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Modelling and evaluating drivers’ interactions with in-vehicle information systems (IVIS)

机译：建模和评估驾驶员与车载信息系统（IVIs）的互动

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摘要

Evaluating the usability of In-Vehicle Information Systems (IVIS) guides engineers in understanding the interaction design limitations of current systems and assessing the potential of concept technologies. The complexity and diversity of the driving task presents a unique challenge in defining usability: user-IVIS interactions create a dual-task scenario, in which conflicts can arise between the primary driving tasks and secondary IVIS tasks. This, and the safety-critical nature of driving, must be specified in defining and evaluating IVIS usability.Work was carried out in the initial phases of this project to define usability for IVIS and to develop a framework for evaluation. One of the key findings of this work was the importance of context-of-use in defining usability, so that specific usability criteria and appropriate evaluation methods can be identified. The evaluation methods in the framework were categorised as either analytic, i.e. applicable at the earliest stages of product development to predict performance and usability; or empirical, i.e. to measure user performance under simulated or real-world conditions. Two case studies have shown that the evaluation framework is sensitive to differences between IVIS and can identify important usability issues, which can be used to inform design improvements.The later stages of the project have focussed on Multimodal Critical Path Analysis (CPA). Initially, CPA was used to predict IVIS task interaction times for a stationary vehicle. The CPA model was extended to produce fastperson and slowperson task time estimates, as well as average predictions. In order for the CPA to be of real use to designers of IVIS, it also needed to predict dual-task IVIS interaction times, i.e. time taken to perform IVIS tasks whilst driving. A hypothesis of shared glances was developed, proposing that drivers are able to monitor two visual information sources simultaneously. The CPA technique was extended for prediction of dual-task interaction times by modelling this shared glance pattern. The hypothesis has important implications for theories of visual behaviour and for the design of future IVIS.
机译：评估车载信息系统（IVIS）的可用性可指导工程师了解当前系统的交互设计局限性，并评估概念技术的潜力。驾驶任务的复杂性和多样性在定义可用性方面提出了独特的挑战：用户与IVIS的交互创建了双重任务方案，在这种情况下，主要驾驶任务和次要IVIS任务之间可能会发生冲突。在定义和评估IVIS可用性时，必须明确说明这一点以及驾驶的安全性。在该项目的初始阶段就开展了工作，以定义IVIS的可用性并建立评估框架。这项工作的主要发现之一是使用上下文在定义可用性方面的重要性，因此可以确定特定的可用性标准和适当的评估方法。框架中的评估方法分为分析性，即适用于产品开发的最早阶段以预测性能和可用性；或经验，即在模拟或现实条件下衡量用户表现。两个案例研究表明，评估框架对IVIS之间的差异很敏感，可以识别重要的可用性问题，这些问题可用于指导设计改进。该项目的后期阶段集中在多模式关键路径分析（CPA）上。最初，CPA用于预测固定车辆的IVIS任务交互时间。扩展了CPA模型，以生成快人和慢人任务时间估计以及平均预测。为了使CPA真正适用于IVIS的设计人员，还需要预测双任务IVIS交互时间，即在驾驶时执行IVIS任务所花费的时间。建立了共享视线的假设，提出驾驶员能够同时监视两个视觉信息源。通过对这种共享的扫视模式进行建模，将CPA技术扩展到了双任务交互时间的预测。该假设对视觉行为理论和未来的IVIS设计具有重要意义。

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    Harvey C.;

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  • 年度 2011
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  • 正文语种 {"code":"en","name":"English","id":9}
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