Phraseflow: Designs and empirical studies of phrase-level input

Abstract

Decoding on phrase-level may aford more correction accuracy than on word-level according to previous research. However, how phrase-level input afects the user typing behavior, and how to design the interaction to make it practical remain under explored. We present PhraseFlow, a phrase-level input keyboard that is able to correct previous text based on the subsequently input sequences. Computational studies show that phrase-level input reduces the error rate of autocorrection by over 16%. We found that phrase-level input introduced extra cognitive load to the user that hindered their performance. Through an iterative design-implement-research process, we optimized the design of PhraseFlow that alleviated the cognitive load. An in-lab study shows that users could adopt PhraseFlow quickly, resulting in 19% fewer error without losing speed. In real-life settings, we conducted a six-day deployment study with 42 participants, showing that 78.6% of the users would like to have the phrase-level input feature in future keyboards.