Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Using Gunnnig-Fog index to assess instant messages readability from ECAs

Goh, O.S., Fung, C.C.ORCID: 0000-0001-5182-3558, Depickere, A. and Wong, K.W. (2007) Using Gunnnig-Fog index to assess instant messages readability from ECAs. In: 3rd International Conference on Natural Computation. ICNC 2007., 24-27 Aug. 2007, Haikou pp. 480-486.

PDF - Published Version
Download (246kB)
Link to Published Version:
*Subscription may be required


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.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Information Technology
Publisher: IEEE
Copyright: © 2007 IEEE
Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Item Control Page Item Control Page


Downloads per month over past year