Creating Audio Based Experiments as Social Web Games with the CASimIR Framework

Wolff D, Bellec G, Friberg A, MacFarlane A, Weyde T. Creating Audio Based Experiments as Social Web Games with the CASimIR Framework. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014. Paper S1-2. Available from: https://aes.org/publications/elibrary-page/?id=17106

@inproceedings{Wolff2014_17106,
  author = {Wolff, Daniel and Bellec, Guillaume and Friberg, Anders and MacFarlane, Andrew and Weyde, Tillman},
  title = {{Creating Audio Based Experiments as Social Web Games with the CASimIR Framework}},
  booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
  note = {Paper S1-2},
  year = {2014},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17106}
}

TY  - CPAPER
TI  - Creating Audio Based Experiments as Social Web Games with the CASimIR Framework
AU  - Wolff, Daniel
AU  - Bellec, Guillaume
AU  - Friberg, Anders
AU  - MacFarlane, Andrew
AU  - Weyde, Tillman
T2  - AES Conference: 53rd International Conference: Semantic Audio
M1  - Paper S1-2
PY  - 2014
DA  - 2014/01/06
UR  - https://aes.org/publications/elibrary-page/?id=17106
PB  - Audio Engineering Society
LA  - en
AB  - This article presents the CASimIR framework for online experiments, its use for creating a music audio game, and initial results and analyses of the collected data. Gathering user data is essential to understand the semantics of music audio and CASimIR is a new open framework for creating games with a purpose and surveys to collect user data in the Web and social networks. Its design facilitates collaborative data annotation in dynamic environments by providing modules for managing media and annotation data, as well as functionality for creating and running online real-time multi-player games. Technical benefits of the extensible framework as well as its cost effectiveness are discussed. As a case-study, we present its use in Spot The Odd Song Out, a multi-player game for collecting annotations on musical similarity and rhythm and we analyse the quantity and quality of data obtained to date with this game. The results and lessons for future data collection projects in the context of shared and linked data are discussed.
ER  -