Does prediction really help in Marathi text input?: empirical analysis of a longitudinal study

G. Dalvi, Shashank Ahire, Nagraj Emmadi, Manjiri Joshi, Anirudha N. Joshi, Sanjay Ghosh, Prasad Ghone, Narendra Parmar
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引用次数: 10

Abstract

As part of an ongoing standardization effort, we were asked to evaluate Marathi text input mechanisms on smartphones. We undertook a between-subject longitudinal evaluation of four existing keyboards with 153 novice users who participated for 31 sessions each, spread over 3--4 weeks. In this paper, we present the empirical results of the performance of these keyboards and discuss them with respect to their designs. We found that keyboards with logical layouts performed marginally better than keyboards with partially frequency-based layouts. Results also showed that users performed poorly on keyboards that have word prediction features in comparison with keyboards that don't have prediction features while typing Marathi. We speculate that this difference in performance is related to a "cognitive toll" that the users pay to use word prediction. We identify several directions for future research.
预测在马拉地文字输入中真的有帮助吗?:纵向研究的实证分析
作为正在进行的标准化工作的一部分,我们被要求评估智能手机上的马拉地文字输入机制。我们在3- 4周的时间里,对153名新手用户进行了4种现有键盘的纵向评估。在本文中,我们提出了这些键盘性能的实证结果,并就其设计进行了讨论。我们发现逻辑布局的键盘比部分基于频率布局的键盘性能稍好。结果还显示,在输入马拉地语时,用户在带有单词预测功能的键盘上的表现比在没有预测功能的键盘上的表现要差。我们推测,这种表现上的差异与用户为使用单词预测而付出的“认知代价”有关。我们确定了未来研究的几个方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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