Human–Vehicle Cooperation in Automated Driving: A Multidisciplinary Review and Appraisal

Biondi, Francesco; Álvarez, Ignacio; Jeong, Kyeong-Ah

doi:10.1080/10447318.2018.1561792

Cited by 94 publications

(44 citation statements)

References 56 publications

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“…with ACC and LKA technology), which are governed by simpler control mechanisms and encompass a limited decision making process. Higher level systems, that may be closer to autonomous driving, will require more complex decision making technology, of which much is expected to come from Artificial Intelligence (AI) [21,26,27]. This in itself is a broad and yet uncertain discussion that is ongoing in scientific and technical communities and is also of relevance.…”

Section: A Case and Model Discussionmentioning

confidence: 99%

A Conceptual Control System Description of Cooperative and Automated Driving in Mixed Urban Traffic With Meaningful Human Control for Design and Evaluation

Calvert

Mecacci

2020

IEEE Open J. Intell. Transp. Syst.

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The introduction of automated vehicles means that some or all operational control over these vehicles is diverted away from a human driver to a technological system. The concept of Meaningful Human Control (MHC) was derived to address control issues over automated systems, allowing a system to explicitly consider human intentions and reasons. Applying MHC to technological systems, such as automated driving is a real challenge, and the main focus of this paper. An approach with mathematical elaboration has been developed that offers a first quantifiable operationalisation of MHC for the traffic domain and for use with automated vehicles. A major contribution lies in the taxonomification of control for MHC in the broader traffic environment, including consideration of the driver, the vehicle, the traffic environment, considering behaviour, moral standards and societal values, which are considered in a case study. The demonstration case shows the validity of the developed approach for an automated vehicle overtaking a cyclist on an urban street. This paper is one of the first to operationalise MHC to such a level of detail and opens the door to further development of the concept for technological implementation.

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Section: A Case and Model Discussionmentioning

confidence: 99%

A Conceptual Control System Description of Cooperative and Automated Driving in Mixed Urban Traffic With Meaningful Human Control for Design and Evaluation

Calvert

Mecacci

2020

IEEE Open J. Intell. Transp. Syst.

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show abstract

“…The automation of driving, ranging from assistance systems to envisaged fully autonomous vehicles will also result in changing roles and a distribution of tasks and information between drivers and systems. Biondi et al (2019) have already provided an understanding of human-vehicle cooperation in automated driving, even detecting changes in responsibility and authority between passengers and also automated systems. They state that driving will be transferred to a more transportation-as-a-service system while demands on the driver's attention will be reduced.…”

Section: Related Workmentioning

confidence: 99%

Warning Apps for Road Safety: A Technological and Economical Perspective for Autonomous Driving – The Warning Task in the Transition from Human Driver to Automated Driving

Trager

Kalová

Pagany

et al. 2021

International Journal of Human–Computer Interaction

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In the last decade, mobile warning apps and security services for drivers were developed, driven by the evolving market for smartphone-based applications. Now, in times of emerging autonomous vehicles, the value of warning detection in form of warning apps for road transport needs to be reappraised. In our study, we address the following questions: Does this kind of application have a technological and economical perspective for future mobility? How will the interaction between drivers, information systems (smartphone or onboard computer), and driving systems change? In this article, we bring together the aspects to consider in terms of technology development and business modeling amidst a changing human-computer interaction (HCI) toward autonomous driving. We provide a comprehensive picture of how technology-driven applications, such as warning detection apps, could develop their economic and technological impact within the transition of individual transport. By classifying the warning apps available in German-speaking regions it became apparent that apps exist for diverse areas of risk. Some of them are currently under development, others are already in use, but still with minor operational deficits. We found out that till today, the majority of warning services provides either an interim solution with a standalone mobile app, or a first test stage approach for prospective mobility solutions, only working on the basis of a car-to-car or car-to-pedestrian communication. Nevertheless, the effectiveness of warning apps was exemplarily proven by a survey about the Wildwarner, an app for wildlife-vehicle collision warnings. Looking ahead, warning-service-usage scenarios (1) without driving assistance, (2) with driving assistance and (3) fully autonomous driving are gone through, showing the still important but altered interactions between humans, warning information systems, and automated driving systems. From an economical perspective, already existing business models for warning services are identified and evaluated according to whether they could be transferred to business models for future mobility under changing ways of user interaction. The analysis of existing established warning apps indicates that more integrated approaches combining different warning types and delivering them as services either for autonomous vehicle navigation or human drivers ought to be supported for increasing road safety.

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“…We have raised Licklider's use of the term "computer" to a more general level to ensure our conceptualization would be independent of instantiations. In our literature search, we uncovered works that focus on the symbiosis between humans and robots, AI, vehicles, and instruments [7,24,35,40]. It is conceivable that there are many other instantiations of HMS.…”

Section: Limitations and Further Researchmentioning

confidence: 99%

Conceptualization of the Human-Machine Symbiosis – A Literature Review

Gerber¹,

Derckx²,

Döppner

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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The vision of a symbiotic partnership between humans and machines has existed since the 1960s. With this paper we provide the first conceptualization of the human-machine symbiosis (HMS) and make three important contributions: we present the fundamentals of HMS by focusing on objectives, requirements, and boundaries; we propose a framework for the design of HMS; and we review HMS research and, specifically, what the literature says with respect to whether HMS has already been achieved.

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Human–Vehicle Cooperation in Automated Driving: A Multidisciplinary Review and Appraisal

Cited by 94 publications

References 56 publications

A Conceptual Control System Description of Cooperative and Automated Driving in Mixed Urban Traffic With Meaningful Human Control for Design and Evaluation

A Conceptual Control System Description of Cooperative and Automated Driving in Mixed Urban Traffic With Meaningful Human Control for Design and Evaluation

Warning Apps for Road Safety: A Technological and Economical Perspective for Autonomous Driving – The Warning Task in the Transition from Human Driver to Automated Driving

Conceptualization of the Human-Machine Symbiosis – A Literature Review

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