@inproceedings{amershi2011effective,
author = {Amershi, Saleema and Fogarty, James and Kapoor, Ashish and Tan, Desney},
title = {Effective End-User Interaction with Machine Learning},
booktitle = {AAAI (Nectar Track)},
year = {2011},
month = {August},
abstract = {End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can create end-user interactive machine learning systems for specific applications. However, we still lack a generalized understanding of how to design effective end-user interaction with interactive machine learning systems. This work presents three explorations in designing for effective end-user interaction with machine learning in CueFlik, a system developed to support Web image search. These explorations demonstrate that interactions designed to balance the needs of end-users and machine learning algorithms can significantly improve the effectiveness of end-user interactive machine learning.},
url = {http://approjects.co.za/?big=en-us/research/publication/effective-end-user-interaction-machine-learning/},
edition = {AAAI (Nectar Track)},
}