VRDC Fall 2017 Schedule Viewer | 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. Once the session dates and times are announced, 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:  
    Format: Lecture
    Track: Innovation
    Pass Type: VRDC Pass - Get your pass now!
    Vault Recording: TBD
    Audience Level: All

    Presence lets researchers study how people naturally think and act outside the lab, and this is a goldmine for human research. This talk gives a first look at cutting-edge research using machine learning to enhance memory in VR. Subjects play a color memory game while sensors (brain activity, eye-tracking, heartrate) record data, and personalized machine learning models use this sensor data to predict memory. A follow-up study seeks to enhance memory in real-time and uncover the neural signature of presence. This talk covers the basics of machine learning, cognitive neuroscience, and the psychology of presence as they apply to VR.

    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.