How and What Can Humans Learn from Being in the Loop?
Abstract
This article discusses the counterpart of interactive machine learning, i.e., human learning while being in the loop in a human-machine collaboration. For such cases we propose the use of a Contradiction Matrix to assess the overlap and the contradictions of human and machine predictions. We show in a small-scaled user study with experts in the area of pneumology (1) that machine-learning based systems can classify X-rays with respect to...
Paper Details
Title
How and What Can Humans Learn from Being in the Loop?
Published Date
Jan 22, 2020
Journal
Volume
34
Issue
2
Pages
199 - 207
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