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CUVE: Making Supervised Classification more Accessible through Visualization
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arXiv:2611.14098v1 Announce Type: new Abstract: We present CUVE, an interface that enables people to build classifiers by generating visualizations that are interpretable by both humans and learning algorithms (the Visualization as Intermediate Representation approach). This UI enables users to create supervised classifiers and to visually investigate how to improve them and how they carry out their function. A preliminary study investigates the usability of our prototype and compares it with a traditional text-based programming interface.
Source：https://arxiv.org/abs/2611.14098PreviousBODYinTRANSIT-Lab: A Multimodal Dataset for Investigating Sensory-Driven Transformations in Body Perception and Affective ExperiencesNextUneven Self-Reported AI Use: An Embedded Case Study Across Eleven Teams in a Software Organization
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