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MBTI-based Recommendation for Resource Collaboration System in IoT Environment

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2017, 22(3), pp.35-43
  • DOI : 10.9708/jksci.2017.22.03.035
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 22, 2016
  • Accepted : March 14, 2017
  • Published : March 31, 2017

1)Jong-Hyun Park 1

1충남대학교

Accredited

ABSTRACT

In IoT(Internet of Things) environment, users want to receive customized service by users’ personal device such as smart watch and pendant. To fulfill this requirement, the mobile device should support a lot of functions. However, the miniaturization of mobile devices is another requirement and has limitation such as tiny display. limited I/O, and less powerful processors. To solve this limitation problem and provide customized service to users, this paper proposes a collaboration system for sharing various computing resources. The paper also proposes the method for reasoning and recommending suitable resources to compose the user-requested service in small device with limited power on expected time. For this goal, our system adopts MBTI(Myers-Briggs Type Indicator) to analyzes user's behavior pattern and recommends personalized resources based on the result of the analyzation. The evaluation in this paper shows that our approach not only reduces recommendation time but also increases user satisfaction with the result of recommendation.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.