Using Gunnnig-fog Index to assess instant messages readability from ECAs
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...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
IEEE
2007
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/12387/1/Using_Gunnnig-Fog_Index_to_Assess_Instant_Messages_Readability_from_ECAs.pdf http://eprints.utem.edu.my/id/eprint/12387/ http://researchrepository.murdoch.edu.au/583/ |
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| Summary: | 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. |
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