Designing in-vehicle signs for connected vehicle features: Does appropriateness guarantee comprehension?

Payre, William; Diels, Cyriel

doi:10.1016/j.apergo.2019.05.006

Cited by 11 publications

(10 citation statements)

References 16 publications

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“…The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures [ 48 ]. Furthermore, the approach can also be applied and extended for evaluating other medical icons [ 49 , 50 ], safety icons, disaster-related prevention icons [ 51 ], transportation-related icons [ 52 , 53 ], and even entertainment-related icons [ 54 , 55 , 56 , 57 , 58 ].…”

Section: Discussionmentioning

confidence: 99%

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

et al. 2021

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Icons have been widely utilized to describe and promote COVID-19 prevention measures. The purpose of this study was to analyze the preference and subjective design features of 133 existing icons associated with COVID-19 prevention measures published by the health and medical organizations of different countries. The 133 icons represent nineteen different function names, such as “Wash Hands” and “Wear Face Mask”. A total of 57 participants were recruited to perform two different tests: ranking test and subjective rating test. The ranking test was conducted to elicit the preference ranking of seven icon designs representing each function name. It was followed by a subjective rating test using 13 semantic scales on the two most preferred icons to analyze their perceived quality. Spearmen correlation was applied to derive the possible correlations between users’ rankings and the semantic scales, and Friedman’s test was also performed to determine the true difference between ranking in terms of each semantic scale to provide a fully meaningful interpretation of the data. Generally, findings from the current study showed that the image presented in the icon is the key point that affects the icons’ perceived quality. Interestingly, Spearman’s correlation analysis between preference ranking and semantic scales showed that vague–clear, weak–strong, incompatible–compatible, and ineffective–effective were the four strongest semantic scales that highly correlated with the preference ranking. Considering the significant relationships between the semantic distances and the functions, images depicted in an icon should be realistic and as close as possible to its respected function to cater to users’ preferences. In addition, the results of Spearman’s correlation and Friedman’s test also inferred that compatibility and clarity of icon elements are the main factors determining a particular icon’s preferability. This study is the first comprehensive study to evaluate the icons associated with the COVID-19 prevention measures. The findings of this study can be utilized as the basis for redesigning icons, particularly for icons related to COVID-19 prevention measures. Furthermore, the approach can also be applied and extended for evaluating other medical icons.

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Section: Discussionmentioning

confidence: 99%

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

et al. 2021

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“…Both methodologies were compared using the MITSIM simulation software with a variety of traffic and communication specifications [83]. In another study, Payre et al [84] present the design and assessment of in-vehicle signs shown on the smartphone to applications including EEBL, electronic-vehicle warning (EVW), traffic-condition warning, and road-work warning. They evaluated their design using quantitative and qualitative techniques.…”

Section: Emergency Electronic Brake Light Warning (Eebl)mentioning

confidence: 99%

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Abdelkader

Elgazzar

Khamis

2021

Sensors

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In an effort to reach accident-free milestones or drastically reduce/eliminate road fatalities rates and traffic congestion and to create disruptive, transformational mobility systems and services, different parties (e.g., automakers, universities, governments, and road traffic regulators) have collaborated to research, develop, and test connected vehicle (CV) technologies. CVs create new data-rich environments and are considered key enablers for many applications and services that will make our roads safer, less congested, and more eco-friendly. A deeper understanding of the CV technologies will pave the way to avoid setbacks and will help in developing more innovative applications and breakthroughs. In the CV paradigm, vehicles become smarter by communicating with nearby vehicles, connected infrastructure, and the surroundings. This connectivity will be substantial to support different features and systems, such as adaptive routing, real-time navigation, and slow and near real-time infrastructure. Further examples include environmental sensing, advanced driver-assistance systems, automated driving systems, mobility on demand, and mobility as a service. This article provides a comprehensive review on CV technologies including fundamental challenges, state-of-the-art enabling technologies, innovative applications, and potential opportunities that can benefit automakers, customers, and businesses. The current standardization efforts of the forefront enabling technologies, such as Wi-Fi 6 and 5G-cellular technologies are also reviewed. Different challenges in terms of cooperative computation, privacy/security, and over-the-air updates are discussed. Safety and non-safety applications are described and possible future opportunities that CV technology brings to our life are also highlighted.

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“…Yet, this does not rule out the possibility that a symbol designed before 2004 or 2013 does not correspond exactly to what the customers need today, ADASs being more numerous and more advanced than they were then. Understandably, symbols judged appropriate by the ISO are not guaranteed to be understood nor preferred by everyone given the difficulty to represent such complex systems in a single symbol; see Sayer and Green (1988) or Payre and Diels (2019) for instance. A comparison between the method used by the ISO to produce candidate symbols and a focus group method suggests that the user-centred approach (UCD; the second method)-that is, considering users' need-would be more efficient and more effective to produce meaningful symbols (Macbeth et al 2006).…”

Section: The Issues With Acc and Lka Symbolsmentioning

confidence: 99%

User-centred design evaluation of symbols for adaptive cruise control (ACC) and lane-keeping assistance (LKA)

2021

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Advanced driving assistance systems (ADAS) are now numerous, each relieving drivers of their responsibility for the control of different aspects of the driving task. Notably, adaptive cruise control (ACC) for longitudinal control, or lane departure prevention (LDP) and lane centring control (LCC) for lateral control, two variations of the lane-keeping assistance (LKA) system. Drivers must familiarise themselves with various symbols to correctly identify and activate the system they wish to be using and the existing standard graphical symbols for ACC and LKA are often replaced by manufacturers in favour of their own symbols. With a user-centred approach in mind, we previously conducted a focus group where drivers were invited to design their own symbols and discuss those symbols currently in-use. In the present research, we administered an online survey and analysed the responses from 328 drivers regarding different levels of knowledge about ADAS, to evaluate the usability of a selection of these symbols. Our results indicate that the standard ACC symbol would not be the most suitable of the four symbols tested, whereas, the standard LKA/LDP symbol was greatly confused with any of the four LCC symbols we tested, especially if hands were present on the symbol. Finally, drivers without prior knowledge of ADAS had more difficulties interpreting those symbols in general. Considerations for the development and evaluation of graphical symbols are discussed.

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Designing in-vehicle signs for connected vehicle features: Does appropriateness guarantee comprehension?

Cited by 11 publications

References 16 publications

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

The Evaluation of Preference and Perceived Quality of Health Communication Icons Associated with COVID-19 Prevention Measures

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

User-centred design evaluation of symbols for adaptive cruise control (ACC) and lane-keeping assistance (LKA)

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