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dc.contributor.authorLiu, Qiang Qiangen_US
dc.contributor.authorLi, Quanen_US
dc.contributor.authorTang, Chun Fengen_US
dc.contributor.authorLin, Huan Binen_US
dc.contributor.authorPeng, Zhen Huien_US
dc.contributor.authorLi, Zhi Weien_US
dc.contributor.authorChen, Tian Jianen_US
dc.contributor.editorByška, Jan and Jänicke, Stefanen_US
dc.date.accessioned2020-05-24T13:49:31Z
dc.date.available2020-05-24T13:49:31Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-105-2
dc.identifier.urihttps://doi.org/10.2312/eurp.20201119
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20201119
dc.description.abstractCompensation management is one of the most important elements of personnel management. One type of compensation is traffic supplementary pay for the overtime employees. Conventional analysis of the traffic reimbursement focuses on the basic financial statistics such as the expenditure trends and rankings among different departments in the company. However, it largely ignores the wellbeing of the individuals and their residential distribution that can help improve the effectiveness of compensation strategies. In this work, we propose a visual analytics system based on a company's traffic reimbursement data for the overtime. It assists the compensation managers in understanding the overtime employees' commuting status and providing more indirect compensation benefits for the employees. A user case confirms the efficacy of our system and experts' feedback also suggests that our approach indeed helps them better tackle the problem of analyzing the car-hailing reimbursement data for the overtime.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisualization
dc.subjectVisualization design and evaluation methods
dc.titleVisual Analysis of Car-hailing Reimbursement Data for Overtimeen_US
dc.description.seriesinformationEuroVis 2020 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/eurp.20201119
dc.identifier.pages21-23


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License