Beyond Feature Relevance: Incorporating Rich User Feedback Into Interactive Machine Learning Applications

Abstract

The success of interactive machine learning systems depends both on the machine and on the human performance. An understanding of machine capabilities and limitations should inform interaction design, while the abilities, preferences, and limitations of human operators should inform the choice of inputs, outputs, and performance requirements of machine… (More)

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.

Slides referencing similar topics