An Empirical Evaluation On Vibrotactile Feedback For Wristband System
This addresses the need for more effective nonvisual interaction in wearable wrist-worn devices, though it is incremental as it builds on existing vibrotactile feedback methods.
The paper tackled the problem of simple vibrotactile feedback in wrist-worn devices by proposing a wristband system with four vibrating motors to provide multiple vibration patterns for transmitting multi-semantic information in eyes-free scenarios, achieving approximately 90% accuracy in user pattern recognition in lab and outdoor experiments.
With the rapid development of mobile computing, wearable wrist-worn is becoming more and more popular. But the current vibrotactile feedback patterns of most wrist-worn devices are too simple to enable effective interaction in nonvisual scenarios. In this paper, we propose the wristband system with four vibrating motors placed in different positions in the wristband, providing multiple vibration patterns to transmit multi-semantic information for users in eyes-free scenarios. However, we just applied five vibrotactile patterns in experiments (positional up and down, horizontal diagonal, clockwise circular, and total vibration) after contrastive analyzing nine patterns in a pilot experiment. The two experiments with the same 12 participants perform the same experimental process in lab and outdoors. According to the experimental results, users can effectively distinguish the five patterns both in lab and outside, with approximately 90% accuracy (except clockwise circular vibration of outside experiment), proving these five vibration patterns can be used to output multi-semantic information. The system can be applied to eyes-free interaction scenarios for wrist-worn devices.