Deriving expectations to guide knowledge base creation
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An integrated environment for knowledge acquisition
Proceedings of the 6th international conference on Intelligent user interfaces
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
A reliable natural language interface to household appliances
Proceedings of the 8th international conference on Intelligent user interfaces
Sheepdog: learning procedures for technical support
Proceedings of the 9th international conference on Intelligent user interfaces
Incremental formalization of document annotations through ontology-based paraphrasing
Proceedings of the 13th international conference on World Wide Web
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Journal of Artificial Intelligence Research
Integrating expectations from different sources to help end users acquire procedural knowledge
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Toward harnessing user feedback for machine learning
Proceedings of the 12th international conference on Intelligent user interfaces
Usable artificial intelligence
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Integrating rich user feedback into intelligent user interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Recovering from errors during programming by demonstration
Proceedings of the 13th international conference on Intelligent user interfaces
Toward establishing trust in adaptive agents
Proceedings of the 13th international conference on Intelligent user interfaces
Case-based reasoning for procedure learning by instruction
Proceedings of the 13th international conference on Intelligent user interfaces
Towards intelligent assistance for to-do lists
Proceedings of the 13th international conference on Intelligent user interfaces
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
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
An analysis of procedure learning by instruction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
PLOW: a collaborative task learning agent
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Lowering the barriers to website testing with CoTester
Proceedings of the 15th international conference on Intelligent user interfaces
No Code Required: Giving Users Tools to Transform the Web
No Code Required: Giving Users Tools to Transform the Web
Capturing Common Knowledge about Tasks: Intelligent Assistance for To-Do Lists
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
| Hi-index | 0.00 |
In order for intelligent systems to be applicable in a wide range of situations, end users must be able to modify their task descriptions. We introduce Tailor, a system that allows users to modify task information through instruction. In this approach, the user enters a short sentence to describe the desired change. The system maps the sentence into valid, plausible modifications and checks for unexpected side-effects they may have, working interactively with the user throughout the process. We conducted preliminary tests in which subjects used Tailor to make modifications to domains drawn from the eHow website, applying modifications posted by readers as 'tips'. In this way the subjects acted as interpreters between Tailor and the human-generated descriptions of modifications. Almost all the subjects were able to make all modifications to the process descriptions with Tailor, indicating that the interpreter role is quite natural for users.