Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface
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C. Dewey, and J. Wakefield, "Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface," Paper 9935, (2018 May.). doi:
C. Dewey, and J. Wakefield, "Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface," Paper 9935, (2018 May.). doi:
Abstract: Existing Audio Mixing Interfaces (AMIs) have focused primarily on track level and pan and related visualizations. This paper places the user at the start of the AMI design process by reconsidering what are the most important aspects of an AMI’s visual feedback from a user’s perspective and also which parameters are most frequently used by users. An experiment was conducted with a novel AMI which in one mode provides the user with no visual feedback. This enabled the qualitative elicitation of the most desired visual feedback from test subjects. Additionally, logging user interactions enabled the quantitative analysis of time spent on different mix parameters. Results with music technology undergraduate students suggest that AMIs should concentrate on compression and EQ visualization.
@article{dewey2018elicitation,
author={dewey, christopher and wakefield, jonathan},
journal={journal of the audio engineering society},
title={elicitation and quantitative analysis of user requirements for audio mixing interface},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{dewey2018elicitation,
author={dewey, christopher and wakefield, jonathan},
journal={journal of the audio engineering society},
title={elicitation and quantitative analysis of user requirements for audio mixing interface},
year={2018},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={existing audio mixing interfaces (amis) have focused primarily on track level and pan and related visualizations. this paper places the user at the start of the ami design process by reconsidering what are the most important aspects of an ami’s visual feedback from a user’s perspective and also which parameters are most frequently used by users. an experiment was conducted with a novel ami which in one mode provides the user with no visual feedback. this enabled the qualitative elicitation of the most desired visual feedback from test subjects. additionally, logging user interactions enabled the quantitative analysis of time spent on different mix parameters. results with music technology undergraduate students suggest that amis should concentrate on compression and eq visualization.},}
TY - paper
TI - Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface
SP -
EP -
AU - Dewey, Christopher
AU - Wakefield, Jonathan
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
TY - paper
TI - Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface
SP -
EP -
AU - Dewey, Christopher
AU - Wakefield, Jonathan
PY - 2018
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2018
AB - Existing Audio Mixing Interfaces (AMIs) have focused primarily on track level and pan and related visualizations. This paper places the user at the start of the AMI design process by reconsidering what are the most important aspects of an AMI’s visual feedback from a user’s perspective and also which parameters are most frequently used by users. An experiment was conducted with a novel AMI which in one mode provides the user with no visual feedback. This enabled the qualitative elicitation of the most desired visual feedback from test subjects. Additionally, logging user interactions enabled the quantitative analysis of time spent on different mix parameters. Results with music technology undergraduate students suggest that AMIs should concentrate on compression and EQ visualization.
Existing Audio Mixing Interfaces (AMIs) have focused primarily on track level and pan and related visualizations. This paper places the user at the start of the AMI design process by reconsidering what are the most important aspects of an AMI’s visual feedback from a user’s perspective and also which parameters are most frequently used by users. An experiment was conducted with a novel AMI which in one mode provides the user with no visual feedback. This enabled the qualitative elicitation of the most desired visual feedback from test subjects. Additionally, logging user interactions enabled the quantitative analysis of time spent on different mix parameters. Results with music technology undergraduate students suggest that AMIs should concentrate on compression and EQ visualization.
Authors:
Dewey, Christopher; Wakefield, Jonathan
Affiliation:
University of Huddersfield, Huddersfield, UK
AES Convention:
144 (May 2018)
Paper Number:
9935
Publication Date:
May 14, 2018Import into BibTeX
Subject:
Posters: Applications
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=19452