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http://dx.doi.org/10.9708/jksci.2014.19.1.203

User Satisfaction Analysis on Similarity-based Inference Insect Search Method in u-Learning Insect Observation using Smart Phone  

Jun, Eung Sup (Dept. of Computer Software, Induk University)
Abstract
In this study, we proposed a new model with ISOIA (Insect Search by Observation based on Insect Appearance) method based on observation by insect appearance to improve user satisfaction, and compared it with the ISBC and ISOBC methods. In order to test these three insect search systems with AHP method, we derived three evaluation criteria for user satisfaction and three sub-evaluation criteria by evaluation criterion. In the ecological environment, non-experts need insect search systems to identify insect species and to get u-Learning contents related to the insects. To assist the public the non-experts, ISBC (Insect Search by Biological Classification) method based on biological classification to search insects and ISOBC (Insect Search by Observation based on Biological Classification) method based on the inference that identifies the observed insect through observation according to biological classification have been provided. In the test results, we found the order of priorities was ISOIA, ISOBC, and ISBC. It shows that the ISOIA system proposed in this study is superior in usage and quality compared with the previous insect search systems.
Keywords
Insect Search Systems; User Satisfaction; AHP method; ISOIA; ISOBC; ISBC;
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