Current Challenges in Compositing Heterogeneous User Interfaces for Automotive Purposes

Holstein, Tobias; Wallmyr, Markus; Wietzke, Joachim; Land, Rikard

doi:10.1007/978-3-319-20916-6_49

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…One method is to combine different information providers together. However, as described by Holstein et al, there are challenges in building homogenous interfaces consisting of a diversified set of haptic and visual interfaces and software providers [34]. Sanches et al state that "the need for research that informs the design of effective, intuitive, and efficient displays is a pressing one."…”

Section: Discussionmentioning

confidence: 99%

Seeing Through the Eyes of Heavy Vehicle Operators

Wallmyr

2017

Lecture Notes in Computer Science

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Interaction Designers of heavy vehicles are challenged by two opposing forces, the increasingly information-driven systems resulting in higher visual load, and a must to support a focus on the area of operation. To succeed in the interaction design and application of new technology, a good understanding of the user and the activity is needed. However, field studies are related with substantial efforts for both researcher and operator. This paper investigates and shows how quick non-intrusive studies can be held, by bridging practice from one HCI area into another, i.e. applying guerilla testing approaches used in mobile and web development into the heavy vehicles domain, an area not used to this practice. An exploratory study is performed, on a diverse set of vehicles in the field. This study describes and presents examples how both qualitative and quantitative conclusions can be extracted on the user attentiveness to digital systems and surrounding.

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Section: Discussionmentioning

confidence: 99%

Seeing Through the Eyes of Heavy Vehicle Operators

Wallmyr

2017

Lecture Notes in Computer Science

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“…The introduction of AVs and V2X networks, though, may create the potential for spatial malware clustering. By removing the need to pay attention to the road, AVs will allow drivers to conduct Internet browsing activity that increases malware infection risk (like pirating media or viewing pornography) ( 30 ) that falls outside the limited browsing options vehicle infotainment systems offer today ( 31 ). Further, the deployment of RSUs to form V2I networks, though designed to improve safety, will introduce immobile information broadcast points that could infect vehicles driving within RSU signal range.…”

Section: Av Malware Threatsmentioning

confidence: 99%

Spatially Clustered Autonomous Vehicle Malware: Producing New Urban Geographies of Inequity

Vassallo

Manaugh

2018

Transportation Research Record: Journal of the Transportation R

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Malicious software (malware) is both a hurdle to autonomous vehicle (AV) adoption and a serious threat to AV occupant safety. Yet, to date, the topic of how subnational transportation decision makers should handle this cybersecurity threat has been underexplored. This paper describes how malware can spread through vehicle-to-X networks and infect AVs to a non-technical planning audience. It then explains how AV malware can cluster spatially in linguistic, socioeconomic, and political enclaves of American cities. Since AVs can identify new indicators of safety imperceptible to humans, malware clusters can produce new geographies of accessibility, mobility, economic, and environmental inequity across a city. In provisioning the inherently localized technical malware prevention tools available to them, subnational transportation planners have the capacity to reproduce or overcome historical and current transportation system inequities.

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Towards an Architecture for an UI-Compositor for Multi-OS Environments

Holstein

Wietzke

2016

Software Architecture

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Current Challenges in Compositing Heterogeneous User Interfaces for Automotive Purposes

Cited by 8 publications

References 12 publications

Seeing Through the Eyes of Heavy Vehicle Operators

Seeing Through the Eyes of Heavy Vehicle Operators

Spatially Clustered Autonomous Vehicle Malware: Producing New Urban Geographies of Inequity

Towards an Architecture for an UI-Compositor for Multi-OS Environments

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