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首页> 外文会议>International Conference on Autonomous Agents and Multiagent Systems >Towards an Online Emotional Support Agent: Identifying Emotional Support Strategies via Crowdsourcing
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Towards an Online Emotional Support Agent: Identifying Emotional Support Strategies via Crowdsourcing

机译：走向在线情感支持者：通过众包识别情绪支持策略

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摘要

In this paper, an empirical study conducted with Amazon Mechanical Turk workers is presented that aims to make a correspondence between messages about stressful situations, which were shared via Twitter, and 5 different types of supportive replies to them. Around 10.00 tweets were collected and analyzed in the terms previously described. We performed statistical tests to determine possible correlations between causes of stress and supportive response strategies. We are about to use these findings to improve a previously implemented algorithm that automatically generates supportive messages to stressed users. This algorithm is the core of an agent, in the form of a chatbot, that would be able to interact with such stressed users as if it would belong to their social networks.
机译：本文介绍了亚马逊机械土耳其工具进行的实证研究，旨在通过Twitter共享关于压力情况的信息与对其共享的消息之间的对应关系。收集约10.00次推文，并在先前描述的术语中分析并分析。我们进行了统计测试，以确定应力和支持响应策略的原因之间可能的相关性。我们即将使用这些发现来改进以前实现的算法，自动为强调用户生成支持性消息。该算法是代理的核心，以聊天栏的形式，能够与这种压力的用户交互，好像它属于他们的社交网络。

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