The role of individual differences in human-automated vehicle interaction

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Christopher R. Fisher , Megan B. Morris , Christopher A. Stevens , Garrett Swan
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引用次数: 0

Abstract

As more automation is integrated into vehicles, understanding how humans interact with these new technologies is becoming increasingly important given the high cost of errors. Cognitive models have the potential to provide insights into human-automated vehicle interaction and inform risk assessment, user interface design, and risk mitigation interventions. We argue that accounting for individual differences is necessary in order to derive the full benefits of cognitive models. We describe several methods for modeling individual differences and demonstrate potential pitfalls of using a one-size-fits-all model. In addition, we explain how modeling individual differences is important for risk assessment, designing robust user interfaces and automated systems, and designing effective risk mitigation interventions. Finally, we use a simulation study to demonstrate possible benefits of modeling individual differences in unmanned vehicle management.

个体差异在人机交互中的作用
随着越来越多的自动化技术集成到汽车中,考虑到高昂的错误成本,了解人类如何与这些新技术互动变得越来越重要。认知模型有可能为人类与自动驾驶汽车的互动提供见解,并为风险评估、用户界面设计和风险缓解干预提供信息。我们认为,要充分发挥认知模型的优势,就必须考虑个体差异。我们介绍了几种为个体差异建模的方法,并展示了使用 "一刀切 "模型的潜在隐患。此外,我们还解释了个体差异建模对于风险评估、设计强大的用户界面和自动化系统以及设计有效的风险缓解干预措施的重要性。最后,我们利用一项模拟研究来证明在无人驾驶车辆管理中建立个体差异模型可能带来的益处。
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来源期刊
International Journal of Human-Computer Studies
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 ...
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