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

Volume

5

fYear

2007

Firstpage

480

Lastpage

486

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2007. ICNC 2007. Third International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2875-5

Type

conf

DOI

10.1109/ICNC.2007.800

Filename

4344888