Document Type
Article
Publication Date
2003
Publication Source
Working Notes of the IJCAI Conference Workshop on Mixed-Initiative Intelligent Systems
Abstract
Mixed-initiative interaction is an important facet of many conversational interfaces, flexible planning architectures, intelligent tutoring systems, and interactive information retrieval systems. Software systems for mixed-initiative interaction must enable us to both operationalize the mixing of initiative (i.e., support the creation of practical dialogs) and to reason in real-time about how a flexible mode of interaction can be supported (e.g., from a meta-dialog standpoint). In this paper, we present the staging transformation approach to mixing initiative, where a dialog script captures the structure of the dialog and dialog control processes are realized through generous use of program transformation techniques (e.g., partial evaluation, currying, slicing); this allows control to be cast as the process of moving from one dialog script to another. In this approach, operationalizing mixed-initiative interaction becomes the task of finding a suitable program transformation to stage the interaction between the two participants. We highlight the advantages of this approach and present its realization in various modalities for information seeking dialogs. We also outline how high-level reasoning capabilities about dialogs can be provided in the staging transformation framework.
Inclusive pages
23-29
Document Version
Postprint
Publisher
International Joint Conference on Artificial Intelligence (IJCAI)
Peer Reviewed
yes
eCommons Citation
Capra, Robert; Narayan, Michael; Perugini, Saverio; Ramakrishnan, Naren; and Pérez-Quiñones, Manuel A., "The Staging Transformation Approach to Mixing Initiative" (2003). Computer Science Faculty Publications. 38.
https://ecommons.udayton.edu/cps_fac_pub/38
Included in
Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons, Numerical Analysis and Scientific Computing Commons, OS and Networks Commons, Other Computer Sciences Commons, Software Engineering Commons, Systems Architecture Commons, Theory and Algorithms Commons
Comments
This is the authors' version of work accepted for presentation at the 2003 IJCAI Conference Workshop on Mixed-Initiative Intelligence Systems; for reuse or reprint, contact the organization at http://ijcai.org.