Laguna, Christopher Patrick and Fiebrink, Rebecca. 2014. 'Improving Data-driven Design and Exploration of Digital Musical Instruments'. In: CHI '14 Extended Abstracts on Human Factors in Computing Systems. Toronto, Ontario, Canada. [Conference or Workshop Item]

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Abstract or Description

We present Gesture Mapper, an application for digital musical instrument designers to rapidly prototype mappings from performer gestures to sound synthesis parameters. Prior work [2] has shown that using interactive supervised learning to generate mappings from user-generated examples can be more efficient and effective than users writing mapping functions in code. In this work, we explore new ways to improve on data-driven design of interactive systems, specifically by proposing new mechanisms for rapid exploration and comparison of multiple alternative mappings. We present a conceptual structure for interactive mappings, a basic framework for generating mappings from more diverse types of user-specified constraints than are supported by supervised learning, and the new Gesture Mapper user interface for mapping exploration and comparison.

Item Type:	Conference or Workshop Item (Poster)
Identification Number (DOI):	https://doi.org/10.1145/2559206.2581327
Additional Information:	The work of Chris Laguna was supported in part by the Distributed Research Experiences for Undergraduates (DREU) program, a joint project of the CRA Committee on the Status of Women in Computing Research and the Coalition to Diversify Computing, which is funded in part by the NSF Broadening Participation in Computing program (NSF CNS-0540631).
Keywords:	Design tools, digital musical instruments, user interfaces
Departments, Centres and Research Units:	Computing Computing > Embodied AudioVisual Interaction Group (EAVI)
Dates:	Date Event 26 April 2014 Published
Event Location:	Toronto, Ontario, Canada
Funders:	Funding body Funder ID Grant Number Computing Research Association Committee on the Status of Women in Computing Research and the Coalition to Diversify Computing UNSPECIFIED
Item ID:	17370
Date Deposited:	22 Mar 2016 09:36
Last Modified:	29 Apr 2020 16:16
URI:	https://research.gold.ac.uk/id/eprint/17370

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