Abstract
We have developed a way for users to enter characters with one hand without looking at their fingers. The user grabs the input device with one hand and taps or strokes with the thumb. The device is covered with a thin plate with holes. The plate limits the area that can be touched, and the boundaries of the holes allow the user to recognize the position of the finger by the tactile sensation of the finger. The text entered by the user is displayed on the smart glasses. Guide images that assist the user’s input are also displayed here. This guide shows the status of the input operation and what the user can do next.
Enter one character in two steps. First, the stroke selects a group of characters. Then flick or tap to select one letter from the group. Ten groups are defined that can contain up to 5 characters. Therefore, up 50 characters can be assigned. This number is sufficient to allocate Japanese unvoiced hiragana. However, voiced, semi-voiced, and lowercase hiragana cannot be covered. These characters can be entered after tapping the button to change the selected group to that group.
In the beginners experiment, the average input speed after inputting 50 words was 22.9 [CPM], and the error rate was 8%. In an experiment in which 10 words were entered daily for 30 days, the input speed of two participants was 35 [CPM] and the other participant was 25 [CPM].
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References
Tanaka, T., Shibata, Y., Sagawa, Y.: One-handed character input method for smart glasses. In: Yamamoto, S., Mori, H. (eds.) HCII 2020. LNCS, vol. 12184, pp. 393–406. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50020-7_28
Alexa Voice Service Overview (v20160207). https://developer.amazon.com/docs/alexa-voice-service/api-overview.html. Accessed 30 Jan 2022
Use Siri on all your Apple devices. https://support.apple.com/en-us/HT204389. Accessed 30 Jan 2022
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 30 Jan 2022
Fujitsu Laboratories Develops Ring-Type Wearable Device Capable of Text Input by Fingertip. https://www.fujitsu.com/global/about/resources/news/press-releases/2015/0113-01.html. Accessed 30 Jan 2022
Fujitsu Develops Glove-Style Wearable Device. http://www.fujitsu.com/global/about/resources/news/press-releases/2014/0218-01.html. Accessed 30 Jan 2022
Ring Zero. https://logbar.jp/ja/index.html, https://www.techinasia.com/ring-zero-new-start-japanese-wearable, https://www.g-mark.org/award/describe/42290?locale=en. Accessed 30 Jan 2022
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: 25th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2018 - Proceedings, 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), 31:1–31:10 (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 30 Jan 2022
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 30 Jan 2022
Wong, P., Zhu, K., Fu, H.: FingerT9: leveraging thumb-to-finger interaction for same-side-hand text entry on smartwatches. In: Proceedings of CHI 2018, Paper No. 178 (2017)
Whitmier, E., et al.: DigiTouch: reconfigurable thumb-to-finger input and text entry on head-mounted displays. In: Proceedings of ACM IMWUT 2017, vol. 1, no. 3, Article 133 (2017)
Xu, Z., 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 30 Jan 2022
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 CHI 2017, pp. 692–704 (2017)
Gong, J., Yang, X., Irani, P.: WristWhirl: one-handed continuous smartwatch input using wrist gesture. In: Proceedings of UIST 2016, pp. 861–872 (2016)
Gong, J., et al.: WrisText: one-handed text entry on smartwatch using wrist gestures. In: Proceedings of CHI 2018, Paper No. 181 (2018)
The word list of the Balanced Corpus of Contemporary Written Japanese of the National Institute for Japanese Language and Linguistics. https://ccd.ninjal.ac.jp/bccwj/en/freq-list.html. Accessed 30 Jan 2022
Let’s check the “frequency of hiragana appearance” on your blog using your computer!(in Japanese). https://ena.hatenablog.jp/entry/20070604/1180930739. Accessed 30 Jan 2022
Soukoreff, R.W., MacKenzie, I.S.: Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric. In: Proceedings of ACM CHI 2003, pp. 113–120 (2003)
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Tanaka, T., Ogawa, N., Tsuboi, R., Sagawa, Y. (2022). One-Handed Character Input Method for Smart Glasses that Does Not Require Visual Confirmation of Fingertip Position. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_13
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