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Enhancing Perception of Risk Objects for Car Drivers Through Augmented Reality Glasses

Authors:

Marieke MartensAuthors Info & Claims

AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Pages 83 - 86

https://doi.org/10.1145/3581961.3609870

Published: 18 September 2023 Publication History

Abstract

In complex driving scenarios, drivers often face the challenge of making quick decisions regarding the safety of crossing intersections or entering roundabouts. These decisions, prone to human error, can compromise road safety and driving efficiency. The recent advancements in augmented reality (AR) glasses hold significant potential for assisting drivers in avoiding such dangers. Unlike traditional AR heads-up displays (HUDs), AR glasses provide a larger field-of-view. While previous research has proposed various driving-assistance concepts using simulated displays, only a few have explored actual implementation or experimentation with real AR glasses. This study introduces a novel concept of visualizing risks through AR for driving assistance systems. We have designed and implemented two different interfaces specifically tailored for real AR glasses, integrating them into a driving simulator system. To evaluate the effectiveness of AR glasses in driving assistance, we plan to conduct experiments based on this platform in the future.

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Cited By

Wang CChu DMartens M(2025)ARive: Assisting Drivers with In-Car Augmented Reality for Risk Zone DetectionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/37122709:1(1-27)Online publication date: 3-Mar-2025
https://dl.acm.org/doi/10.1145/3712270

Index Terms

Enhancing Perception of Risk Objects for Car Drivers Through Augmented Reality Glasses
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Mixed / augmented reality

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cover image ACM Conferences

AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2023

382 pages

ISBN:9798400701122

DOI:10.1145/3581961

Copyright © 2023 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2023

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AutomotiveUI '23

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SIGCHI

AutomotiveUI '23: 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 18 - 22, 2023

Ingolstadt, Germany

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Overall Acceptance Rate 248 of 566 submissions, 44%

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17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 21 - 25, 2025

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Cited By

Wang CChu DMartens M(2025)ARive: Assisting Drivers with In-Car Augmented Reality for Risk Zone DetectionProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/37122709:1(1-27)Online publication date: 3-Mar-2025
https://dl.acm.org/doi/10.1145/3712270

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