@inproceedings{sarkar2014teach,
author={Sarkar, Advait and Blackwell, Alan F and Jamnik, Mateja and Spott, Martin},
booktitle={{Visual Languages and Human-Centric Computing (VL/HCC), 2014 IEEE Symposium on}},
title={Teach and try: A simple interaction technique for exploratory data modelling by end users},
year={2014},
month=jul,
pages={53--56},
abstract={The modern economy increasingly relies on exploratory data analysis. Much of this is dependent on data scientists - expert statisticians who process data using statistical tools and programming languages. Our goal is to offer some of this analytical power to end-users who have no statistical training through simple interaction techniques and metaphors. We describe a spreadsheet-based interaction technique that can be used to build and apply sophisticated statistical models such as neural networks, decision trees, support vector machines and linear regression. We present the results of an experiment demonstrating that our prototype can be understood and successfully applied by users having no professional training in statistics or computing, and that the experience of interacting with the system leads them to acquire some understanding of the concepts underlying exploratory statistical modelling.},
keywords={data analysis;decision trees;neural nets;regression analysis;support vector machines;data processing;data scientists;decision trees;exploratory data analysis;exploratory data modelling;linear regression;neural networks;programming languages;spreadsheet-based interaction technique;statistical modelling;statistical tools;support vector machines;teach-and-try technique;Biological system modeling;Computational modeling;Computers;Data models;Prototypes;Software;Training},
doi={10.1109/VLHCC.2014.6883022},
isbn = {978-1-4799-4035-6},
publisher = {IEEE},
url = {https://www.cl.cam.ac.uk/~as2006/files/sarkar\_2014\_teach\_try.pdf http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6883022}
}