交互式AI设计对用户行为的影响--基于事实核查COVID-19声明的眼动追踪研究
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims
摘要：
我们进行了一项基于实验室的眼动追踪研究，以调查人工智能事实检查系统的交互性如何影响用户交互，例如停留时间，注意力和使用系统所涉及的心理资源。进行了一项受试者内实验，参与者使用了一个互动和一个非互动版本的模拟人工智能事实核查系统，并对他们对COVID-19相关声明的正确性进行了评估。我们使用NASA-TLX收集了网页交互、眼动追踪数据和心理负荷。我们发现，交互式操纵人工智能系统预测参数的启示的存在影响了用户的停留时间和AOI上的眼睛注视，但不影响心理工作量。在交互式系统中，参与者花费最多的时间来评估索赔的正确性，其次是阅读新闻。这一令人鼓舞的结果显示了交互性在混合主动AI驱动系统中的积极作用。
英文摘要：
We conducted a lab-based eye-tracking study to investigate how the interactivity of an AI-powered fact-checking system affects user interactions, such as dwell time, attention, and mental resources involved in using the system. A within-subject experiment was conducted, where participants used an interactive and a non-interactive version of a mock AI fact-checking system and rated their perceived correctness of COVID-19 related claims. We collected web-page interactions, eye-tracking data, and mental workload using NASA-TLX. We found that the presence of the affordance of interactively manipulating the AI system's prediction parameters affected users' dwell times, and eye-fixations on AOIs, but not mental workload. In the interactive system, participants spent the most time evaluating claims' correctness, followed by reading news. This promising result shows a positive role of interactivity in a mixed-initiative AI-powered system.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
