Usability Papers

Some random usability papers that look intersting,

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@inproceedings{223730,
author = {Jakob Nielsen},
title = {Usability inspection methods},
booktitle = {CHI '95: Conference companion on Human factors in computing systems},
year = {1995},
isbn = {0-89791-755-3},
pages = {377--378},
location = {Denver, Colorado, United States},
doi = {http://doi.acm.org/10.1145/223355.223730},
publisher = {ACM},
address = {New York, NY, USA},
}

@inproceedings{1297200,
author = {Tasha Hollingsed and David G. Novick},
title = {Usability inspection methods after 15 years of research and practice},
booktitle = {SIGDOC '07: Proceedings of the 25th annual ACM international conference on Design of communication},
year = {2007},
isbn = {978-1-59593-588-5},
pages = {249--255},
location = {El Paso, Texas, USA},
doi = {http://doi.acm.org/10.1145/1297144.1297200},
publisher = {ACM},
address = {New York, NY, USA},
}

@inproceedings{1240722,
author = {Kasper Hornb\aek and Effie Lai-Chong Law},
title = {Meta-analysis of correlations among usability measures},
booktitle = {CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems},
year = {2007},
isbn = {978-1-59593-593-9},
pages = {617--626},
location = {San Jose, California, USA},
doi = {http://doi.acm.org/10.1145/1240624.1240722},
publisher = {ACM},
address = {New York, NY, USA},
}

@article{503114,
author = {Melody Y. Ivory and Marti A Hearst},
title = {The state of the art in automating usability evaluation of user interfaces},
journal = {ACM Comput. Surv.},
volume = {33},
number = {4},
year = {2001},
issn = {0360-0300},
pages = {470--516},
doi = {http://doi.acm.org/10.1145/503112.503114},
publisher = {ACM},
address = {New York, NY, USA},
}

@article{371593,
author = {David M. Hilbert and David F. Redmiles},
title = {Extracting usability information from user interface events},
journal = {ACM Comput. Surv.},
volume = {32},
number = {4},
year = {2000},
issn = {0360-0300},
pages = {384--421},
doi = {http://doi.acm.org/10.1145/371578.371593},
publisher = {ACM},
address = {New York, NY, USA},
}

@inproceedings{1357196,
author = {Martin Schmettow and Wolfgang Vietze},
title = {Introducing item response theory for measuring usability inspection processes},
booktitle = {CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems},
year = {2008},
isbn = {978-1-60558-011-1},
pages = {893--902},
location = {Florence, Italy},
doi = {http://doi.acm.org/10.1145/1357054.1357196},
publisher = {ACM},
address = {New York, NY, USA},
}

Item Response Theory (Wikipedia)
In psychometrics, item response theory (IRT) is a body of theory describing the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables. ... At its most basic level, it is based on the idea that the probability of getting an item correct is a function of a latent trait or ability.