框架更新:框架如何影响自动驾驶系统的信任

Scott Mishler, Jing Chen
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引用次数: 0

摘要

自动驾驶系统(ADS)的蓬勃发展有望改变人类驾驶和与车辆互动的方式,尤其是当这些系统获得可能改变其工作方式的新更新时。人类自动化团队需要确保在任何给定的时间为控制驾驶任务的人建立适当的角色。人类需要有适当校准的信任,知道如何在驾驶过程中正确地使用系统。框架研究表明,积极和消极框架可以影响个人的感知和决策方式,快速信任表明,在新成立的团队中,信任可以很快建立起来。我们借鉴了这两个领域的文献,并测试了ADS的新更新是如何以促进或抑制信任为目标向驾驶员提供的,以确保人类驾驶员保持适当的信任校准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Framing Updates: How Framing Influences Trust for Automated Driving Systems
The boom of automated driving systems (ADS) promises to change the way humans drive and interact with their vehicle, especially when these systems receive new updates that may change the way they work. Human-automation teams need to ensure proper roles are established for who is in control of the driving task at any given time. The human needs to have properly calibrated trust to know how to properly work with the system during driving. Framing research shows that positive and negative framing can influence how individuals perceive and make decisions, and swift trust shows that trust can be created quickly in newly established teams. We draw from both realms of literature and tested how new updates of the ADS are framed to the driver with the goal of either promoting or dampening trust to ensure the human driver is maintaining proper trust calibration.
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