Abstract
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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Lee, M., Cho, M., Gim, J., Jeong, DH., Jung, H. (2014). Prescriptive Analytics System for Scholar Research Performance Enhancement. In: Stephanidis, C. (eds) HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Communications in Computer and Information Science, vol 434. Springer, Cham. https://doi.org/10.1007/978-3-319-07857-1_33
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DOI: https://doi.org/10.1007/978-3-319-07857-1_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07856-4
Online ISBN: 978-3-319-07857-1
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