Framing Visual Musicology through Methodology Transfer
Abstract
In this position paper, we frame the field of Visual Musicology by providing an overview of well-established musicological sub-domains and their corresponding analytic and visualization tasks. To foster collaborative, interdisciplinary research, we discuss relevant data and domain characteristics. We give a description of the problem space, as well as the design space of musicology and discuss how existing problem-design mappings or solutions from other fields can be transferred to musicology. We argue that, through methodology transfer, established methods can be exploited to solve current musicological problems and show exemplary mappings from analytics fields related to text, geospatial, time-series, and other high-dimensional data to musicology. Finally, we point out open challenges, discuss research gaps, and highlight future research opportunities.
- Publication:
-
arXiv e-prints
- Pub Date:
- August 2019
- DOI:
- 10.48550/arXiv.1908.10411
- arXiv:
- arXiv:1908.10411
- Bibcode:
- 2019arXiv190810411M
- Keywords:
-
- Computer Science - Human-Computer Interaction;
- J.5;
- H.1.1
- E-Print:
- 5 pages, position paper, 3 figures, 4th Workshop on Visualization for the Digital Humanities, VIS4DH, IEEE VIS 2019