Efficient Interaction with Automotive Heads-Up Displays using Appearance-based Gaze Tracking

Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Pub Date : 2022-09-17 DOI:10.1145/3544999.3554818

L. Murthy, Gyanig Kumar, Modiksha Madan, Sachin Deshmukh, P. Biswas

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引用次数: 2

Abstract

Automotive Head-Up Displays (HUD) offer a promising alternative to the existing Head Down Displays (HDD) inside the car. Since HUDs lie closer to the driver’s line of sight, they reduce eyes-off-the-road time of the drivers while interacting with them. Yet existing HUDs do not provide interactivity restricting their potential to mere information visualization. In this work, we proposed a novel webcam-based gaze tracking system to interact with the icons on HUD. We conducted a user study on a driving simulator and compared the proposed system with a Gesture-based system. We collected quantitative and qualitative metrics from 8 participants while they were performing a dual-task trial. We observed that using the proposed eye gaze system, users were able to select icons on the HUD as fast as gesture modality. Further, users perceived significantly lower cognitive load and expressed significantly higher preference towards the proposed eye gaze control system than the gesture-based system.

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使用基于外观的凝视跟踪与汽车平视显示器的有效交互

汽车平视显示器(HUD)为现有的车内平视显示器(HDD)提供了一个很有前途的替代方案。由于hud靠近驾驶员的视线，它们减少了驾驶员在与他们互动时眼睛离开道路的时间。然而，现有的hud不提供交互性，限制了它们的潜力仅仅是信息可视化。在这项工作中，我们提出了一种新的基于网络摄像头的注视跟踪系统，以与HUD上的图标进行交互。我们在驾驶模拟器上进行了用户研究，并将所提出的系统与基于手势的系统进行了比较。我们收集了8名参与者在进行双任务试验时的定量和定性指标。我们观察到，使用提议的眼睛注视系统，用户能够像手势模式一样快速地在HUD上选择图标。此外，用户感知到的认知负荷显著低于基于手势的注视控制系统，并且对该系统的偏好显著高于基于手势的注视控制系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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