S. Gelineck and A. Kirk-Uhrenholt, “Towards Improving Overview and Metering through Visualization and Dynamic Query Filters for User Interfaces Implementing the Stage Metaphor for Music Mixing,” in Proc. AES Convention 141, Sep. 2016, pp. 292:1-. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18390
Gelineck S, Kirk-Uhrenholt A. Towards Improving Overview and Metering through Visualization and Dynamic Query Filters for User Interfaces Implementing the Stage Metaphor for Music Mixing. In: AES Convention 141. Audio Engineering Society; 2016.pp. 292:1-. Available from: https://aes.org/publications/elibrary-page/?id=18390
@inproceedings{Gelineck2016_18390,
author = {Gelineck, Steven and Kirk-Uhrenholt, Anders},
title = {{Towards Improving Overview and Metering through Visualization and Dynamic Query Filters for User Interfaces Implementing the Stage Metaphor for Music Mixing}},
booktitle = {AES Convention 141},
pages = {292:1-},
year = {2016},
month = sep,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=18390}
}
TY - CPAPER
TI - Towards Improving Overview and Metering through Visualization and Dynamic Query Filters for User Interfaces Implementing the Stage Metaphor for Music Mixing
AU - Gelineck, Steven
AU - Kirk-Uhrenholt, Anders
T2 - AES Convention 141
SP - 1
M1 - Paper 292
PY - 2016
DA - 2016/09/06
UR - https://aes.org/publications/elibrary-page/?id=18390
PB - Audio Engineering Society
LA - en
AB - This paper deals with challenges involved with implementing the stage metaphor control scheme for mixing music. Recent studies suggest that the stage metaphor outperforms the traditional channel-strip metaphor in several different ways. However, the implementation of the stage metaphor poses issues including clutter, lack of overview and monitoring of levels, and EQ. Drawing upon suggestions in recent studies, the paper describes the implementation of a stage metaphor prototype incorporating several features for dealing with these issues, including level and EQ monitoring using brightness, shape, and size. Moreover we explore the potential of using Dynamic Query filtering for localizing channels with certain properties of interest. Finally, an explorative user evaluation compares different variations of the prototype, leading to a discussion of the importance of each feature.
ER -