User Interaction with Word Prediction: The Effects of Prediction Quality
User Interaction with Word Prediction: The Effects of Prediction Quality
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用户与单词预测的交互：预测质量的影响
DOI：
10.1145/1497302.1497307
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Christopher A. Pennington
中科院分区：
文献类型：
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作者：
Keith Trnka;J. McCaw;Debra Yarrington;Kathleen F. McCoy;Christopher A. Pennington
单词预测系统可以减少在基于字母的AAC系统中形成消息所需的重复次数。然而，由于额外的开销（例如，焦点的移动和预测列表的重复扫描）。我们的假设是，单词预测有很高的潜力，提高AAC通信速率，但数量是在一个复杂的方式依赖于预测的准确性。由于AAC系统中的用户界面变化很大，以及现有设备上先前单词预测经验的潜在偏差，该假设很难验证。我们提出了一个研究两种不同的词预测方法相比，在模拟AAC通信速率的字母由字母输入。我们发现，单词预测系统实际上可以加快通信速率（高级系统提高了58.6%），并且更准确的单词预测系统可以提高通信速率，这比由于更好的利用率（高级系统的利用率为93.6%，基本系统的利用率为78.2%）而单独使用系统的额外准确度所解释的要高。
Word prediction systems can reduce the number of keystrokes required to form a message in a letter-based AAC system. It has been questioned, however, whether such savings translate into an enhanced communication rate due to the additional overhead (e.g., shifting of focus and repeated scanning of a prediction list) required in using such a system. Our hypothesis is that word prediction has high potential for enhancing AAC communication rate, but the amount is dependent in a complex way on the accuracy of the predictions. Due to significant user interface variations in AAC systems and the potential bias of prior word prediction experience on existing devices, this hypothesis is difficult to verify. We present a study of two different word prediction methods compared against letter-by-letter entry at simulated AAC communication rates. We find that word prediction systems can in fact speed communication rate (an advanced system gave a 58.6% improvement), and that a more accurate word prediction system can raise the communication rate higher than is explained by the additional accuracy of the system alone due to better utilization (93.6% utilization for advanced versus 78.2% for basic).