Thesis Topic Details
Topic ID: |
2920 | |
Title: |
Game AI: Conversational behaviours | |
Supervisor: |
Malcolm Ryan | |
Research Area: |
Artificial Intelligence, Computer Vision | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Maurice Pagnucco | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CE SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
COMP3411 - DN or better | |
Description: |
In conversation we have well-established signals by which can tell when it is our turn to speak. We unconciously recognise features of our partner's body-language and speech pattern which let us know when it is appropriate to break in, and we also know how to indicate that our turn is over. The aim of this project is to build an AI agent which is also able to recognise and produce these cues, using them to hold a 'realistic' gibberish conversation. |
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Comments: |
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| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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