a text-based chat system embodied with an expressive agent

Clicks: 5
ID: 197500
2017
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #42 of 44 articles by views in journal of materials science

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Life-like characters are playing vital role in social computing by making human-computer interaction more easy and spontaneous. Nowadays, use of these characters to interact in online virtual environment has gained immense popularity. In this paper, we proposed a framework for a text-based chat system embodied with a life-like virtual agent that aims at natural communication between the users. To achieve this kind of system, we developed an agent that performs some nonverbal communications such as generating facial expression and motions by analyzing the text messages of the users. More specifically, this agent is capable of generating facial expressions for six basic emotions such as happy, sad, fear, angry, surprise, and disgust along with two additional emotions, irony and determined. Then to make the interaction between the users more realistic and lively, we added motions such as eye blink and head movements. We measured our proposed system from different aspects and found the results satisfactory, which make us believe that this kind of system can play a significant role in making an interaction episode more natural, effective, and interesting. Experimental evaluation reveals that the proposed agent can display emotive expressions correctly 93% of the time by analyzing the users’ text input.
Reference Key
alam2017advancesa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Lamia Alam;Mohammed Moshiul Hoque
Journal journal of materials science
Year 2017
DOI
10.1155/2017/8962762
URL
http://dx.doi.org/10.1155/2017/8962762
Keywords
computer science electronic computers

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.