GravitySpot: Guiding Users in Front of Public Displays Using On-Screen Visual Cues
summary
System implements visual cues (color, shape, motion) applied to screen content and uses Kinect-based 2D tracking to pull people to arbitrary “sweet spots.” Lab study (n=29) compares cues and mapping functions (linear, quick start mapping, slow start mapping, escort) and shows a clear speed–accuracy tradeoff: color/motion are faster, shape/pixelation (pixelation, brightness cues) are more accurate. Prototype deployed 3 months in a university lobby (≈230 users, ≈700 games) and reliably achieves roughly 30×30 cm positioning suitable for eye tracking.
AI-written summary · about
chapters (10)
- 0:00Introduction to GravitySpot
- 1:49Why guide users in front of displays
- 3:56Audience funnel model
- 5:18Visual cues for guidance
- 7:03Mapping functions for cues
- 8:27Prototype and first study
- 10:55Real-world deployment results
- 12:43Limitations and future work
- 14:35Summary and conclusions
- 15:39Q&A session
related talks
18mHidden in Plain Sight: an Exploration of a Visual Language for Near-Eye Out-of-Focus Displays in ...
20mPeripheral vision: a new killer app for smart glasses
05mLightGuide: Directing Visually Impaired People along a Path Using Light Cues
21mOff-Limits: Interacting Beyond the Boundaries of Large Displays
12mGlowworms and Fireflies: Ambient Light on Large Interactive Surfaces
15mCan Eye Help You?: Effects of Visualizing Eye Fixations on Remote Collaboration Scenarios for ...
55mConfirming Vision
45mMobility and Orientation: Experimenting with Inclusive Localization Systems
