Using Gunnnig-fog Index to assess instant messages readability from ECAs
In this paper, we examine the readability of the human-machine conversation transcripts in the instant messaging environment based on the Gunning-fog index. The study is based on an embodied conversational agent (ECA) called artificial intelligent natural-language identity (AINI) which was designed...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2007
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/12387/1/Using_Gunnnig-Fog_Index_to_Assess_Instant_Messages_Readability_from_ECAs.pdf http://eprints.utem.edu.my/id/eprint/12387/ http://researchrepository.murdoch.edu.au/583/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
