Mixed-initiative Human-Computer Dialogs through Natural Language
Joshua W Buck
Specification and implementation of flexible human-computer dialogs is challenging because of the complexity involved in rendering the dialog responsive to a vast number of varied paths through which users might desire to complete the dialog. To address this problem, we developed a toolkit for modeling and implementing task-based, mixed-initiative dialogs based on metaphors from lambda calculus. Our toolkit can automatically operationalize a dialog that involves a given number of prompts and/or sub-dialogs, given a high-level dialog specification of it. Our current research entails incorporating the use of natural language to make the flexibility in communicating user utterances commensurate with that in dialog completion paths.
Independent Research - Undergraduate
Tam Nguyen, Saverio Perugini
Primary Advisor's Department
Stander Symposium poster
"Mixed-initiative Human-Computer Dialogs through Natural Language" (2017). Stander Symposium Posters. 870.