Web Technologies for Scientific Hearing Experiments and Teaching - An Overview
Scientists of many audio-related fields need to verify their theories by conducting controlled experiments with human test subjects. The process of developing and conducting such experiments often poses non-trivial challenges to scientists and test subjects. Web technologies promise simple delivery of experiments as interactive websites, possible even on subjects' own computers. Similar benefits are possible for teaching science. While many tasks in hearing experiments and teaching are well-supported with current web-based tools, suuport for scientific data structures, signal processing operations and statistical data analysis methods is still incomplete in comparison with entrenched non-web tools. These shortcomings could easily be overcome with a few libraries, and would provide a great boon to scientists and educators.
@inproceedings{2017_EA_9,
abstract = {Scientists of many audio-related fields need to verify their theories by conducting controlled experiments with human test subjects. The process of developing and conducting such experiments often poses non-trivial challenges to scientists and test subjects. Web technologies promise simple delivery of experiments as interactive websites, possible even on subjects' own computers. Similar benefits are possible for teaching science. While many tasks in hearing experiments and teaching are well-supported with current web-based tools, suuport for scientific data structures, signal processing operations and statistical data analysis methods is still incomplete in comparison with entrenched non-web tools. These shortcomings could easily be overcome with a few libraries, and would provide a great boon to scientists and educators.},
address = {London, United Kingdom},
author = {Bechtold, Bastian and Volke, Stephanus and Bitzer, Joerg},
booktitle = {Proceedings of the International Web Audio Conference},
editor = {Thalmann, Florian and Ewert, Sebastian},
month = {August},
pages = {},
publisher = {Queen Mary University of London},
series = {WAC '17},
title = {Web Technologies for Scientific Hearing Experiments and Teaching - An Overview},
year = {2017},
ISSN = {2663-5844}
}