Text correction in pen-based computers: an empirical comparison of methods

T. V. Gelderen, A. Jameson, Arne L. Duwaer
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Apparatus A Philips Advanced Interactive Display (PAID), was used as the pen-based computer. It had a VGA (640 x 480 pixel) 11“ LCD (backlit) display with a stylus attached to the display by a thin cable. Subjects wrote directly on the screen, and immediate feedback was given of the resulting “electronic ink”. With the two handwriting methods, the sentence was displayed in a window comprising 6 rows of 15 boxes (one for each letter, each box measuring 1 x 1 cm); changes to the sentence were reflected in the same window. A Wizard-of-Oz technique was used to simulate essentially perfect character recognition, so as to eliminate the noise that would be introduced into the data by imperfect automatic character recognition: The experimenter worked at a hidden desktop computer whose screen showed the same display as that of the pen-based computer. With the help of specially written software, the experimenter caused the symbols written by the subject to be handled exactly aa if the computer had (correctly) interpreted them; for example, in the delay condition, the results of the subject’s actions were displayed after each delay of 1.5 sees. With the virtual keyboard method, the screen displayed at the top the sentence to be corrected and at the bottom the virtual keyboard, in which each key measured 0.8 x0.8 cm. Subjects The 30 paid subjects (mean age: 25) had no previous experience with pen-based computing, but all had experience with the use of a keyboard. Design Each subject performed 1 correction task with each of the 3 methods (as well as with 5 other methods not discussed here, of which 4 involved handwriting and 1 involved a different type of virtual keyboard). For each subject, the order of using the different methods was randomized, as was the selection of the sentence to be corrected with each method. Procedure Subjects were first given a general introduction and a practice session lasting 20 minutes to acquaint them with all of the variants used. Then each subject performed, with each method, 3 tasks: 2 (not analysed here) that involved only entering a given sentence, followed by 1 text correction task aa described above. RESULTS The time to execute each text correction task was measured between presentation of the sentence and completion of the last correction. The mean times (and standard errors of the means) for completing a correction task are as follows: handwriting with button: 44.4 +.3 sees; handwriting with delay: 42.1 + 3.0 sees; virtual keyboard: 33.6 + 2.7 sees. The times for the two handwriting methods do not differ significantly according to a paired t-test (t(29) = 0.45, p = .65). But each of these mean times is more than 25% higher than the mean time for the virtual keyboard method, both differences being significant (t(29) = 2.24 and t(29) = 2.59 for the differences with the button and the delay methods, respectively, p < .05). The stability of these results is supported by the appearance of the same pattern in the other conditions of our experiment, which included five further methods and involved text entry tasks sa well as correction tasks: Nowhere was there a reliable difference between methods that differed only in their use of a button vs. a delay; and the virtual keyboard was always substantially faster than handwriting.","PeriodicalId":350454,"journal":{"name":"INTERACT '93 and CHI '93 Conference Companion on Human Factors in Computing Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERACT '93 and CHI '93 Conference Companion on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/259964.260115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Three methods for correcting text in pen-based computers were compared in an experiment involving 30 subjects. In spite of simulated virtually perfect character recognition, the two methods involving handwriting proved 25~0 slower than the method involving a “virtual keyboard”. There was essentially no difference between the detectable errors: 2 missing between-word spaces, which were to be inserted using a “space” gesture or a space key (on the virtual keyboard); 2 superfluous within-word spaces, to be removed using a “delete” gesture or key; and 2 incorrect letters which were to be overwritten with the correct letter (with the handwriting methods) or deleted prior to insertion of the correct letter (with the virtual keyboard). Apparatus A Philips Advanced Interactive Display (PAID), was used as the pen-based computer. It had a VGA (640 x 480 pixel) 11“ LCD (backlit) display with a stylus attached to the display by a thin cable. Subjects wrote directly on the screen, and immediate feedback was given of the resulting “electronic ink”. With the two handwriting methods, the sentence was displayed in a window comprising 6 rows of 15 boxes (one for each letter, each box measuring 1 x 1 cm); changes to the sentence were reflected in the same window. A Wizard-of-Oz technique was used to simulate essentially perfect character recognition, so as to eliminate the noise that would be introduced into the data by imperfect automatic character recognition: The experimenter worked at a hidden desktop computer whose screen showed the same display as that of the pen-based computer. With the help of specially written software, the experimenter caused the symbols written by the subject to be handled exactly aa if the computer had (correctly) interpreted them; for example, in the delay condition, the results of the subject’s actions were displayed after each delay of 1.5 sees. With the virtual keyboard method, the screen displayed at the top the sentence to be corrected and at the bottom the virtual keyboard, in which each key measured 0.8 x0.8 cm. Subjects The 30 paid subjects (mean age: 25) had no previous experience with pen-based computing, but all had experience with the use of a keyboard. Design Each subject performed 1 correction task with each of the 3 methods (as well as with 5 other methods not discussed here, of which 4 involved handwriting and 1 involved a different type of virtual keyboard). For each subject, the order of using the different methods was randomized, as was the selection of the sentence to be corrected with each method. Procedure Subjects were first given a general introduction and a practice session lasting 20 minutes to acquaint them with all of the variants used. Then each subject performed, with each method, 3 tasks: 2 (not analysed here) that involved only entering a given sentence, followed by 1 text correction task aa described above. RESULTS The time to execute each text correction task was measured between presentation of the sentence and completion of the last correction. The mean times (and standard errors of the means) for completing a correction task are as follows: handwriting with button: 44.4 +.3 sees; handwriting with delay: 42.1 + 3.0 sees; virtual keyboard: 33.6 + 2.7 sees. The times for the two handwriting methods do not differ significantly according to a paired t-test (t(29) = 0.45, p = .65). But each of these mean times is more than 25% higher than the mean time for the virtual keyboard method, both differences being significant (t(29) = 2.24 and t(29) = 2.59 for the differences with the button and the delay methods, respectively, p < .05). The stability of these results is supported by the appearance of the same pattern in the other conditions of our experiment, which included five further methods and involved text entry tasks sa well as correction tasks: Nowhere was there a reliable difference between methods that differed only in their use of a button vs. a delay; and the virtual keyboard was always substantially faster than handwriting.
笔式计算机的文本校正:方法的经验比较
在一项涉及30名受试者的实验中,比较了三种手写计算机文本纠错方法。尽管模拟了几乎完美的字符识别,但两种涉及手写的方法被证明比涉及“虚拟键盘”的方法慢25~0。可检测到的错误基本上没有区别:2个单词之间的空格缺失,需要使用“空格”手势或空格键(在虚拟键盘上)插入;2个多余的字内空格,使用“删除”手势或键删除;还有2个错误的字母,要用正确的字母(用手写方法)覆盖,或者在插入正确的字母之前删除(用虚拟键盘)。仪器采用飞利浦先进交互显示器(PAID)作为笔式计算机。它有一个VGA (640 x 480像素)11英寸LCD(背光)显示屏,用细线连接着一个触控笔。实验对象直接在屏幕上写字,产生的“电子墨水”会立即得到反馈。用这两种书写方法,句子显示在一个由6排15个盒子组成的窗口中(每个字母一个盒子,每个盒子尺寸为1 x 1厘米);句子的变化也反映在同一个窗口中。为了消除不完美的自动字符识别所带来的噪声,实验人员使用了一种“绿野仙踪”技术来模拟基本完美的字符识别。实验人员在一台隐藏的台式计算机前工作,其屏幕显示与手写计算机相同。在专门编写的软件的帮助下,如果计算机(正确地)解释了受试者所写的符号,则实验者使其准确地处理这些符号;例如,在延迟条件下,每延迟1.5秒显示被试的动作结果。使用虚拟键盘法时,屏幕顶部显示要纠正的句子,底部显示虚拟键盘,其中每个键的尺寸为0.8 x0.8厘米。30名付费受试者(平均年龄:25岁)以前没有使用笔式计算的经验,但都有使用键盘的经验。每个受试者用这三种方法中的每一种执行一项纠正任务(以及其他五种此处未讨论的方法,其中四种涉及手写,一种涉及不同类型的虚拟键盘)。对于每个受试者,使用不同方法的顺序是随机的,每种方法要纠正的句子的选择也是随机的。首先给受试者一个一般的介绍和一个持续20分钟的练习环节,以使他们熟悉所有使用的变体。然后,每个受试者用每种方法执行3个任务:其中2个(这里没有分析)只涉及输入给定句子,然后是1个文本更正任务(如上所述)。结果测量每个文本纠错任务的执行时间,从句子出现到最后一次纠错完成。完成一项校正任务的平均时间(以及平均值的标准误差)如下:带按钮的笔迹:44.4 +。3看到;延迟书写:42.1 + 3.0见;虚拟键盘:33.6 + 2.7。根据配对t检验,两种手写方法的时间没有显着差异(t(29) = 0.45, p = 0.65)。但这些平均时间均比虚拟键盘方法的平均时间高25%以上,两者差异均显著(与按钮和延迟方法的差异分别为t(29) = 2.24和t(29) = 2.59, p < 0.05)。这些结果的稳定性得到了我们实验中其他条件下相同模式的支持,其中包括五种进一步的方法,涉及文本输入任务和纠正任务:方法之间没有可靠的差异,只是在使用按钮和延迟之间存在差异;而且虚拟键盘总是比手写键盘快得多。
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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