Designing a multimedia interactive to support shared learning

















- Slides: 17

Designing a multimedia interactive to support shared learning experiences Steve Di. Paola & Caitlin Akai Simon Fraser University Siggraph Boston 2006 Educator’s Workshop 8/2/06

Outline • Technology in informal learning spaces • Design issues for multimedia interactives • Introduction to the Virtual Beluga project • Technical description of the simulation • Educational content • Interaction design 8/2/06 2

Technology in informal learning spaces • Informal learning spaces like museums, sciences centres and aquaria are increasingly incorporating technology into their exhibits • These spaces contain many design constraints that can limit the potential of technology • Appropriate design of multimedia exhibits can ensure technology enhances educational content and visitor experience 8/2/06 3

Design issues for multimedia interactives • Need for robustness • Limited contact time • Exhibits must work without supervision • High traffic/use • Visitors travel in groups • Need to generate repeat visits • Educational content should be engaging and accessible 8/2/06 4

Virtual Beluga Project • In collaboration with Vancouver Aquarium and Bill Kraus from Digital Biology • Highly realistic dynamic virtual beluga simulation • Interaction goal was to create a user-centric, shared, collaborative, and reflective learning space • Important to encourage deeper interaction with the content than what is available through traditional wall signage or video 8/2/06 5

Overview of v. Beluga • Virtual belugas are shown in a wild pod context • Incorporates research on beluga behavior and vocalization conducted at aquarium • Simulation is based on artificial intelligence architecture so belugas can learn and alter their behavior based on changes in their environment • Physically-based system allows for natural whale locomotion and realistic water • Realistic graphics achieved through the use of actuators (virtual bones and muscles) 8/2/06 6

Simulation System • Variable content is supported - individual organisms can grow and change over time, new organisms can be added/removed • Easy to update to reflect changes in current scientific thinking • The non-deterministic nature of the simulations means that no two simulations are alike • The system is fully scalable - the number and complexity of organisms is limited only by the speed and memory of the computer on which it runs • Behavioral system consists of two layers: – A low level navigational system – A high level action selection system 8/2/06 7

Adaptive behavior system Advanced Layer: Action Selection - Suite of behaviors (action selection) - Internal state - Memory of past events Primitive Layer: Navigation - Navigation and obstacles - Neural network bridging sensors and actuators 8/2/06 8

` 8/2/06 9

Educational messages • Data from researchers, aquarium staff and visitors was incorporated into the interactive • Key educational messages: – Belugas live in an acoustic world – Human activities affect the way belugas use sound to navigate and communicate – Our knowledge of wild beluga behavior is very limited 8/2/06 10

8/2/06 11

Interaction Design Goals • To allow visitors to engage in interactive ‘what-if’ scenarios • Focus on collaboration - especially between adult & children • Technology removed from direct visitor contact • Visitors should not control ‘wild’ belugas • Solution: Camera tracked tabletop • Flexibility 8/2/06 12

Designing for flexibility • Modularity • Open-ended scenarios • Layers • Scalability 8/2/06 13

Flexibility of use • General gallery • Summer camp • Beluga encounters • Corporate events 8/2/06 14

Conclusion • Effective design of multimedia interactives can overcome some of the constraints associated with public informal learning spaces • Highly realistic simulations can provide a novel and engaging format for presenting educational content • Dynamic open-ended scenarios used to encourage collaboration and interaction among a range of visitors 8/2/06 15

Our competition 8/2/06 16

Acknowledgments • Steve Di. Paola • Bill Kraus of Digital Biology • Vancouver Aquarium • Valerie Vergara - Ph. D student and aquarium researcher • For more information see: • http: //ivizlab. sfu. ca/research 8/2/06 17