Unit:
Department of Informatics and TelecommunicationsΠληροφορική
Author:
Kougioumtzian Lori
Supervisors info:
Δρ. Μαρία Ρούσσου, Επίκουρη Καθηγήτρια Τμήματος Πληροφορικής και Τηλεπικοινωνιών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Δρ. Κατερίνα Ελ Ράχεμπ, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Motion Hollow: A WebVR experience for annotating movement qualities on dance content
Translated title:
Motion Hollow: A WebVR experience for annotating movement qualities on dance content
Summary:
There are a lot of conceptual frameworks derived from the extensive research conducted in the field of movement analysis that are being used in the process of the identification and annotation of qualities in movement. However, these frameworks are not easily comprehensible by people with minimal or no scientific context related to the field, especially when used raw without being molded and expressed in a more user-friendly manner.
In the interest of tackling this problem, this thesis covers the process of developing a web-based crowd-sourcing experience where a set of simple questions are used as a theoretical framework for the annotation of movement qualities in dance moves performed by 3D animated models. This thesis also investigates ways of making the crowdsourcing experience more appealing, in order to encourage the full engagement of the users. Therefore, the MEAN Stack model was chosen along with A-Frame, a web framework for building 3D/AR/VR experiences, for the development of the application.
After developing a first prototype for the experience, a formative evaluation was carried out. 8 people participated in the evaluation suggesting improvements regarding the usability and the content of the experience. Moreover, the participants’ feedback led to the formation of ideas regarding possible future extensions. In conclusion, setting all issues aside, all the participants found the experience very interesting and pleasant. They were able to complete the whole experience without losing interest, a fact which is not frequently the case when it comes to crowdsourcing activities and renders this thesis successful in its goal.
Main subject category:
Technology - Computer science
Keywords:
crowdsourcing, annotation on movement, human-computer interaction, webVR, 3D animation, Laban Movement Analysis
