Networking at events often involves missed connections because we lack immediate digital context about people around us. While name tags provide basic information, they don't offer direct digital connections, and manually searching for someone's social media is impractical. This creates friction in professional and social networking scenarios where quick, meaningful connections matter.
One approach could involve using augmented reality to display Twitter handles and profile pictures above people's heads in real-time through a smartphone camera. The system might work by:
For users, this could create a more seamless way to connect digitally with people they meet physically. Event organizers might benefit from enhanced attendee experiences, while Twitter could see increased engagement. However, this would likely require strict opt-in mechanisms to address privacy concerns, with features that allow users to control their visibility.
A potential implementation could start with a basic version where users manually tag people they recognize, displaying these tags in AR. This would test core assumptions about user willingness to participate. Subsequent versions could introduce:
Early versions might focus on controlled environments like professional conferences before expanding to more public settings. The technical challenges would include ensuring accurate matching in varied lighting conditions and crowd densities, while maintaining compliance with privacy regulations.
Current alternatives like LinkedIn Nearby use Bluetooth for professional networking, while event apps like Bizzabo offer directory functions. This approach would differ by combining AR visualization with social media connectivity, creating a more immediate and visual networking tool. The focus on Twitter integration could leverage the platform's public nature while addressing specific use cases where quick digital connections are valuable.
While this concept presents technical and privacy considerations, it attempts to solve a clear networking friction point in professional and social settings. The value would depend on user adoption and the ability to balance functionality with privacy protections.
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