We present the design, implementation and evaluation of a new cloud-based social chatbot called MyMigrationBot, that is deployed to Facebook. The system asks and answers questions related to user's personality traits and person-job competency fit to give feedback, and potentially support migrant populations. The chatbot's response database is based on reputable socio-psychological tools and can be customised. The system's backend is written with Node.js, deployed to AWS and Twilio, and joined with Facebook through Graph and Messenger APIs. To our knowledge this is the first multilingual social chatbot deployed to Facebook and designed to research and support migrant populations with feedback in Europe. It does not have personality like other bots, but it can study and feedback on migrants' personality and on other customised questionnaires e.g., job-competency fit. The aim of a social chatbot in our research project is to help engage migrants with social research using feedback information tailored to them. It can help migrants to get knowledge about their psycho-social resources and therefore to facilitate their integration process into a receiving labour market. We evaluated the chatbot on a group of 53 people, incl. 23 migrants, and we present the results.
翻译:我们展示了一个新的基于云的社交聊天室的设计、实施和评价,名为MymigrationBot,它被部署到Facebook;该系统询问和回答与用户个性特征和适合提供反馈和潜在支持移民人口的个人工作能力有关的问题;聊天室的应对数据库以有声的社会心理工具为基础,可以定制;该系统的后端由Node.js编写,被部署到AWS和Twilio,并通过图形和信使APIs与脸书合并;据我们所知,这是首次在Facebook上部署的多语种社会聊天室,旨在研究和支持欧洲移民人口的反馈。它没有像其他机器人一样的个性,但可以研究和反馈移民的个性和其他定制问卷,例如工作能力适合。我们研究项目中的社交聊天室的目的是帮助移民利用为他们量身定制的反馈信息进行社会研究。它可以帮助移民获得有关其社会心理资源的知识,从而便利他们融入目前接受劳动力市场的进程。我们评估了53个人群和23个群体的对话结果。