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首页> 外文会议>Hawaii international conference on system sciences >What Matters for Chatbots? Analyzing Quality Measures for Facebook Messenger's 100 Most Popular Chatbots
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What Matters for Chatbots? Analyzing Quality Measures for Facebook Messenger's 100 Most Popular Chatbots

机译：聊天禁令的事是什么？分析Facebook Messenger 100最受欢迎的聊天禁令的质量措施

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摘要

Chatbots are becoming mainstream. This work aims at ascertaining what are the enablers behind this popularity. To this end, we introduce four quality attributes, namely, "support of a minimal set of commands", "foresee language variations", "human-assistance provision" and "timeliness". These criteria are applied to the 100 most popular Facebook Messenger chatbots. We review and measure both capacities and performance in order to find correlations between quality attribute fulfilment and popularity (chatbots' 'likes'). Results show no significance correlations between quality attributes and chatbot popularity. However, the experiment comes up with three main contributions. First, a detailed description of how to measure these four quality attributes. Second, insights about how this assessment can be automatized, paving the way towards chatbot-evaluation platforms. Third, a checklist of frequently committed interaction errors as found in the revised chatbots. This might help developers to double-check their development.
机译：聊天正在成为主流。这项工作旨在确定这种受欢迎程度背后的推动者。为此，我们引入了四个质量属性，即“支持最小的命令”，“预见语言变化”，“人类辅助提供”和“及时性”。这些标准应用于100个最受欢迎的Facebook Messenger Chatbots。我们审查和衡量能力和性能，以便在质量属性履行和流行之间找到相关性（Chatbots''Hakes'）。结果显示了质量属性与聊天人气之间的重要性相关性。但是，实验提出了三个主要贡献。首先，详细描述如何测量这四个质量属性。其次，关于这种评估如何自动化的见解，铺平了聊天评估平台。第三，在修订的Chatbots中找到的经常承诺的交互错误的清单。这可能有助于开发人员仔细检查他们的发展。

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