TAILIEUCHUNG - Báo cáo khoa học: "Keeping the initiative: an empirically-motivated approach to predicting user-initiated dialogue contributions in HCI"

In this paper, we address the problem of reducing the unpredictability of userinitiated dialogue contributions in humancomputer interaction without explicitly restricting the user’s interactive possibilities. We demonstrate that it is possible to identify conditions under which particular classes of user-initiated contributions will occur and discuss consequences for dialogue system design. | Keeping the initiative an empirically-motivated approach to predicting user-initiated dialogue contributions in HCI Kerstin Fischer and John A. Bateman Faculty of Linguistics and Literary Sciences and SFB TR8 University of Bremen Bremen Germany kerstinf bateman @ Abstract In this paper we address the problem of reducing the unpredictability of user-initiated dialogue contributions in humancomputer interaction without explicitly restricting the user s interactive possibilities. We demonstrate that it is possible to identify conditions under which particular classes of user-initiated contributions will occur and discuss consequences for dialogue system design. 1 Introduction It is increasingly recognised that human-computer dialogue situations can benefit considerably from mixed-initiative interaction Allen 1999 . Interaction where there is or appears to be little restriction on just when and how the user may make a dialogue contribution increases the perceived naturalness of an interaction itself a valuable goal and also opens up the application of human-computer interaction HCI to tasks where both system and user are contributing more equally to the task being addressed. Problematic with the acceptance of mixed-initiative dialogue however is the radically increased interpretation load placed on the dialogue system. This flexibility impacts negatively on performance at all levels of system design from speech recognition to intention interpretation. In particular clarification questions initiated by the user are difficult to process because they may appear off-topic and can occur at any point. But preventing users from posing such questions leads to stilted interaction and a reduced sense of control over how things are proceeding. In this paper we pursue a partial solution to the problem of user-initiated contributions that takes its lead from detailed empirical studies of how such situations are handled in human-human interaction. Most proposed .

• Báo cáo khoa học
• Keeping the initiative
• an empirically motivated
• predicting user initiated dialogue contributions in HCI
• scientific reports
• model language
• process natural language
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln