Why CSCW applications fail: problems in the design and evaluationof organizational interfaces
CSCW '88 Proceedings of the 1988 ACM conference on Computer-supported cooperative work
Synergistic use of direct manipulation and natural language
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Programming by demonstration: an inductive learning formulation
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Data integration using similarity joins and a word-based information representation language
ACM Transactions on Information Systems (TOIS)
A natural language interface for information retrieval from forms on the World Wide Web
ICIS '99 Proceedings of the 20th international conference on Information Systems
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Mr.Web: an automated interactive webmaster
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Introducing ask, a simple knowledgeable system
ANLC '83 Proceedings of the first conference on Applied natural language processing
Learning to understand web site update requests
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Processing information intent via weak labeling
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Uncovering the to-dos hidden in your in-box
IBM Systems Journal
Learning information intent via observation
Proceedings of the 16th international conference on World Wide Web
Interpreting written how-to instructions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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Large organizations with sophisticated infrastructures have large form-based systems that manage the interaction between the user community and the infrastructure. In many cases, when a user needs to complete a form to accomplish a task, the user e-mails a description of the task to the appropriate form expert. In many cases this description is incomplete and the expert engages in a clarification dialog to determine the details of the task. Since many tasks and descriptions are routine, this e-mail dialog can be replaced with an intelligent user interface. The interface proactively reads e-mail (or IM) messages and assists the user in completing the associated task without involving the expert. To ground our vision in a specific application, we have built an agent that functions as a webmaster assistant. For example, a user emails the request: "Change John Doe's home phone number to 800-555-1212" to the agent. The webmaster agent then replies with the biographical data form displaying information about John Doe with the new phone number pre-filled in the form. The user then simply approves the change.In this paper we describe a prototype website maintenance agent that (i) allows users to express the updates they want to make in human terms (free text input expression of intent), and (ii) allows users to quickly repair any inference errors the agent makes. In addition, we present the results of a proof of concept study that details how interacting with a webmaster agent that makes inference errors is both more efficient (faster) and more effective (errors made to site) than sending a request to a human webmaster. We conclude the paper with a discussion of the application of our work to any form-based system.