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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(1), pp.203-213
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

전응섭 1

1인덕대학교

Accredited

ABSTRACT

In this study, we proposed a new model with ISOIA (Insect Search by Observation based onInsect 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 searchsystems 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 needinsect search systems to identify insect species and to get u-Learning contents related to theinsects. 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 byObservation based on Biological Classification) method based on the inference that identifies theobserved insect through observation according to biological classification have been provided. Inthe test results, we found the order of priorities was ISOIA, ISOBC, and ISBC. It shows that theISOIA system proposed in this study is superior in usage and quality compared with the previousinsect search systems.

Citation status

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