1015 - Case Study: Creating an Aggressive Behavior De-Escalation VR Program at CHRISTUS Health
One of the most compelling use cases for VR in learning is workplace safety. Learners need a safe environment to learn and practice critical skills, but the training environment also needs to be realistic and enable learners to truly experience the situation physically and emotionally. Traditional learning methods such as role plays, and even sophisticated online simulations, cannot match the power of immersive technology for this need. Non-profit CHRISTUS Health decided to pioneer the use of VR with its program to teach aggressive behavior de-escalation.
In this case study session you'll learn how CHRISTUS Health, in collaboration with SweetRush's SPARK team, developed an innovative, immersive VR workplace safety learning program that helps care providers de-escalate potentially dangerous situations—a first for the organization. You'll discover key considerations that drove design decisions, including the learner audience, maintainability, and business constraints. You'll look at the iterative, sprint-based process that guided development and testing. Along the way, you'll learn about leading-edge VR trends, including facial recognition, voice and tone recognition, and 3D avatar development. Whether you are a senior leader, designer, or developer, you will gain valuable insights as CHRISTUS and SweetRush share their journey from concept to execution.
In this session, you will learn:
- Why VR is a compelling and effective use case for learning critical workplace safety skills
- What key considerations need to be identified and analyzed when designing VR learning solutions
- How to successfully manage a client-vendor partnership and arrive at the best end product
- How to navigate decisions in the face of rapid change in VR technology
- How leading-edge VR technologies such as facial, voice, and tone recognition were utilized to enhance engagement and learning efficacy
Designers, developers, managers, senior leaders
6DOF headsets, facial recognition, voice and tone recognition, 360 video, 3D