Light-Occlusion Text Entry in Mixed Reality.
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| Title: | Light-Occlusion Text Entry in Mixed Reality. |
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| Authors: | Sun, Aoxin (AUTHOR), Wang, Lili (AUTHOR), Leng, JiaYe (AUTHOR), Kei Im, Sio (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Dec2024, Vol. 40 Issue 24, p8607-8622. 16p. |
| Subjects: | Mixed reality, Human-computer interaction, Error rates, Thumb, Keyboarding |
| Abstract: | Text entry is a recurring task in mixed reality (MR) applications, and the ability of eyes-free text entry methods to allow users to enter text without focusing on the input device is ideal and compelling. However, existing eyes-free text entry methods leave much to be desired regarding efficiency and accuracy. In this paper, we propose a new light-occlusion text entry method in MR environment that uses dual thumb typing on a touchscreen. We design a partially visible keyboard as visual feedback to improve user performance. In addition, we optimize the underlying keyboard by collecting eyes-free typing data through a user study. The results show that our method has high typing speed, low error rate, and is very novice-friendly. After a short training period, the average typing speed of the novice group can reach 26.23 WPM (words per minute), while the average typing speed of the potential expert group can reach 30.62 WPM. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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