Title
Using Gunnnig-Fog Index to Assess Instant Messages Readability from ECAs
Abstract
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 to mimic human conversation. The ECA is also expected to supply answers with a sense of humour. We report on the collection and analysis of a corpus containing over 3,280 utterances in a series of real instant messages exchanged between AINI with 65 online "buddies".
Year
DOI
Venue
2007
10.1109/ICNC.2007.800
ICNC
Keywords
Field
DocType
human conversation,gunning-fog index,conversational agent,artificial intelligent natural-language identity,machine conversation transcript,assess instant messages readability,real instant message,instant messaging environment,gunnnig-fog index,human computer interaction,artificial intelligent,natural language,artificial intelligence,indexation,natural language processing
Instant,Conversation,Computer science,Instant messaging,Embodied cognition,Readability,Electronic messaging,Artificial intelligence,Natural language processing,Dialog system
Conference
Volume
ISSN
ISBN
5
2157-9555
0-7695-2875-9
Citations 
PageRank 
References 
2
0.39
9
Authors
4
Name
Order
Citations
PageRank
Ong-sing Goh1298.45
Chun Che Fung227244.51
Arnold Depickere3556.69
Kok Wai Wong472577.68