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A spiral model of musical decision-making

Overview of attention for article published in Frontiers in Psychology, April 2014
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
A spiral model of musical decision-making
Published in
Frontiers in Psychology, April 2014
DOI 10.3389/fpsyg.2014.00320
Pubmed ID
Authors

Daniel Bangert, Emery Schubert, Dorottya Fabian

Abstract

This paper describes a model of how musicians make decisions about performing notated music. The model builds on psychological theories of decision-making and was developed from empirical studies of Western art music performance that aimed to identify intuitive and deliberate processes of decision-making, a distinction consistent with dual-process theories of cognition. The model proposes that the proportion of intuitive (Type 1) and deliberate (Type 2) decision-making processes changes with increasing expertise and conceptualizes this change as movement along a continually narrowing upward spiral where the primary axis signifies principal decision-making type and the vertical axis marks level of expertise. The model is intended to have implications for the development of expertise as described in two main phases. The first is movement from a primarily intuitive approach in the early stages of learning toward greater deliberation as analytical techniques are applied during practice. The second phase occurs as deliberate decisions gradually become automatic (procedural), increasing the role of intuitive processes. As a performer examines more issues or reconsiders decisions, the spiral motion toward the deliberate side and back to the intuitive is repeated indefinitely. With increasing expertise, the spiral tightens to signify greater control over decision type selection. The model draws on existing theories, particularly Evans' (2011) Intervention Model of dual-process theories, Cognitive Continuum Theory Hammond et al. (1987), Hammond (2007), Baylor's (2001) U-shaped model for the development of intuition by level of expertise. By theorizing how musical decision-making operates over time and with increasing expertise, this model could be used as a framework for future research in music performance studies and performance science more generally.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Netherlands 1 1%
Australia 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Ph. D. Student 9 13%
Researcher 6 9%
Student > Bachelor 6 9%
Student > Doctoral Student 5 7%
Other 15 22%
Unknown 16 24%
Readers by discipline Count As %
Arts and Humanities 13 19%
Psychology 12 18%
Business, Management and Accounting 5 7%
Social Sciences 5 7%
Medicine and Dentistry 3 4%
Other 7 10%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 August 2014.
All research outputs
#6,770,340
of 22,754,104 outputs
Outputs from Frontiers in Psychology
#9,685
of 29,650 outputs
Outputs of similar age
#65,171
of 226,936 outputs
Outputs of similar age from Frontiers in Psychology
#132
of 307 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 29,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 226,936 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.