Nicolas E. Gold

Publications28
h-index7
Citations277
Highly Influential Citations9
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Musically Informed Sonification for Chronic Pain Rehabilitation: Facilitating Progress & Avoiding Over-Doing
TLDR
This work investigates how musically-informed movement sonification can be used as an implicit mechanism to both avoid overdoing and facilitate progress during stretching exercises, and discusses how these findings should generalize to the CP population.
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European Society for the Cognitive Sciences of Music (ESCOM)
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The Form of Performance: Analyzing Pattern Distribution in Select Recordings of Chopin's Mazurka Op. 24 No. 2
TLDR
The aim of the current study is to analyze the timing and dynamic patterns of a large sample of performances in order to explore the musical reasons for both the occurrence of such patterns and the differences in their location and characteristics.
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Motive, gesture and the analysis of performance
TLDR
This chapter regards the gestures created in and through performance as potentially having motivic functions within the performed music, and reverses a common tendency to assign the status of musical gestures to conventional musical motives.
Musical Expectancy in Squat Sonification for People Who Struggle with Physical Activity
TLDR
This paper aims to combine the use of auditory display and principles from music theory and cognition to achieve a realtime sonification during the performance of a challenging exercise which provides in themoment motivation and reward.
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Musically Informed Sonification for Self-Directed Chronic Pain Physical Rehabilitation
TLDR
A sonification methodology which makes use of characteristics and structural elements of Western tonal music to highlight and mark aspects of movement and breathing that are important to build confidence in peoples body capability in a way that is easy to attend to and devoid of pain is introduced.
Synaesthetic Traces: Digital Acquisition of Musical Shapes
Big Data for Musicology
TLDR
It is argued that the use of large data collections will enable a better understanding of music performance and music in general, which will benefit areas such as music search and recommendation, music archiving and indexing, music production and education.
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The Digital Music Lab: A Big Data Infrastructure for Digital Musicology
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Movement sonification expectancy model: leveraging musical expectancy theory to create movement-altering sonifications
TLDR
This paper presents a Movement Expectation Sonification Model, based on theories of motor-feedback and expectation, to explore how musical sonification can impact the way people perceive their movement, and presents a study that validates the predictions of this model.
View on Springer
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