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Resource collaboration system based on user history and the psychological mode

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Abstract

In the Internet of Things (IoT) and Machine to Machine (M2M) environments, users seek a wide variety of services on their own mobile devices with limited resources, such as mobile phones and smart watches. Resource collaboration effectively addresses the concern of restricted resources. In our previous study, we employed reasoning time to recommend resources in our resource collaboration system. We found reasoning time increases exponentially depending on the number of resources and rules for filtering resources. To reduce reasoning time and improve the user satisfaction consequent to reasoning, this current research adopts and applies the Dominance, Inducement, Submission, and Compliance (DISC) model, a popular method in the psychological field for classifying characteristics on the basis of behavior patterns. By implementing and evaluating a prototype system, this paper shows the proposed method is a reasonable solution for resource recommendation.

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2018R1A2B6008965).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Chungnam National University, 99, Daehak-ro, Yuseong-gu, Daejeon, 34134, Republic of Korea

    Jong-Hyun Park

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  1. Jong-Hyun Park
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Correspondence to Jong-Hyun Park.

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Park, JH. Resource collaboration system based on user history and the psychological mode. J Ambient Intell Human Comput 9, 1683–1691 (2018). https://doi.org/10.1007/s12652-018-0807-2

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  • DOI: https://doi.org/10.1007/s12652-018-0807-2

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