Upcoming Courses

go to course
Emotional Design: How to make products people will love
Starts the day after tomorrow !
go to course
UI Design Patterns for Successful Software
85% booked. Starts in 10 days
 
 

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

 
 
The Social Design of Technical Systems: Building technologies for communities. 2nd Edition
by Brian Whitworth and Adnan Ahmad
start reading
 
 
 
 
Gamification at Work: Designing Engaging Business Software
by Janaki Mythily Kumar and Mario Herger
start reading
 
 
 
 
The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad
start reading
 
 
 
 
The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam
start reading
 
 

Grant He

 

Publications by Grant He (bibliography)

 what's this?
2012
 
Edit | Del

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. Available online

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

 
Add publication
Show list on your website
 
 

Join our community and advance:

Your
Skills

Your
Network

Your
Career

 
Join our community!
 
 
 

Page Information

Page maintainer: The Editorial Team
URL: http://www.interaction-design.org/references/authors/grant_he.html