论文信息 - WebTEM: A Web Application to Record Text Entry Metrics

WebTEM: A Web Application to Record Text Entry Metrics

WebTEM is a Web application to record text entry metrics. It is developed with common Web technologies, thus works on any device with a modern Web browser, and with any keyboard. We evaluated its effectiveness in an empirical study that compared the default Apple iOS, Google Android, and Microsoft Windows Phone keyboards. Results of the study highlighted mobile users' increased dependency on autocorrections.

Ali Mazalek | Ahmed Sabbir Arif

[1] I. Scott MacKenzie,et al. Gathering text entry metrics on android devices , 2011, CHI EA '11.

[2] Per Ola Kristensson,et al. A versatile dataset for text entry evaluations based on genuine mobile emails , 2011, Mobile HCI.

[3] Ali Mazalek,et al. Metrics for Bengali Text Entry Research , 2017, ArXiv.

[4] Ahmed Sabbir Arif,et al. Analysis of text entry performance metrics , 2009, 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH).

[5] I. Scott MacKenzie,et al. Phrase sets for evaluating text entry techniques , 2003, CHI Extended Abstracts.

[6] Ahmed Sabbir Arif,et al. Two New Mobile Touchscreen Text Entry Techniques , 2010 .

[7] Janet C. Read,et al. Children's phrase set for text input method evaluations , 2006, NordiCHI '06.

[8] Ahmed Sabbir Arif,et al. A Phrase Set for Bengali Text Entry Evaluations Based on Actual Text Messages , 2016, CHI Extended Abstracts.

[9] Brad A. Myers,et al. Analyzing the input stream for character- level errors in unconstrained text entry evaluations , 2006, TCHI.

[10] I. Scott MacKenzie,et al. Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric , 2003, CHI '03.