VRDC Fall 2017 Schedule Scheduler | Why Virtual Reality and Machine Learning Are Good for Science

VRDC Fall 2017 Session Scheduler

View, browse and sort the ever-growing list of VRDC Fall 2017 sessions by pass type, track, and format. With VRDC Fall 2017 Session Scheduler, you can build your schedule in advance and access it during the show via export or with the Mobile App. Sessions do fill up, so please arrive early to sessions that you would like to attend. Adding a session to your schedule does not guarantee you a seat.

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  • Why Virtual Reality and Machine Learning Are Good for Science

    • Aldis Sipolins  |  Head of Virtual Reality and Game Design, IBM Research
    Location:  Golden Gate 2, Lobby Level, Tower 3
    Format: Lecture
    Track: Innovation
    Pass Type: VRDC Pass - Get your pass now!
    Vault Recording: Video
    Audience Level: All

    Presence in VR is a game-changer for human research. By matching brain activity to in-game events and using machine learning to make sense of it in VR, researchers get a window into natural human cognition. This talk will cover two research projects. The first is called the Neural Signature of Memory, and it uses machine learning to analyze brain activity to predict memory in VR. The second experiment, called 3d-Printed Roomba Basketball and shows how VR enhances performance on real-world tasks. Attendees will be the first in the world to see newly collected research results.

    Takeaway

    This talk covers the basics of machine learning, cognitive neuroscience, and the psychology of presence. Attendees will learn about what VR means for human research, and how game design overlaps with experimental design. Attendees will be the first people in the world to see new research results.

    Intended Audience

    Target audience is everyone. No prerequisite knowledge is necessary to understand the content of this session.