From seen to unseen : designing keyboard-less interfaces for text entry on constrained screen real estate of Augmented Reality headsets |
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Author: | Lee, Lik Hang1,2; Braud, Tristan1; Lam, Kit Yung1; |
Organizations: |
1Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong 2Center for Ubiquitous Computing, The University of Oulu, Finland 3Department of Computer Science, The University of Helsinki, Finland |
Format: | article |
Version: | accepted version |
Access: | embargoed |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020040310252 |
Language: | English |
Published: |
Elsevier,
2020
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Publish Date: | 2022-03-19 |
Description: |
AbstractText input is a very challenging task in the constrained screen real-estate of Augmented Reality headsets. Typical keyboards spread over multiple lines and occupy a significant portion of the screen. In this article, we explore the feasibility of single-line text entry systems for smartglasses. We first design FITE, a dynamic keyboard where the characters are positioned depending on their probability within the current input. However, the dynamic layout leads to mediocre text input and low accuracy. We then introduce HIBEY, a fixed 1-line solution that further decreases the screen real-estate usage by hiding the layout. Despite its hidden layout, HIBEY surprisingly performs much better than FITE, and achieves a mean text entry rate of 9.95 words per minute (WPM) with 96.06% accuracy, which is comparable to other state-of-the-art approaches. After 8 days, participants achieve an average of 13.19 WPM. In addition, HIBEY only occupies 13.14% of the screen real estate at the edge region, which is 62.80% smaller than the default keyboard layout on Microsoft Hololens. see all
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Series: |
Pervasive and mobile computing |
ISSN: | 1574-1192 |
ISSN-E: | 1873-1589 |
ISSN-L: | 1574-1192 |
Volume: | 64 |
Article number: | 101148 |
DOI: | 10.1016/j.pmcj.2020.101148 |
OADOI: | https://oadoi.org/10.1016/j.pmcj.2020.101148 |
Type of Publication: |
B1 Journal article |
Field of Science: |
113 Computer and information sciences |
Subjects: | |
Funding: |
This research has been supported in part by project 16214817 from the Research Grants Council of Hong Kong, Academy of Finland 6Genesis Flagship [grant number: 318927], and the 5GEAR project from the Academy of Finland ICT 2023 programme. |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
© 2020 Elsevier B.V. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |