Influence of Hmi Ergonomy on Drivers in Cooperative Systems Area

Jizba, Tomáš

doi:10.14311/app.2017.12.0042

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The next article [18] is aimed at the effect of HMI on driver perception. It compares two basic HMI modes: one-stage, i.e., informing about only one event (the one with the highest priority), or three-stage, i.e., informing about several events.…”

Section: State Of the Artmentioning

confidence: 99%

Methodology of Functional and Technical Evaluation of Cooperative Intelligent Transport Systems and Its Practical Application

et al. 2021

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In the area of smart cities, great emphasis is placed on many different fields such as energetics, information systems, and transportation. All of these should lead to a simplification of life thanks to smart technologies. If we talk about the transportation field, the main issues related to this area are safety, traffic efficiency, or the environment. Another condition is the successful acceptance of any new technology by its users. Cooperative systems prove to be a suitable solution for these issues, especially in urban areas. Today, pilot implementations of cooperative systems in European countries are being carried out. However, before they are put into full operation, they need to be tested, evaluated, and assessed. This article focuses on the latter two points, i.e., evaluation and assessment of the cooperative systems. For this purpose, a methodology was created, which describes the procedure chosen in the evaluation and assessment of cooperative systems in the Czech Republic and a demonstration of its use by example. The methodology is focused on three main areas, which in this case are functional evaluation, user acceptance, and impact assessment. For the area of user acceptance, the main source was questionnaires, impact assessment relied on measured data while functional evaluation was based on discussions with the drivers, evaluating the cooperative systems, the measured data, and the expert observations. All collected and measured data were then processed and some of the results of the evaluation of the selected service are presented at the end of this article.

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Section: State Of the Artmentioning

confidence: 99%

Methodology of Functional and Technical Evaluation of Cooperative Intelligent Transport Systems and Its Practical Application

et al. 2021

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Workload Measures—Recent Trends in the Driving Context

Costa

Pereira

et al. 2019

Studies in Systems, Decision and Control

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Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics

et al. 2021

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Acceptance intuitively is a precondition for the adaptation and use of technology. In this systematic review, we examine academic literature on the “simple scale for acceptance measurement” provided by Van der Laan, Heino, and de Waard (1997). This measure is increasingly applied in research on mobility systems without having been thoroughly analysed. This article aims to provide such a critical analysis. We identified 437 unique references in three aggregated databases and included 128 articles (N = 6,058 participants) that empirically applied the scale in this review. The typical study focused on a mobility system using a within-subjects design in a driving simulator in Europe. Based on quality indicators of transparent study aim, group allocation procedure, variable definitions, sample characteristics, (statistical) control of confounders, reproducibility, and reporting of incomplete data and test performance, many of the 128 articles exhibited room for improvements (44% below.50; range 0 to 1). Twenty-eight studies (22%) reported reliability coefficients providing evidence that the scale and its sub-scales produce reliable results (median Cronbach’s α >.83). Missing data from the majority of studies limits this conclusion. Only 2 out of 10 factor analyses replicated the proposed two-dimensional structure questioning the use of these sub-scales. Correlation results provide evidence for convergent validity of acceptance, usefulness, and satisfying with limited confidence, since only 14 studies with a median sample size of N = 40 reported correlation coefficients. With these results, the scale might be a valuable addition for technology attitude research. Firstly, we recommend thorough testing for a better understanding of acceptance, usefulness, and satisfying. Secondly, we suggest to report scale results more transparently and rigorously to enable meta-analyses in the future. The study protocol is available at the Open Science Framework (https://osf.io/j782c/).

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Influence of Hmi Ergonomy on Drivers in Cooperative Systems Area

Cited by 3 publications

References 6 publications

Methodology of Functional and Technical Evaluation of Cooperative Intelligent Transport Systems and Its Practical Application

Methodology of Functional and Technical Evaluation of Cooperative Intelligent Transport Systems and Its Practical Application

Workload Measures—Recent Trends in the Driving Context

Method-oriented systematic review on the simple scale for acceptance measurement in advanced transport telematics

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