首页> 外文会议>2010 IEEE International Professional Communication Conference >Think-aloud protocols: Analyzing three different think-aloud protocols with counts of verbalized frustrations in a usability study of an information-rich Web site
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Think-aloud protocols: Analyzing three different think-aloud protocols with counts of verbalized frustrations in a usability study of an information-rich Web site

机译:思维协议:在信息丰富的网站的可用性研究中,分析三种不同的具有言语挫折感的思维协议

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We describe an empirical, between-subjects study on the use of think-aloud protocols in usability testing of an information-rich Web site. This double-blind study used three different types of think-aloud protocols: a traditional protocol, a speech-communication protocol, and a coaching protocol. A silent condition served as the control. Eighty participants were recruited and randomly pre-assigned to one of four conditions. With the goal of keeping unintended bias to a minimum, data analysis did not count the number of identified usability problems by condition, which was considered too subjective. Rather, the study collected the number of verbalized and non-verbalized counts of frustration by condition that users experienced. The study also did a count of the number of verbalized and non-verbalized instances of positive comments by condition that users expressed. Results show that there were no statistical differences in the number of counts by condition with respect to the traditional, speech communication, or coaching condition. The study concludes that simply counting the verbalizations of users by condition does not give enough information to determine whether any of the conditions would lead to a better understanding of the usability problems associated with the Web site.
机译:我们描述了关于在一个信息丰富的网站的可用性测试中使用思考方式协议的实证研究。这项双盲研究使用了三种不同类型的思考协议:传统协议,语音通信协议和教练协议。静音条件用作控制。招募了80名参与者并将其随机分配给以下四个条件之一。为了将意外偏差降到最低,数据分析未按条件对已确定的可用性问题进行计数,这被认为过于主观。相反,该研究根据用户经历的条件收集了沮丧的口头表达和非语言表达的数量。该研究还根据用户表达的条件对正面评论的言语和非言语实例数量进行了计数。结果表明,相对于传统,语音交流或教练条件,按条件计算的计数数量没有统计学差异。该研究得出的结论是,简单地按条件对用户的语言进行计数并不能提供足够的信息来确定是否有任何条件会导致人们更好地理解与网站相关的可用性问题。

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