Document Type
Conference Paper
Publication Date
3-2017
Publication Source
Proceedings of the 48th ACM Technical Symposium on Computer Science Education (SIGCSE)
Abstract
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 multiple 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.
Inclusive pages
753-754
ISBN/ISSN
978-1-4503-4698-6/17/03
Document Version
Postprint
Copyright
Copyright © 2017 by the authors. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive version of record is in the Proceedings of the 48th ACM Technical Symposium on Computer Science Education (SIGCSE).
Publisher
ACM
Place of Publication
New York, NY
eCommons Citation
Buck, Joshua W. and Perugini, Saverio, "Mixed-initiative Personal Assistants" (2017). Computer Science Faculty Publications. 86.
https://ecommons.udayton.edu/cps_fac_pub/86
Comments
The document available for download is the authors' accepted manuscript, provided in compliance with ACM's policy on self-archiving and with the permission of the authors. Permission documentation is on file. The version of record is available using the DOI provided.
Faculty advisor: Saverio Perugini, associate professor of computer science at the University of Dayton
Full citation: Buck, J.W., and Perugini, S. (2016). Mixed-initiative personal assistants [Abstract]. In Barnes, T. & Garcia, D. (Eds.), Proceedings of the 48th ACM Technical Symposium on Computer Science Education (SIGCSE). New York, NY: ACM Press, pp. 753-754. (Student research competition)