研究数据收集会话代理的设计和原型

Companion Proceedings of the 2022 Conference on Interactive Surfaces and Spaces Pub Date : 2022-11-20 DOI:10.1145/3532104.3571467

Jing Wei, Young-Ho Kim, Samantha W. T. Chan, Tilman Dingler

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引用次数: 0

摘要

会话代理作为一种收集数据和管理干预的工具，已经引起了研究人员越来越多的兴趣。它们通过对话提供了一个自然的用户界面，因此有可能在家中和旅途中接触到广泛的人群。一些开发者工具和商业框架以及开源框架允许部署基于文本的聊天机器人和语音助手。在这个90分钟的教程中，参与者将学习如何选择一个合适的平台，如何设计和部署他们的会话代理，以及如何通过会话代理转变传统的调查。

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Design and Prototype Conversational Agents for Research Data Collection

Conversational agents have gained increasing interest from researchers as a tool to collect data and administer interventions. They provide a natural user interface through conversations and hence have the potential to reach a wide population in their homes and on the go. Several developer tools and commercial as well as open-source frameworks allow for the deployment of both text-based chatbots and voice assistants. In this 90 min tutorial, participants will learn how to choose an appropriate platform, how to design and deploy their conversational agents, and how to transform traditional surveys through conversation agents.

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Companion Proceedings of the 2022 Conference on Interactive Surfaces and Spaces

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