Raw data files for several research experiments that use HCD Connect Case study data. If you use this data in any of your own research, please cite the following article:
Mark Fuge, Bud Peters, and Alice Agogino Machine Learning Algorithms for Recommending Design Methods Journal of Mechanical Design, 136 (10) (August, 2014)
@article{fugeHCD2014JMD,
author = {Fuge, Mark and Peters, Bud and Agogino, Alice},
day = {18},
doi = {10.1115/1.4028102},
issn = {1050-0472},
journal = {Journal of Mechanical Design},
month = aug,
number = {10},
pages = {101103+},
title = {Machine Learning Algorithms for Recommending Design Methods},
url = {http://dx.doi.org/10.1115/1.4028102},
volume = {136},
year = {2014}
}
Additional articles using this data which might be relevant to cite:
Mark Fuge, Alice Agogino. "User Research Methods for Development Engineering: A Study of Method Usage with IDEO's HCD Connect" in Proceedings of ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, August 17-20, 2014, Buffalo, USA.
@inproceedings{fuge:idetc_2014_hcd,
address = {Buffalo, U.S.A.},
author = {Fuge, Mark and Agogino, Alice},
booktitle = {ASME International Design Engineering Technical Conferences},
day = {17-20},
month = aug,
title = {{User Research Methods for Development Engineering: A Study of Method Usage with IDEO's HCD Connect}},
year = {2014}
}
The data is licensed under the Apache v2 license.