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A Survey of Evaluation Metrics Used for NLG Systems
The success of Deep Learning has created a surge in interest in a wide a...
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PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories
Production planning in the manufacturing industry is crucial for fully u...
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Team Performance Evaluation Model based on Network Feature Extraction
Teamwork is increasingly important in today's society. This paper aims a...
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Should we Reload Time Series Classification Performance Evaluation ? (a position paper)
Since the introduction and the public availability of the ucr time serie...
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Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
As machine learning systems move from computer-science laboratories into...
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On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
To assess the performance of load disaggregation algorithms it is common...
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Visual Analytics of Group Differences in Tensor Fields: Application to Clinical DTI
We present a visual analytics system for exploring group differences in ...
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MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies
Evaluating employee performance in organizations with varying workloads and tasks is challenging. Specifically, it is important to understand how quantitative measurements of employee achievements relate to supervisor expectations, what the main drivers of good performance are, and how to combine these complex and flexible performance evaluation metrics into an accurate portrayal of organizational performance in order to identify shortcomings and improve overall productivity. To facilitate this process, we summarize common organizational performance analyses into four visual exploration task categories. Additionally, we develop MetricsVis, a visual analytics system composed of multiple coordinated views to support the dynamic evaluation and comparison of individual, team, and organizational performance in public safety organizations. MetricsVis provides four primary visual components to expedite performance evaluation: (1) a priority adjustment view to support direct manipulation on evaluation metrics; (2) a reorderable performance matrix to demonstrate the details of individual employees; (3) a group performance view that highlights aggregate performance and individual contributions for each group; and (4) a projection view illustrating employees with similar specialties to facilitate shift assignments and training. We demonstrate the usability of our framework with two case studies from medium-sized law enforcement agencies and highlight its broader applicability to other domains.
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