HCI challenges in Dance Education

Raheb, Katerina El; Katifori, Akrivi; Ioannidis, Yannis

doi:10.4108/eai.23-8-2016.151642

Cited by 9 publications

(21 citation statements)

References 7 publications

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“…The human motion, during a dance, often carries emotion and is connected with the whole cognitive-motor and psychological system. It has been investigated through multiple scientific studies, including dance motion generation [21,42], synchronization to music [9,44], emotion recognition and stylization [8], and represents many challenges for learning [35]. Besides the benefit of social dances for health as improving balance and cognition for elderly [26,27,28], its interactive aspect has been touched upon by the HRI domain.…”

Section: Related Workmentioning

confidence: 99%

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Senecal

Nijdam

Aristidou

et al. 2020

Multimed Tools Appl

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Learning couple dance such as salsa is challenging as it requires to understand and assimilate all the dance skills (guidance, rhythm, style) correctly. Salsa is traditionally learned by attending a dancing class with a teacher and practice with a partner, the difficulty to access such classes though, and the variability of dance environment can impact the learning process. Understanding how people learn using a virtual reality platform could bring interesting knowledge in motion analysis and can be the first step toward a complementary learning system at home. In this paper, we propose an interactive learning application in the form of a virtual reality game, that aims to help the user to improve its salsa dancing skills. The application was designed upon previous literature and expert discussion and has different components that simulate salsa dance: A virtual partner with interactive control to dance with, visual and haptic feedback, and a game mechanic with dance tasks. This application is tested on a two-class panel of 20 regular and 20 non-dancers, and their learning is evaluated and analyzed through the extraction of Musical Motion Features and the Laban Motion Analysis system. Both motion analysis frameworks were compared prior and after training and show a convergence of the profile of non-dancer toward the profile of regular dancers, which validates the learning process. The work presented here has profound implications for future studies of motion analysis, couple dance learning, and human-human interaction.

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Section: Related Workmentioning

confidence: 99%

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Senecal

Nijdam

Aristidou

et al. 2020

Multimed Tools Appl

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“…Whereas in performance and dance production, technology is being widely used, it is still absent from the dance studios where dancers rehearse, learn and experiment, according to Molina et al [17]. Designing digital environments to satisfy actual needs of dance practitioners, is a challenge, since there are no mainstream tools or best practices that can guide the development to such experiences [6]. The low affordability and portability of motion capture state-of-the art technologies, in combination with the fact that few dance practitioners have experienced such technologies, makes the elicitation of concrete user requirements and user-centered design of this type of experience a really challenging task.…”

Section: Dance In Digital Environmentsmentioning

confidence: 99%

Choreomorphy

Raheb

Tsampounaris

Katifori

et al. 2018

Proceedings of the 2018 International Conference on Advanced Visual Interfaces

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Choreomorphy is inspired by the Greek words "choros" (dance) and "morphe" (shape). Visual metaphors, such as the notion of transformation, and visual imagery are widely used in various movement and dance practices, education, and artistic creation. Motion capture and comprehensive movement representation technologies, if appropriately employed can become valuable tools in this field. Choreomorphy is a system for a whole-body interactive experience, using Motion Capture and 3D technologies, that allows the users to experiment with different body and movement visualisation in real-time. The system offers a variety of avatars, visualizations of movement and environments which can be easily selected through a simple GUI. The motivation of designing this system is the exploration of different avatars as "digital selves" and the reflection on the impact of seeing one's own body as an avatar that can vary in shape, size, gender and human vs. non-human characteristics, while dancing and improvising. Choreomorphy is interoperable with different motion capture systems, including, but not limited to inertial, optical, and Kinect. The 3D representations and interactions are constantly updated through an explorative codesign process with dance artists and professionals in different sessions and venues.

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“…Hachimura et. al [6] describe a prototype dance training support system (Just Follow Me) with motion capture and mixed reality technologies. The system uses an intuitive "ghost" metaphor and a first-person viewpoint for Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page.…”

Section: Related Workmentioning

confidence: 99%

“…al. [6], introduces a motion analysis and comparison framework that is based on Laban Movement Analysis (LMA), used also in the context of teaching folk dances, and a prototype virtual reality simulator in which users can preview segments of folk dance performed by a 3D avatar and repeat them. Alexiadis et al [3] describe a prototype system that automatically evaluates dance performances against a dance professional performance and provides visual feedback to the performer in a 3D virtual environment.…”

Section: Related Workmentioning

confidence: 99%

“…In fact, they can work as an extension to the body limbs and clearly depict the path of the motion and the virtual shapes that the mover draws in space. This metaphor has been used in other artistic and research installations, also using neural networks [6]. In our interface there an option of adding or removing this effect, as well as controlling some of the properties of the emission effect.…”

Section: Avatar Emits Particles From Its Hands and Feet (Optionally)mentioning

confidence: 99%

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Exploring Visualizations in Real-time Motion Capture for Dance Education

Tsampounaris

Raheb

Katifori

et al. 2016

Proceedings of the 20th Pan-Hellenic Conference on Informatics

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In this paper, we describe an ongoing work towards developing a whole-body interaction interface for exploring different visualizations of movement, using real-time motion capture and 3D models, to apply in dance learning and improvisation within a creative, gamified context. A full inertial motion capture system is used by the performer while a simple user interface provides the option to the user to experiment with different avatars, and visualizations e.g., trace of motions on different parts of the body and to interact with virtual objects. The 3D simulation provides a real-time visual feedback for the movement. The interaction follows the paradigm of moving from mimicking kinetic material into a self-reflection teaching approach. The interactive avatar is the reflection of the performer, but on the same time the avatar depicts a character, a dance partner which can inspire the user who moves to explore different ways of moving. Either within the framework of artistic experimentation and creativity, or in the context of education, the visual metaphors of movement shape and qualities consist a powerful tool and raise many scientific and research questions.

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HCI challenges in Dance Education

Cited by 9 publications

References 7 publications

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Salsa dance learning evaluation and motion analysis in gamified virtual reality environment

Choreomorphy

Exploring Visualizations in Real-time Motion Capture for Dance Education

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