Title :
Using Gunnnig-Fog Index to Assess Instant Messages Readability from ECAs
Author :
Goh, Ong Sing ; Fung, Chun Che ; Depickere, Arnold ; Wong, Kok Wai
Author_Institution :
Murdoch Univ., Perth
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".
Keywords :
artificial intelligence; electronic messaging; human computer interaction; natural language processing; Gunnnig-fog index; artificial intelligent natural-language identity; embodied conversational agent; human conversation; human-machine conversation transcripts; instant messages readability; Artificial intelligence; Computer architecture; Data mining; Humans; Internet; Man machine systems; Mobile communication; Natural languages; Robots; Service oriented architecture;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.800
