By the same authors

Towards bio-responsive control for music

Research output: Contribution to conferencePaper

Standard

Towards bio-responsive control for music. / Williams, Duncan Alastair Hyatt; Murphy, Damian Thomas; Fazenda, Bruno.

2017. Paper presented at DMRN+12 Digital Music Research Network , London, United Kingdom.

Research output: Contribution to conferencePaper

Harvard

Williams, DAH, Murphy, DT & Fazenda, B 2017, 'Towards bio-responsive control for music' Paper presented at DMRN+12 Digital Music Research Network , London, United Kingdom, 19/12/17 - 19/12/17, .

APA

Williams, D. A. H., Murphy, D. T., & Fazenda, B. (2017). Towards bio-responsive control for music. Paper presented at DMRN+12 Digital Music Research Network , London, United Kingdom.

Vancouver

Williams DAH, Murphy DT, Fazenda B. Towards bio-responsive control for music. 2017. Paper presented at DMRN+12 Digital Music Research Network , London, United Kingdom.

Author

Williams, Duncan Alastair Hyatt ; Murphy, Damian Thomas ; Fazenda, Bruno. / Towards bio-responsive control for music. Paper presented at DMRN+12 Digital Music Research Network , London, United Kingdom.

Bibtex - Download

@conference{fb100aa28bf746af8a7fa28579bd327f,
title = "Towards bio-responsive control for music",
abstract = "Music and audio applications are well suited to tactile control. In sound and music computing there can be a disconnect between design of human-computer interfacing and application congruent design. A categorical approach is proposed, considering active and passive control methods. This work has implications for the design of adaptive or ‘on-the-fly’ recalibration of music and sound in various contexts, including health and wellbeing, video game soundtracking, and perceptual evaluation of auditory stimulus (e.g., noise annoyance, concentration and attention, relaxation and mindfulness). Due to a lack of agreement on suitable evaluation strategies, a multi-criteria decision aid strategy adopted from the auditory display community is suggested.",
keywords = "Digital Music, Biosignals, Audio Engineering",
author = "Williams, {Duncan Alastair Hyatt} and Murphy, {Damian Thomas} and Bruno Fazenda",
year = "2017",
month = "12",
day = "19",
language = "English",
note = "DMRN+12 Digital Music Research Network : One Day Workshop 2017, DMRN+12 ; Conference date: 19-12-2017 Through 19-12-2017",
url = "http://www.qmul.ac.uk/dmrn/dmrn12/",

}

RIS (suitable for import to EndNote) - Download

TY - CONF

T1 - Towards bio-responsive control for music

AU - Williams, Duncan Alastair Hyatt

AU - Murphy, Damian Thomas

AU - Fazenda, Bruno

PY - 2017/12/19

Y1 - 2017/12/19

N2 - Music and audio applications are well suited to tactile control. In sound and music computing there can be a disconnect between design of human-computer interfacing and application congruent design. A categorical approach is proposed, considering active and passive control methods. This work has implications for the design of adaptive or ‘on-the-fly’ recalibration of music and sound in various contexts, including health and wellbeing, video game soundtracking, and perceptual evaluation of auditory stimulus (e.g., noise annoyance, concentration and attention, relaxation and mindfulness). Due to a lack of agreement on suitable evaluation strategies, a multi-criteria decision aid strategy adopted from the auditory display community is suggested.

AB - Music and audio applications are well suited to tactile control. In sound and music computing there can be a disconnect between design of human-computer interfacing and application congruent design. A categorical approach is proposed, considering active and passive control methods. This work has implications for the design of adaptive or ‘on-the-fly’ recalibration of music and sound in various contexts, including health and wellbeing, video game soundtracking, and perceptual evaluation of auditory stimulus (e.g., noise annoyance, concentration and attention, relaxation and mindfulness). Due to a lack of agreement on suitable evaluation strategies, a multi-criteria decision aid strategy adopted from the auditory display community is suggested.

KW - Digital Music

KW - Biosignals

KW - Audio Engineering

M3 - Paper

ER -