Augmenting Human Hazard Situational Awareness With Haptic Interface for Heterogeneous Autonomous Vehicles

IF 4.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Yang Xing;Ziyue Wang;Xiangqi Kong;Weisi Guo;Antonios Tsourdos
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引用次数: 0

Abstract

As vehicle autonomy increases, human operators become more susceptible to distractions and a loss of situational awareness (SA) due to cognitive limitations. Rapidly enhancing human SA in hazardous situations is, therefore, critical for timely hazard perception and collision avoidance, particularly in human-vehicle teaming contexts that demand fast, accurate hazard reasoning. This study evaluates the efficiency of a low-cost vibrotactile interface for enhancing hazard SA of human operators when teaming with heterogeneous autonomous vehicles, including both ground and aerial autonomous vehicles. To do so, we evaluate the effectiveness of a vibrotactile interface in challenging time-critical scenarios considering adversarial attacks to better understand the cognitive constraints faced by human operators. Our quantitative analysis, based on the data collected from 39 participants, demonstrates that: first, haptic cues can significantly enhance human hazard SA across various metrics for the ground and aerial scenarios; second, perception of aerial attacks in a 3-D environment is more challenging than ground risk perception.
基于触觉界面增强异构自动驾驶车辆的人类危险情境感知
随着车辆自主性的提高,由于认知限制,人类操作员变得更容易分心和失去态势感知(SA)。因此,在危险情况下快速增强人类SA对于及时感知危险和避免碰撞至关重要,特别是在需要快速、准确的危险推理的人车团队环境中。本研究评估了一种低成本振动触觉界面的效率,该界面在与异构自动驾驶车辆(包括地面和空中自动驾驶车辆)合作时,可以提高人类操作员的危险SA。为此,我们评估了振动触觉界面在具有挑战性的时间关键场景下的有效性,考虑到对抗性攻击,以更好地理解人类操作员面临的认知约束。基于39名参与者收集的数据,我们的定量分析表明:首先,触觉线索可以显著提高地面和空中场景中各种指标的人类危险SA;其次,在三维环境中对空袭的感知比对地面风险的感知更具挑战性。
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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来源期刊
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
7.10
自引率
11.10%
发文量
136
期刊介绍: The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.
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