Niboshi for slate devices: A Japanese input method using multi-touch for slate devices

Gimpei Kimioka, Buntarou Shizuki, Jiro Tanaka

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

We present Niboshi for slate devices, an input system that utilizes a multi-touch interface. Users hold the device with both hands and use both thumbs to input a character in this system. Niboshi for slate devices has four features that improve the performance of inputting text to slate devices: it has a multi-touch input, enables the device to be firmly held with both hands while text is input, can be used without visual confirmation of the input buttons, and has a large text display area with a small interface. The Niboshi system will enable users to type faster and requires less user attention to typing than existing methods.

元の言語English
ホスト出版物のタイトルHuman-Computer Interaction
ホスト出版物のサブタイトルInteraction Techniques and Environments - 14th International Conference, HCI International 2011, Proceedings
ページ81-89
ページ数9
エディションPART 2
DOI
出版物ステータスPublished - 2011 7 19
イベント14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States
継続期間: 2011 7 92011 7 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
6762 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference14th International Conference on Human-Computer Interaction, HCI International 2011
United States
Orlando, FL
期間11/7/911/7/14

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Kimioka, G., Shizuki, B., & Tanaka, J. (2011). Niboshi for slate devices: A Japanese input method using multi-touch for slate devices. : Human-Computer Interaction: Interaction Techniques and Environments - 14th International Conference, HCI International 2011, Proceedings (PART 2 版, pp. 81-89). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6762 LNCS, 番号 PART 2). https://doi.org/10.1007/978-3-642-21605-3_9