EAGER: programming repetitive tasks by example
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
UIDE—an intelligent user interface design environment
Intelligent user interfaces
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
A tool for creating predictive performance models from user interface demonstrations
Proceedings of the 12th annual ACM symposium on User interface software and technology
Automating Web navigation with the WebVCR
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
ACM SIGKDD Explorations Newsletter
Extracting usability information from user interface events
ACM Computing Surveys (CSUR)
Learning hierarchical task models by defining and refining examples
Proceedings of the 1st international conference on Knowledge capture
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
Separating the swarm: categorization methods for user sessions on the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What do web users do? An empirical analysis of web use
International Journal of Human-Computer Studies
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
ConcurTaskTrees: A Diagrammatic Notation for Specifying Task Models
INTERACT '97 Proceedings of the IFIP TC13 Interantional Conference on Human-Computer Interaction
A Survey of Longest Common Subsequence Algorithms
SPIRE '00 Proceedings of the Seventh International Symposium on String Processing Information Retrieval (SPIRE'00)
Web Usage Mining as a Tool for Personalization: A Survey
User Modeling and User-Adapted Interaction
Relationship-based clustering and cluster ensembles for high-dimensional data mining
Relationship-based clustering and cluster ensembles for high-dimensional data mining
Sheepdog: learning procedures for technical support
Proceedings of the 9th international conference on Intelligent user interfaces
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
DocWizards: a system for authoring follow-me documentation wizards
Proceedings of the 18th annual ACM symposium on User interface software and technology
A hybrid learning system for recognizing user tasks from desktop activities and email messages
Proceedings of the 11th international conference on Intelligent user interfaces
SWISH: semantic analysis of window titles and switching history
Proceedings of the 11th international conference on Intelligent user interfaces
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Model-directed Web transactions under constrained modalities
ACM Transactions on the Web (TWEB)
Smart bookmarks: automatic retroactive macro recording on the web
Proceedings of the 20th annual ACM symposium on User interface software and technology
CoScripter: automating & sharing how-to knowledge in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Discovering frequent work procedures from resource connections
Proceedings of the 14th international conference on Intelligent user interfaces
From geek to sleek: integrating task learning tools to support end users in real-world applications
Proceedings of the 14th international conference on Intelligent user interfaces
Resonance on the web: web dynamics and revisitation patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automated construction of web accessibility models from transaction click-streams
Proceedings of the 18th international conference on World wide web
PLOW: a collaborative task learning agent
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Interpreting written how-to instructions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Semantic-Rich Markov Models for Web Prefetching
ICDMW '09 Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
Lowering the barriers to website testing with CoTester
Proceedings of the 15th international conference on Intelligent user interfaces
A study of tabbed browsing among mozilla firefox users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Here's what i did: sharing and reusing web activity with ActionShot
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A conversational interface to web automation
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
TellMe: learning procedures from tutorial instruction
Proceedings of the 16th international conference on Intelligent user interfaces
Task-Oriented web user modeling for recommendation
UM'05 Proceedings of the 10th international conference on User Modeling
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Task automation systems promise to increase human productivity by assisting us with our mundane and difficult tasks. These systems often rely on people to (1) identify the tasks they want automated and (2) specify the procedural steps necessary to accomplish those tasks (i.e., to create task models). However, our interviews with users of a Web task automation system reveal that people find it difficult to identify tasks to automate and most do not even believe they perform repetitive tasks worthy of automation. Furthermore, even when automatable tasks are identified, the well-recognized difficulties of specifying task steps often prevent people from taking advantage of these automation systems. In this research, we analyze real Web usage data and find that people do in fact repeat behaviors on the Web and that automating these behaviors, regardless of their complexity, would reduce the overall number of actions people need to perform when completing their tasks, potentially saving time. Motivated by these findings, we developed LiveAction, a fully-automated approach to generating task models from Web usage data. LiveAction models can be used to populate the task model repositories required by many automation systems, helping us take advantage of automation in our everyday lives.