Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form
D-Scholarship @ Pitt Banner and Links to Homepage

Modelling user satisfaction and student learning in a spoken dialogue tutoring system with generic, tutoring, and user affect parameters

Forbes-Riley, K and Litman, DJ (2006) Modelling user satisfaction and student learning in a spoken dialogue tutoring system with generic, tutoring, and user affect parameters. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.
Download (1kB)

Abstract

We investigate using the PARADISE framework to develop predictive models of system performance in our spoken dialogue tutoring system. We represent performance with two metrics: user satisfaction and student learning. We train and test predictive models of these metrics in our tutoring system corpora. We predict user satisfaction with 2 parameter types: 1) system-generic, and 2) tutoring-specific. To predict student learning, we also use a third type: 3) user affect. Al-hough generic parameters are useful predictors of user satisfaction in other PARADISE applications, overall our parameters produce less useful user satisfaction models in our system. However, generic and tutoring-specific parameters do produce useful models of student learning in our system. User affect parameters can increase the usefulness of these models. © 2006 Association for Computational Linguistics.

Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Forbes-Riley, K
Litman, DJdlitman@pitt.eduDLITMAN
Centers: University Centers > Learning Research and Development Center (LRDC)
Date: 1 December 2006
Date Type: Publication
Journal or Publication Title: HLT-NAACL 2006 - Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings of the Main Conference
Page Range: 264 - 271
Event Type: Conference
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Intelligent Systems
Refereed: Yes
Date Deposited: 18 Dec 2014 16:30
Last Modified: 02 Feb 2019 15:59
URI: http://d-scholarship.pitt.edu/id/eprint/23237

Metrics

Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item