DepthText: Leveraging head movements towards the depth dimension for hands-free text entry in mobile virtual reality systems

Xueshi Lu, Difeng Yu, Hai Ning Liang, Xiyu Feng, Wenge Xu

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

16 Citations (Scopus)

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.

Original languageEnglish
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1060-1061
Number of pages2
ISBN (Electronic)9781728113777
DOIs
Publication statusPublished - Mar 2019
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: 23 Mar 201927 Mar 2019

Publication series

Name26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Country/TerritoryJapan
CityOsaka
Period23/03/1927/03/19

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