ACM Home Page
Please provide us with feedback. Feedback
The interactive chef: a task-sensitive assistant
Full text PdfPdf (188 KB)
Source International Conference on Intelligent User Interfaces archive
Proceedings of the 7th international conference on Intelligent user interfaces table of contents
San Francisco, California, USA
DEMONSTRATION SESSION: Demonstration Descriptions table of contents
Pages: 234 - 234  
Year of Publication: 2002
ISBN:1-58113-459-2
Authors
Leonard Chen  Northwestern University, Evanston, IL
Sandra Cheng  Northwestern University, Evanston, IL
Larry Birnbaum  Northwestern University, Evanston, IL
Kristian J. Hammond  Northwestern University, Evanston, IL
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 28,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/502716.502773
What is a DOI?

ABSTRACT

In this paper, we describe the Interactive Chef (IChef), an intelligent system that attempts to emulate a human cooking assistant. The user navigates through a recipe using voice, while IChef reads aloud each step. IChef is designed to be aware of the present context and exploit this knowledge by answering questions about ingredients or techniques posed by the user in natural spoken language.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
Franklin, D., Bradshaw, S., and Hammond, K. (1999). Beyond "Next slide, please": The use of content and speech in multi-modal control. In Working Notes of the AAAI-99 Workshop on Intelligent Information Systems.
 
3
Heckerman, D., and Horvitz, E. (1998). Inferring Informational Goals from Free-Text Queries: A Bayesian Approach. In Proceedings of Fourteenth Conference of Uncertainty in Artificial Intelligence.


Collaborative Colleagues:
Leonard Chen: colleagues
Sandra Cheng: colleagues
Larry Birnbaum: colleagues
Kristian J. Hammond: colleagues