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

Goh, O.S., Fung, C.C., 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.

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    Link to Published Version: http://dx.doi.org/10.1109/ICNC.2007.800
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    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.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: (c) 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.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/583
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