Navigation System for the Blind: Auditory Display Modes and Guidance
Presence: Teleoperators and Virtual Environments
Augmented reality target finding based on tactile cues
Proceedings of the 2009 international conference on Multimodal interfaces
PocketNavigator: vibro-tactile waypoint navigation for everyday mobile devices
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Recognition of hearing needs from body and eye movements to improve hearing instruments
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Design of a bilateral vibrotactile feedback system for lateralization
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Improving game accessibility with vibrotactile-enhanced hearing instruments
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part I
| Hi-index | 0.00 |
Hearing Instruments (HIs) have emerged as true body area networks, so called HI-BANs. Besides streaming audio data they connect wirelessly to accessories such as remote controls and Bluetooth devices. Multimodal sensor data from a HI-BAN is a way to adapt the HI behavior to the user's current hearing situation. As a potential future HI-BAN component we investigate bilateral vibrotactile feedback to support localization of sound sources. As a foundation for integrating vibrotactile cues we investigate which kind of feedback and vibration patterns are most suitable. We implemented two approaches for encoding lateral target angles: Continuous Guidance Feedback (CGF) and 6 variants with evolving complexity of Quantized Absolute Heading (QAH). In a user study with 16 normal hearing participants (7 m, 9 f, age 23--61) we evaluate lateralization error and user response time. For QAH results show a trade off between the minimal quantization error due to the encoding and the number of user errors due to misinterpretation of presented patterns. Moreover, results show a trade off between response time and minimum lateralization error. Choosing the most suitable bilateral vibrotactile encoding schemes is application-specific: For QAH a minimal average lateralization error of 27° (σ = 22°) was achieved with eight 45°-segments and an average user response time of 1600 ms (σ = 545 ms). A minimal average user response time of 900 ms (σ = 325 ms) was achieved with four 45°-segments and an average lateralization error of 43° (σ = 29°). CGF guides the user within a given tolerance margin to the target at the cost of higher response time. We find that for complex encoding schemes the overall performance is person-specific.