Lasecki, Walter, Lau, Tessa, He, Grant and Bigham, Jeffrey (2012): Crowd-based recognition of web interaction patterns. In: Adjunct Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 99-100.

Web automation often involves users describing complex tasks to a system, with directives generally limited to low-level constituent actions like "click the search button." This level of description is unnatural and makes it difficult to generalize the task across websites. In this paper, we propose a system for automatically recognizing higher-level interaction patterns from user's completion of tasks, such as "searching for cat videos" or "replying to a post". We present PatFinder, a system that identifies these patterns using the input of crowd workers. We validate the system by generating data for 10 tasks, having 62 crowd workers label them, and automatically extracting 14 interaction patterns. Our results show that the number of patterns grows sublinearly with the number of tasks, suggesting that a small finite set of patterns may suffice to describe the vast majority of tasks on the web.

© All rights reserved Lasecki et al. and/or ACM Press

 
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Jul 11

Creative without strategy is called ‘art‘. Creative with strategy is called ‘advertising‘

-- Jef I. Richards

 
 

Featured chapter

Marc Hassenzahl explains the fascinating concept of User Experience and Experience Design. Commentaries by Don Norman, Eric Reiss, Mark Blythe, and Whitney Hess

User Experience and Experience Design !

 
 

Our Latest Books

Kumar and Herger 2013: Gamification at Work: Designing Engaging Business Software...
by Janaki Mythily Kumar and Mario Herger

 
Start reading

Whitworth and Ahmad 2013: The Social Design of Technical Systems: Building technologies for communities...
by Brian Whitworth and Adnan Ahmad

 
Start reading

Soegaard and Dam 2013: The Encyclopedia of Human-Computer Interaction, 2nd Ed....
by Mads Soegaard and Rikke Friis Dam

 
Start reading
 
 

Help us help you!