DARC: A Visual Analytics System for Multivariate Applicant Data Aggregation, Reasoning and Comparison

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dc.contributor.authorHou, Yihanen_US
dc.contributor.authorLiu, Yuen_US
dc.contributor.authorWang, Heen_US
dc.contributor.authorZhang, Zhichaoen_US
dc.contributor.authorLi, Yueen_US
dc.contributor.authorLiang, Hai-Ningen_US
dc.contributor.authorYu, Lingyunen_US
dc.contributor.editorYang, Yinen_US
dc.contributor.editorParakkat, Amal D.en_US
dc.contributor.editorDeng, Bailinen_US
dc.contributor.editorNoh, Seung-Taken_US
dc.date.accessioned2022-10-04T06:38:05Z
dc.date.available2022-10-04T06:38:05Z
dc.date.issued2022
dc.description.abstractPeople often make decisions based on their comprehensive understanding of various materials, judgement of reasons, and comparison among choices. For instance, when hiring committees review multivariate applicant data, they need to consider and compare different aspects of the applicants' materials. However, the amount and complexity of multivariate data increase the difficulty to analyze the data, extract the most salient information, and then rapidly form opinions based on the extracted information. Thus, a fast and comprehensive understanding of multivariate data sets is a pressing need in many fields, such as business and education. In this work, we had in-depth interviews with stakeholders and characterized user requirements involved in data-driven decision making in reviewing school applications. Based on these requirements, we propose DARC, a visual analytics system for facilitating decision making on multivariate applicant data. Through the system, users are supported to gain insights of the multivariate data, picture an overview of all data cases, and retrieve original data in a quick and intuitive manner. The effectiveness of DARC is validated through observational user evaluations and interviews.en_US
dc.description.sectionheadersPerception and Visualization
dc.description.seriesinformationPacific Graphics Short Papers, Posters, and Work-in-Progress Papers
dc.identifier.doi10.2312/pg.20221248
dc.identifier.isbn978-3-03868-190-8
dc.identifier.pages57-62
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/pg.20221248
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20221248
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleDARC: A Visual Analytics System for Multivariate Applicant Data Aggregation, Reasoning and Comparisonen_US
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