WhoLoDancE: Deliverable 7.3 - Personalisation evaluation report
WhoLoDancE developed a variety of applications with different technical needs and performances. To provide users with a unique solution leveraging all available functionalities, the Consortium implemented a three-layered comprehensive framework, including low-end, web-based applications as well as high-end, interactive applications taking the Unity 3D™ game engine as its core base, to cover all current application scenarios and possibly expand them in the future.
With the project termination approaching, the WhoLoDancE Consortium deemed necessary to develop a unified solution where to integrate all digital resources under implementation, to ultimately provide final users with a comprehensive resource where to search for dance sequences, segment and annotate movements, assemble new choreographies, perform avatar-based analysis of users’ movements: the WhoLoDancE Framework. This resource is designed to serve all envisaged learning scenarios and dance practices, as well as be further expandable to additional scenarios in the future, by covering different state-of the- art technologies, easily expandable and re-usable in different contexts. This deliverable covers the final evaluative work of the Consortium carried out in several European metropoles throughout the last two years. What follows is an outline of the several tools developed, the events where they were disseminated and evaluated, and a discussion of the findings and a conclusion.
In summary, we found that the tools were extremely useful to our key stakeholders and that the WhoLoDancE Framework opened up thinking for researchers, artists from other disciplines and areas of study, as well as pushed choreographic and educational scenarios further. The Consortium set out to explore proof of concepts for specific tools and ideas and ended up producing more tools and platforms than was intended. Dance studies, machine learning, digital technologists and those interested in cultural heritage preservation and in interdisciplinary studies, were drawn to the work and keen to follow the future of the WhoLoDancE tools.