Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface

Dewey C, Wakefield J. Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9935. Available from: https://aes.org/publications/elibrary-page/?id=19452

@inproceedings{Dewey2018_19452,
  author = {Dewey, Christopher and Wakefield, Jonathan},
  title = {{Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface}},
  booktitle = {AES Convention 144},
  note = {Paper 9935},
  year = {2018},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19452}
}

TY  - CPAPER
TI  - Elicitation and Quantitative Analysis of User Requirements for Audio Mixing Interface
AU  - Dewey, Christopher
AU  - Wakefield, Jonathan
T2  - AES Convention 144
M1  - Paper 9935
PY  - 2018
DA  - 2018/05/06
UR  - https://aes.org/publications/elibrary-page/?id=19452
PB  - Audio Engineering Society
LA  - en
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.
ER  -