research components wiki - RutgersGRID/DanceAutism GitHub Wiki

Research Components

The Brain Dance Game incorporates a robust research framework designed to evaluate its effectiveness, gather user feedback, and contribute to the broader understanding of movement-based interventions for neurodivergent individuals. This research component is integrated into the project from its inception, with structured data collection and analysis plans.

Participatory Research Approach

The game will be used in IRB-approved research that focuses on a participatory model where users—particularly those with autism spectrum disorders (ASD)—are active contributors to the research process rather than simply subjects.

Research Ethics Framework

  • IRB approval for all human subjects research
  • Informed consent procedures appropriate for diverse ages and abilities
  • Privacy protection for all participant data
  • Transparent communication about research objectives
  • Appropriate accommodations for neurodivergent participants

Participant Engagement

  • Neurodivergent consultants involved throughout development
  • Feedback sessions designed to accommodate sensory and communication needs
  • Multiple feedback channels (verbal, written, visual)
  • Option to participate in research separate from game usage
  • Recognition of participant contributions to development

User Impact:

  • Alex: Opportunity to contribute expertise from lived experience
  • Jamie: Age-appropriate involvement in feedback process
  • Maya: Validation of personal experience as valuable data
  • Dr. Taylor: Professional perspective incorporated in research design

Data Collection Goals

Physical Activity Outcomes

  • Frequency and duration of gameplay sessions
  • Progression through movement complexity levels
  • Translation of game movements to daily activities
  • Comparative analysis with other physical interventions

Measurement Approaches:

  • In-game tracking of session metrics
  • Pre/post assessments of physical capabilities
  • Parent/caregiver observations of physical activity
  • Professional assessment where available

Movement Pattern Development

  • Improvement in specific movement qualities over time
  • Development of cross-lateral coordination
  • Enhancement of balance and spatial awareness
  • Integration of brain hemispheres through movement

Measurement Approaches:

  • Automated movement analysis through game software
  • Video recording analysis (with consent)
  • Standardized assessment tools for motor development
  • Professional evaluation in therapeutic contexts

Engagement and Motivation

  • Session frequency and duration metrics
  • Pattern of component usage
  • Achievement completion rates
  • User-reported enjoyment and interest

Measurement Approaches:

  • Automated tracking of engagement metrics
  • User surveys and feedback forms
  • Parent/caregiver observations
  • Comparative analysis with other intervention approaches

Accessibility and Usability

  • Success rates across different ability levels
  • Effectiveness of customization options
  • Barriers encountered during gameplay