Haptic Learning of Semaphoric Finger Gestures
summary
Builds three vibrotactile rings for index, middle and ring fingers and compares three learning conditions (visual–visual, visual–haptic, sound–haptic) with 30 participants over two days. Initial recall rates show visual–visual at ~70% and sound–haptic significantly lower, but after under 30 minutes of training and on day two all conditions converge to about 85–90% recall. Conclusion: haptic associative learning works and sustains midterm memory.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 0:24Free Hand Gestures
- 1:24Self Occlusion
- 1:47Current Approaches
- 3:24Questions
- 4:12Objects
- 4:24Gestures
- 4:41Stimulus
- 4:59Visual
- 5:31Design
- 6:11Visual vs Sound
- 6:49Midterm Recall
- 7:13Summary
- 7:46Question
related talks
06mInvestigating the Effect of Sensory Concurrency on Learning Haptic Spatiotemporal Signals
20mDesigning a Willing-to-Use-in-Public Hand Gestural Interaction Technique for Smart Glasses
20mActiVibe: Design and Evaluation of Vibrations for Progress Monitoring
19mDesigning Socially Acceptable Hand-to-Face Input
07mGestuRING: A Web-based Tool for Designing Gesture Input with Rings, Ring-Like, and Ring-Ready ...
12mIt’s skeuomorphin’ time!! The enduring physicality of braille!
52mMultisensory Design: Accessibility as a Creative Practice for Designers
18mHapSense: A Soft Haptic I/O Device with Uninterrupted Dual Functionalities of Force Sensing and ...