Gathering text entry metrics on android devices

We developed an application to gather text entry speed and accuracy metrics on Android devices. This paper details the features of the application and describes a pilot study to demonstrate its utility. We evaluated and compared three mobile text entry methods: QWERTY typing, handwriting recognition, and shape writing recognition. Handwriting was the slowest and least accurate technique. QWERTY was faster than shape writing, but we found no significant difference in accuracy between the two techniques. Keywords Text entry, metrics, entry speed, accuracy, Android OS ACM Classification Keywords H.5.2 Information interfaces and presentation (e.g., HCI): User Interfaces---evaluation/methodology. General Terms Human Factors, Performance, Measurement

• Type: Journal
• Year: 2011
• Where: CHI
• Authors: Steven J. Castellucci, I. Scott MacKenzie
• Keywords: Accurate Technique, CHI 2011, Handwriting Recognition, Human Computer Interaction, Speed Accuracy