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2014 | OriginalPaper | Chapter

Prescriptive Analytics System for Scholar Research Performance Enhancement

Authors : Mikyoung Lee, Minhee Cho, Jangwon Gim, Do-Heon Jeong, Hanmin Jung

Published in: HCI International 2014 - Posters’ Extended Abstracts

Publisher: Springer International Publishing

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We introduce a prescriptive analytics system, InSciTe Advisory, to provide researchers with advice for their future research direction and strategy. It consists of two main parts: descriptive analytics and prescriptive analytics. Descriptive analytics provides results from research activity history as well as the research power index for the designated researcher. Prescriptive analytics suggests a group of role model researchers to the researcher, as well as methods to adopt their best practices. The prescription for the researcher is provided according to 5W1H questions and their corresponding answers. All of the analytical results and their explanations related to the given researcher are automatically generated and saved to a report. This researcher-centric prescriptive analytics framework is expected to be a useful tool to understand the designated researcher from the perspective of prescriptive and descriptive analytics. We evaluated user satisfaction results for InSciTe Advisory and Elsvier Scival by five test users. The result of the evaluation demonstrated that user satisfaction of InSciTe Advisory is 126.5% higher than Scival.

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Metadata
Title
Prescriptive Analytics System for Scholar Research Performance Enhancement
Authors
Mikyoung Lee
Minhee Cho
Jangwon Gim
Do-Heon Jeong
Hanmin Jung
Copyright Year
2014
Publisher
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-07857-1_33