智能手錶上的虛擬鍵盤之比較

A Comparison of Soft Keyboards on Circular Smartwatches

郝瑞尼(Reinhard Pointner)

指導教授 ： 陳彥仰

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2017年)

https://doi.org/10.6342/NTU201702071

摘要

無資料

關鍵字

輸入法 ； 拼音 ； 智能手 ； 錶人際互動

並列摘要

Smartwatches, wearable electronics, and other miniature devices are becoming increasingly popular. However, text input on such small devices remains a challenge due to small form factors, especially for non-Latin languages that require more complex key entry techniques. We implement and compare 3 fully functional soft keyboards for typing Mandarin Chinese using the Hanyu Pinyin system on the latest generation of circular smartwatch devices. We introduce 2 such novel adaptive keyboards called Growing Finals and Pinyin Syllables, which change dynamically based on the current input and the limited number of possible subsequent letters, optimize available screen size, and improve better user experience on small screens. Our evaluation is based on a user study with 15 participants and shows input speeds of around 19.4 CCPM for Growing Finals and 18.5 CCPM for Pinyin Syllables after 20 minutes of practice. More than half of the participants preferred one of these input methods over the standard QWERTY keyboard.

並列關鍵字

Text Entry ； Pinyin ； Smartwatch ； Human Factors

參考文獻

[1] T. Chen and M.-Y. Kan. Creating a live, public short message service corpus: the nus sms corpus. Language Resources and Evaluation, 47(2):299–335, Jun 2013.

[4] Y. Liu, X. Chen, L. Wang, H. Zhang, and S. LI. Pinyinpie: A pie menu augmented soft keyboard for chinese pinyin input methods. In Proceedings of the 14th Inter- national Conference on Human-computer Interaction with Mobile Devices and Ser- vices, MobileHCI ’12, pages 271–280, New York, NY, USA, 2012. ACM.

[2] X. A. Chen, T. Grossman, and G. Fitzmaurice. Swipeboard: A text entry technique for ultra-small interfaces that supports novice to expert transitions. In Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, UIST ’14, pages 615–620, New York, NY, USA, 2014. ACM.

[3] L. A. Leiva, A. Sahami, A. Catala, N. Henze, and A. Schmidt. Text entry on tiny qwerty soft keyboards. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI ’15, pages 669–678, New York, NY, USA, 2015. ACM.

[5] Y. Liu, K. Ding, and N. Liu. Immediate user performances with touch chinese text entry solutions on handheld devices. In Proceedings of the 11th International Con- ference on Human-Computer Interaction with Mobile Devices and Services, Mobile- HCI ’09, pages 56:1–56:2, New York, NY, USA, 2009. ACM.