Mixploration: Rethinking the audio mixer interface

Mark Cartwright; Bryan A Pardo; Joshua D. Reiss

doi:10.1145/2557500.2557530

Mixploration: Rethinking the audio mixer interface

Mark Cartwright, Bryan A Pardo, Joshua D. Reiss

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

A typical audio mixer interface consists of faders and knobs that control the amplitude level as well as processing (e.g. equalization, compression and reverberation) parameters of individual tracks. This interface, while widely used and effective for optimizing a mix, may not be the best interface to facilitate exploration of different mixing options. In this work, we rethink the mixer interface, describing an alternative interface for exploring the space of possible mixes of four audio tracks. In a user study with 24 participants, we compared the effectiveness of this interface to the traditional paradigm for exploring alternative mixes. In the study, users responded that the proposed alternative interface facilitated exploration and that they considered the process of rating mixes to be beneficial.

Original language	English (US)
Title of host publication	IUI 2014 - Proceedings of the 19th International Conference on Intelligent User Interfaces
Pages	365-370
Number of pages	6
DOIs	https://doi.org/10.1145/2557500.2557530
State	Published - Mar 14 2014
Event	19th International Conference on Intelligent User Interfaces, IUI 2014 - Haifa, Israel Duration: Feb 24 2014 → Feb 27 2014

Other

Other	19th International Conference on Intelligent User Interfaces, IUI 2014
Country	Israel
City	Haifa
Period	2/24/14 → 2/27/14

Keywords

Audio
Exploratory interfaces
Mixing
Music

ASJC Scopus subject areas

Software
Human-Computer Interaction

Access to Document

10.1145/2557500.2557530

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Cite this

Cartwright, M., Pardo, B. A., & Reiss, J. D. (2014). Mixploration: Rethinking the audio mixer interface. In IUI 2014 - Proceedings of the 19th International Conference on Intelligent User Interfaces (pp. 365-370) https://doi.org/10.1145/2557500.2557530

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