Feasibility Analysis and Investigation of the User Acceptance of a Preventive Information System to Increase the Road Safety of Cyclists

Winzer, Oliver M.; Dietrich, André; Tondera, Michael; Hera, Christoph; Eliseenkov, Peter; Bengler, Klaus

doi:10.1007/978-3-030-27928-8_36

Cited by 2 publications

(3 citation statements)

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“…Klaus Bengler's main research focus is on information interaction inside and outside the vehicle and the autonomous driving takeover process. In addition, Klaus Bengler has collaborated with André Dietrich to study user acceptance of a preventive Car-2-X communication system that can effectively avoid potential collisions between drivers and pedestrians [8]. Finally, Klaus Bengler also collaborated with Michael Rettenmaier to study the information transfer between the human-machine interface inside and outside the vehicle.…”

Section: Author Collaboration Networkmentioning

confidence: 99%

“…The results showed that the high visual feedback group had the highest trust level, and this difference was significantly higher than that of the group without visual feedback [16]. In terms of communication alerts, Oliver M. Winzer et al developed a user-centered HMI alert system that can help drivers avoid potential collisions with cyclists [8]. In terms of assisted driving, Sofia Sánchez-Mateo et al, proposed a merge assist system based on inter-vehicle communication that allows the sharing of position and speed variables between vehicles.…”

Section: Keyword Clusteringmentioning

confidence: 99%

“…Ultimately, they concluded that the two collaborate to achieve the best transfer effect [23]. In terms of early warning, Oliver M. Winzer et al investigated the user acceptance of a preventive Car-2-X communication warning system that helps drivers avoid potential collisions with cyclists [8]. In terms of prognosis, Pavlo Bazilinskyy et al developed various algorithms based on a test lane; maintaining a normal position while using the predicted position of the instantaneous steering angle to provide drivers with the appropriate auditory feedback, thereby reducing the occurrence of certain traffic accidents [24].…”

Section: Keyword Clusteringmentioning

confidence: 99%

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A Study of Bibliometric Trends in Automotive Human–Machine Interfaces

Zhou

Liao

2022

Sustainability

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With the development of autonomous driving technology and the internet, automotive human–machine interface (HMI) technology has become an important part of contemporary automotive design. Currently, global automakers are designing a variety of innovative in-car HMIs that illustrate the direction of automotive design in the new era from the perspective of technological aesthetics and experience design. However, sleek designs and innovative experience methods must be built on the basis of safety. Therefore, it is necessary to summarize existing research in the field of automotive HMI and construct a literature review of automotive design research. In this paper, literature on automotive HMI from the Scopus database was analyzed using bibliometric methods such as descriptive analysis, keyword co-occurrence, and literature co-citation network analysis. The final mapping analysis revealed that the current automotive HMI research literature primarily focuses on user research, interface research, external environment research, and technology implementation research related to automotive HMI. The three main stages of automotive HMI research include conceptual construction, system and technology refinement, and user perception research from the perspective of driver assistance and information recognition. Additionally, burst detection suggests that future research should focus on driver assistance, trust levels, and e-HMI information communication.

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Section: Author Collaboration Networkmentioning

confidence: 99%

Section: Keyword Clusteringmentioning

confidence: 99%

Section: Keyword Clusteringmentioning

confidence: 99%

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A Study of Bibliometric Trends in Automotive Human–Machine Interfaces

Zhou

Liao

2022

Sustainability

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Cyclists and autonomous vehicles at odds

Gaio

Cugurullo

2022

AI & Soc

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Consequential historical decisions that shaped transportation systems and their influence on society have many valuable lessons. The decisions we learn from and choose to make going forward will play a key role in shaping the mobility landscape of the future. This is especially pertinent as artificial intelligence (AI) becomes more prevalent in the form of autonomous vehicles (AVs). Throughout urban history, there have been cyclical transport oppressions of previous-generation transportation methods to make way for novel transport methods. These cyclical oppressions can be identified in the baroque and modernist periods, and a third oppression may occur in the contemporary period. To explore the idea of a third oppression, we focus on the bicycle and outline the history of cycling to understand how historical mode oppression unfolded. We then present several social and political factors that contributed to the oppression of cycling and share recommendations for how to avoid future oppressions including political, social, and design actions for researchers and policymakers to take. This paper argues that priorities for AI-enabled mobility and cyclist needs be advanced in proportion to the extent that they contribute to societal goals of urban containment, public realm, and proximal cities. Additionally, future mobility evolutions should prioritise mobility justice and mode choice over inducing a singular transportation method.

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Feasibility Analysis and Investigation of the User Acceptance of a Preventive Information System to Increase the Road Safety of Cyclists

Cited by 2 publications

References 4 publications

A Study of Bibliometric Trends in Automotive Human–Machine Interfaces

A Study of Bibliometric Trends in Automotive Human–Machine Interfaces

Cyclists and autonomous vehicles at odds

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