@inproceedings{8de48bf45285471e91aed6a09ac8186e,
title = "DepthText: Leveraging head movements towards the depth dimension for hands-free text entry in mobile virtual reality systems",
abstract = "Text entry is a common activity in virtual reality (VR) systems. However, there is a limited number of approaches available for mobile VR systems, where it might be inconvenient for users to carry an input device. We propose a novel hands-free text entry technique we call DepthText which leverages the acceleration sensing abilities of built-in IMU sensors of mobile VR systems. Users are able to enter text by moving their head forward. The results of a 5-day study indicate that users can achieve an average of 10.76 words per minute (wpm) on the last day with low errors. This performance is comparable to the dwell-based technique which is the most common way of entering text that is hands-free. One advantage of DepthText over the dwell-based technique is that users can have more control of the pace of selecting characters, rather than being pushed by a pre-set dwell time.",
author = "Xueshi Lu and Difeng Yu and Liang, \{Hai Ning\} and Xiyu Feng and Wenge Xu",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 ; Conference date: 23-03-2019 Through 27-03-2019",
year = "2019",
month = mar,
doi = "10.1109/VR.2019.8797901",
language = "English",
series = "26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1060--1061",
booktitle = "26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings",
}