When more is less: Finding the optimal balance of intelligent agents’ transparency in level 3 automated vehicles

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2024-10-12 DOI:10.1016/j.ijhcs.2024.103384

Jing Zang, Myounghoon Jeon

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引用次数: 0

Abstract

In automated vehicles, transparency of in-vehicle intelligent agents (IVIAs) is an important contributor to drivers’ perception, situation awareness, and driving performance. Our experiment focused on IVIA's transparency regarding information level and reliability on drivers’ perception and performance in level 3 automated vehicles. A 3 × 2 mixed factorial design was used in this study, with transparency (low, medium, high) as a between-subject variable and reliability (high vs. low) as a within-subjects variable. Forty-eight participants were recruited. Results suggested that transparency influenced drivers’ takeover time, lane keeping, and jerk. The high-reliability agent was associated with a higher perception of system accuracy and response speed and resulted in a longer takeover time than the low-reliability agent. Particularly, participants in medium transparency showed higher cognitive trust, lower workload, and higher situation awareness only when system reliability was high. Our findings can contribute to the advancement of intelligent agent transparency design in automated vehicles.

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当多则少：在第三级自动驾驶汽车中寻找智能代理透明度的最佳平衡点

在自动驾驶车辆中，车载智能代理（IVIA）的透明度对驾驶员的感知、情况意识和驾驶性能有重要影响。我们的实验重点研究了 IVIA 在信息级别和可靠性方面的透明度对驾驶员在 3 级自动驾驶车辆中的感知和表现的影响。本研究采用了 3 × 2 混合因子设计，透明度（低、中、高）为主体间变量，可靠性（高与低）为主体内变量。共招募了 48 名参与者。结果表明，透明度会影响驾驶员的接管时间、车道保持和颠簸。与低可靠性代理相比，高可靠性代理对系统准确性和响应速度的感知更高，导致接管时间更长。特别是，只有当系统可靠性高时，中等透明度的参与者才会表现出更高的认知信任、更低的工作量和更高的情境意识。我们的研究结果有助于推动自动驾驶汽车中智能代理透明度设计的发展。

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

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...