Dancing Salsa with Machines-Filling the Gap of Dancing Learning Solutions.

Area of Science:

• Human-Computer Interaction
• Kinesiology
• Digital Health

Background:

• Dancing improves mood and well-being but requires coordination and rhythm.
• Learning dance can be challenging due to the complexity of movement and timing.
• Existing tools for dance practice are limited, especially for beginners.

Purpose of the Study:

• To introduce the Dancing Coach (DC), a novel system for practicing dance steps.
• To evaluate the effectiveness and user experience of the DC for learning basic salsa.
• To explore the potential for expanding the DC to support various dance styles.

Main Methods:

• Development of the Dancing Coach (DC) system, a generic platform for dance practice.
• Implementation of basic salsa dancing steps within the DC system.
• User evaluation involving 25 participants conducting practice sessions with the DC.

Main Results:

• Participants successfully learned basic salsa steps and improved their ability to move to the beat.
• Users reported enhanced body coordination and a fun learning experience.
• Feedback provided insights for future improvements and expansion of the DC system.

Conclusions:

• The Dancing Coach (DC) system is an effective tool for learning fundamental dance skills, including salsa.
• The system offers an engaging and accessible method for dance practice, promoting coordination and musicality.
• The DC's modular design supports future development for a wider range of dance styles.