tailieunhanh - Báo cáo khoa học: "Developments in Affect Detection in E-drama"

We report work1 in progress on adding affect-detection to an existing program for virtual dramatic improvisation, monitored by a human director. To partially automate the directors’ functions, we have partially implemented the detection of emotions, etc. in users’ text input, by means of pattern-matching, robust parsing and some semantic analysis. The work also involves basic research into how affect is conveyed by metaphor. | Developments in Affect Detection in E-drama Li Zhang John A. Barnden Robert J. Hendley and Alan M. Wallington School of Computer Science University of Birmingham UK Abstract We report work1 in progress on adding affect-detection to an existing program for virtual dramatic improvisation monitored by a human director. To partially automate the directors functions we have partially implemented the detection of emotions etc. in users text input by means of pattern-matching robust parsing and some semantic analysis. The work also involves basic research into how affect is conveyed by metaphor. 1 Introduction Improvised drama and role-play are widely used in education counselling and conflict resolution. Researchers have explored frameworks for edrama in which virtual characters avatars interact under the control of human actors. The springboard for our research is an existing system edrama created by Hi8us Midlands Ltd used in schools for creative writing and teaching in various subjects. The experience suggests that e-drama helps students lose their usual inhibitions because of anonymity etc. In edrama characters are completely human-controlled their speeches textual in speech bubbles and their visual forms cartoon figures. The actors users are given a loose scenario within which to improvise but are at liberty to be creative. There is also a human director who constantly monitors the unfolding drama and can intervene by 1 This work is supported by grant RES-328-25-0009 from the ESRC under the ESrC EpSRC DTI PACCIT programme. We are grateful to Hi8us Midlands Ltd Maverick Television Ltd BT and our colleagues . Edmondson . Glasbey . Lee and Z. Wen. The work is also partially supported by EPSRC grant EP C538943 1. for example sending messages to actors or by introducing and controlling a minor bit-part character to interact with the main characters. But this places a heavy burden on directors especially if they are for example teachers and

• Báo cáo khoa học
• Developments in Affect Detection in E drama
• Li Zhang
• John A
• Barnden
• scientific reports
• model language
• process natural language
• 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