Abstract
A character input method optimized for smart glasses is presented. The user grabs the input device with one hand and taps or strokes with the thumb. The entered text is displayed on the smart glass. A dynamic input guide is also provided to help users enter characters. The feature of this method is that the user can enter characters without looking at the fingertip. This allows the user to enter text while paying attention to the surroundings. Characters are selected by the movement of the thumb, so when a user enters text on a crowded street, people around him/her will not notice. Of course, the entered text will not be peeped.
Japanese hiragana and alphanumeric characters can be entered in each mode. One character is entered in two steps. In the first step, a group of 5 characters is selected by slide-in. This is a stroke from outside to inside the input area. In the second step, one character in the group is selected by a tap or a stroke.
In experiments, the average input speed for beginners was 21.4 [CPM] after using 15.5 min. The error rate was about 6%, but many misoperations occurred. These misoperations were mainly caused by determining the position of the fingertip by the feel of the touch. To reduce them, we shown an alternative to slide-in strokes. In addition, we have presented how to apply the proposed method to European languages.
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References
Akita, K., Tanaka, T., Sagawa, Y.: SliT: character input system using slide-in and tap for smartwatches. In: Kurosu, M. (ed.) HCI 2018. LNCS, vol. 10903, pp. 3–16. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91250-9_1
Alexa Voice Service Overview (v20160207). https://developer.amazon.com/docs/alexa-voice-service/api-overview.html. Accessed 16 Dec 2019
Use Siri on all your Apple devices. https://support.apple.com/en-us/HT204389. Accessed 16 Dec 2019
Google Assistant is better than Alexa or Siri. https://www.cnbc.com/2019/06/19/google-assistant-beats-alexa-and-siri-at-recognizing-medications.html. Accessed 16 Dec 2019
Fujitsu Develops Glove-Style Wearable Device. http://www.fujitsu.com/global/about/resources/news/press-releases/2014/0218–01.html. Accessed 16 Dec 2019
Ring-Type Wearable Device Enables Users to Write in the Air with Finger. https://journal.jp.fujitsu.com/en/2015/02/10/01/. Accessed 16 Dec 2019
Ring Zero. https://logbar.jp/en/index.html. Accessed 16 Dec 2019
Grubert, J., Witzani, L., Ofek, E., Pahud, M., Kranz, M., Kristensson, P.O.: Text entry in immersive head-mounted display-based virtual reality using standard keyboards. In: Proceedings of 2018 IEEE Conference on Virtual Reality and 3D User Interfaces, VR, pp. 159–166 (2018)
Boletsis, C., Kongsvik, S.: Text input in virtual reality: a preliminary evaluation of the drum-like vr keyboard. Technologies 7(2), 1–31 (2019)
Yu, C., Gu, Y., Yang, Z., Yi, X., Luo, H., Shi, Y.: Tap, dwell or gesture?: Exploring head-based text entry techniques for HMDs. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 4479–4488 (2017)
Haier Asu Smartwatch. https://www.digitaltrends.com/smartwatch-reviews/haier-asu-review/. Accessed 18 Dec 2019
NEC develops ARmKeypad Air, a contact-free virtual keyboard for a user’s arm. https://www.nec.com/en/press/201607/global_20160713_01.html. Accessed 18 Dec 2019
Wong, P., Zhu, K., Fu, H.: FingerT9: leveraging thumb- to-finger interaction for same-side-hand text entry on smartwatches. In: Proceedings of the Conference on Human Factors in Computing Systems, 2018 CHI, p. 178 (2017)
Whitmier, E., et al.: DigiTouch: reconfigurable thumb-to-finger input and text entry on head- mounted displays. Proc. ACM Interact. Mob. Wearable Ubiquit. Technol. 1(3), 1–21 (2017)
Zheer, X., et al.: TipText: eyes-free text entry on a fingertip keyboard. In: Proceedings of the 32nd ACM Symposium on User Interface Software and Technology, pp. 883–899 (2019)
TAP STRAP 2. http://www.tapwithus.com. Accessed 18 Dec 2018
Sun, K., Wang, Y., Yu, C., Yan, Y., Wen, H., Shi, Y.: Float: one-handed and touch-free target selection on smartwatches. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 692–704 (2017)
Gong, J., et al..: WristWhirl: one-handed continuous smartwatch input using wrist gesture. In: Proceedings of the 29th Annual Symposium on User Interface Software and Technology, pp. 861–872 (2016)
Gong, J. et al.: WrisText: one-handed text entry on smartwatch using wrist gestures. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (2018). Paper No. 181
The word list of the Balanced Corpus of Contemporary Written Japanese of the National Institute for Japanese Language and Linguistics. http://pj.ninjal.ac.jp/corpus_center/bccwj/en/freq-list.html. Accessed 30 Dec 2019
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Tanaka, T., Shibata, Y., Sagawa, Y. (2020). One-Handed Character Input Method for Smart Glasses. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information. Designing Information. HCII 2020. Lecture Notes in Computer Science(), vol 12184. Springer, Cham. https://doi.org/10.1007/978-3-030-50020-7_28
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DOI: https://doi.org/10.1007/978-3-030-50020-7_28
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