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| Content Provider | ACM Digital Library |
|---|---|
| Author | Simmons, Isaac Tomasic, Anthony Zimmerman, John |
| Abstract | 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. |
| Starting Page | 78 |
| Ending Page | 85 |
| Page Count | 8 |
| File Format | |
| ISBN | 1595932879 |
| DOI | 10.1145/1111449.1111472 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-01-29 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Forms Virtual information officer Microforms Machine learning Information extraction Vio Natural language analysis |
| Content Type | Text |
| Resource Type | Article |
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