ACM MobileHCI 2016: International Conference on Human-Computer Interaction with Mobile Devices and Services
Meng-Ju Hsieh, Rong-Hao Liang, Bing-Yu Chen
National Taiwan University
This paper investigates the feasibility of using a nail-mounted array of tactors, NailTactors, as an eyes-free output device. By rim-attached eccentric-rotating-mass (ERM) vibrators to artificial nails, miniature high-resolution tactile displays were realized as an eyes-free output device. To understand how to deliver rich signals to users for valid signal perception, three user studies were conducted. The results suggest that users can not only recognized absolute and relative directional cues, but also recognized numerical characters in EdgeWrite format with an overall 89% recognition rate. Experiments also identified the optimal placement of ERM actuators for maximizing information transfer.
always-available output, nail-mounted device, tactor array
Meng-Ju Hsieh, Rong-Hao Liang, and Bing-Yu Chen. 2016. NailTactors: eyes-free spatial output using a nail-mounted tactor array. In <i>Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services</i> (<i>MobileHCI '16</i>). Association for Computing Machinery, New York, NY, USA, 29–34. DOI:https://doi.org/10.1145/2935334.2935358
@inproceedings{10.1145/2935334.2935358,
author = {Hsieh, Meng-Ju and Liang, Rong-Hao and Chen, Bing-Yu},
title = {NailTactors: Eyes-Free Spatial Output Using a Nail-Mounted Tactor Array},
year = {2016},
isbn = {9781450344081},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2935334.2935358},
doi = {10.1145/2935334.2935358},
abstract = {This paper investigates the feasibility of using a nail-mounted array of tactors, NailTactors, as an eyes-free output device. By rim-attached eccentric-rotating-mass (ERM) vibrators to artificial nails, miniature high-resolution tactile displays were realized as an eyes-free output device. To understand how to deliver rich signals to users for valid signal perception, three user studies were conducted. The results suggest that users can not only recognized absolute and relative directional cues, but also recognized numerical characters in EdgeWrite format with an overall 89% recognition rate. Experiments also identified the optimal placement of ERM actuators for maximizing information transfer.},
booktitle = {Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services},
pages = {29–34},
numpages = {6},
keywords = {always-available output, nail-mounted device, tactor array},
location = {Florence, Italy},
series = {MobileHCI '16}
}