Partner: Victoria & Albert Museum
Base: Interdisciplinary Centre for Computer Music Research (ICCMR), Plymouth University
Mentors: Professor James Daybell; Professor Eduardo Miranda
The project will address the lack of scientifically produced data on the value of heritage broadly speaking in terms of understanding the physiological or emotional response towards heritage as it is situated and presented in museums. It, therefore, has wide potential application across the museum and heritage sector. This project aims to enhance and build upon these traditional modes of analysing the impact of and reactions to heritage by bringing together cutting edge technologies measuring bio-signals; that is, actively or passively experienced bio-physiological responses (from heart rate, to neurophysiological cues) to a new domain to which it has not yet been applied: Heritage.
This project brings together institutional expertise in computer music, bio-computation, and material culture, to offer a new approach to curation, and expand understandings of public engagement through analysis of affective states. Building upon an established network of researchers with established skill-sets in material culture and bio-physiological indicators of emotion and musical computing, this NPIF Creative Economy Engagement Fellowship will support an emerging project exploring the application of biomedical techniques pioneered in the field of computer music to measure emotional response to different scores and musical forms to the realm of the museum. Intended as a way of enhancing the design of exhibitions and curatorial experiences/practices, with the aim of maximising public engagement, this project fuses artistic, creative, heritage and design skills with computing and coding skills. Centred on the galleries and collections of the V&A museum in London, it will investigate how quantitative and qualitative approaches to acquisition and analysis of data in connection with participants’ experience of museum collections can be combined to form a more comprehensive, scientifically underpinned understanding of curatorial practices.
We are looking for candidates with skills and experience in one of the two following areas; bio-computation and biophysical response data collection and analysis, or digital curation and material culture practices.
Contact: Dr Lee Miller – email@example.com