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Evaluating Interactive Data Systems: Workloads, Metrics, and Guidelines

Summary: Survey of evaluation for interactive data systems, cataloging workload characteristics across input modalities (touch, gesture, sliders) and confounding factors in benchmarks and metrics. Two case studies with real user traces reveal metric inadequacies and propose new measures and guidelines to better capture interactivity. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5585
Venue
SIGMOD
Year
2018
Pagerank
5.059132e-05
Overall Rank
6,444 | 55.18%
DOI
10.1145/3183713.3197386

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