Department of Experimental Psychology, Ghent University, Ghent, Belgium.
Department Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, The Netherlands.
Behav Res Methods. 2020 Apr;52(2):741-760. doi: 10.3758/s13428-019-01272-8.
We present a new dataset of English word recognition times for a total of 62 thousand words, called the English Crowdsourcing Project. The data were collected via an internet vocabulary test in which more than one million people participated. The present dataset is limited to native English speakers. Participants were asked to indicate which words they knew. Their response times were registered, although at no point were the participants asked to respond as quickly as possible. Still, the response times correlate around .75 with the response times of the English Lexicon Project for the shared words. Also, the results of virtual experiments indicate that the new response times are a valid addition to the English Lexicon Project. This not only means that we have useful response times for some 35 thousand extra words, but we now also have data on differences in response latencies as a function of education and age.
我们呈现了一个新的英文单词识别时间数据集，总共有 62000 个单词，称为英文众包项目。这些数据是通过一个互联网词汇测试收集的，有超过一百万人参与。目前这个数据集仅限于以英语为母语的人。参与者被要求指出他们认识的单词。他们的反应时间被记录下来，尽管在任何时候都没有要求参与者尽快做出反应。尽管如此，反应时间与英语词汇项目中共享单词的反应时间的相关性约为 0.75。此外，虚拟实验的结果表明，新的反应时间是对英语词汇项目的有效补充。这不仅意味着我们有大约 35000 个额外单词的有用反应时间，而且我们现在还有关于反应时差异的教育和年龄的相关数据。
