论文标题
Marvista：探索人类协作新闻阅读工具的设计
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool
论文作者
论文摘要
我们探索了Marvista的设计，Marvista是一种人类协作工具，该工具采用了一套自然语言处理模型来为阅读在线新闻文章提供端到端的支持。在阅读文章之前，Marvista可以根据人们可以花费多少时间以及人们从文章中找到哪些问题来帮助用户计划阅读的内容。在阅读过程中，Marvista通过AI生成的问题帮助用户反思他们对每个段落的理解。阅读后，Marvista生成了可解释的人类摘要，该摘要结合了AI对文本的处理，用户的阅读行为以及阅读过程中用户生成的数据。与提供（独立于内容的）交互技术或阅读设备的先前工作相反，Marvista采用了人类协作方法，该方法为特定文本的指导（内容感知）提供了支持，以支持整个阅读过程。
We explore the design of Marvista -- a human-AI collaborative tool that employs a suite of natural language processing models to provide end-to-end support for reading online news articles. Before reading an article, Marvista helps a user plan what to read by filtering text based on how much time one can spend and what questions one is interested to find out from the article. During reading, Marvista helps the user reflect on their understanding of each paragraph with AI-generated questions. After reading, Marvista generates an explainable human-AI summary that combines both AI's processing of the text, the user's reading behavior, and user-generated data in the reading process. In contrast to prior work that offered (content-independent) interaction techniques or devices for reading, Marvista takes a human-AI collaborative approach that contributes text-specific guidance (content-aware) to support the entire reading process.
