Utility assessment in automated driving for cooperative human–machine systems

Altendorf, Eugen; Schreck, Constanze; Weßel, Gina; Canpolat, Yigiterkut; Flemisch, Frank

doi:10.1007/s10111-019-00557-4

Cited by 10 publications

(7 citation statements)

References 23 publications

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“…In the field of autonomous driving, understanding the experiences of human drivers -an important part of future traffic by working alongside automation systems -will contribute to future research in human-autonomy interactions and challenges posed by automation [2,63]. Previous studies have explored drivers' experiences, perspectives, attitudes, and acceptance of autonomous systems.…”

Section: From Driver Experiences To Autonomy Experiencesmentioning

confidence: 99%

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences

Chu

Zong

Shu

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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The development of Autonomous Vehicle (AV) has created a novel job, the safety driver, recruited from experienced drivers to supervise and operate AV in numerous driving missions. Safety drivers usually work with non-perfect AV in high-risk real-world traffic environments for road testing tasks. However, this group of workers is under-explored in the HCI community. To fill this gap, we conducted semi-structured interviews with 26 safety drivers. Our results present how safety drivers cope with defective algorithms and shape and calibrate their perceptions while working with AV. We found that, as front-line workers, safety drivers are forced to take risks accumulated from the AV industry upstream and are also confronting restricted self-development in working for AV development. We contribute the first empirical evidence of the lived experience of safety drivers, the first passengers in the development of AV, and also the grassroots workers for AV, which can shed light on future human-AI interaction research.

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Section: From Driver Experiences To Autonomy Experiencesmentioning

confidence: 99%

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences

Chu

Zong

Shu

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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“…4). Applied to vehicles, this can lead to shared and cooperative guidance and control, as described, e.g., by Altendorf et al (2019) in this issue.…”

Section: From Shared Control To Cooperative Guidance and Control And mentioning

confidence: 99%

“…To demonstrate what can be done with the framework, a couple of short examples will be presented. In this issue, Altendorf et al (2019) apply the framework presented above to modeling utility functions for driving with ADAS. In their approach, the authors emphasize that human and machine together form a single system with joint utility, even though each subsystem brings in different norms and values (see Fig.…”

Section: Examples Of Shared and Cooperative Control Concepts In The Fmentioning

confidence: 99%

Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human–machine cooperation, cooperative guidance and control, shared, traded and supervisory control

et al. 2019

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To introduce this special issue of shared and cooperative control, we will look into history of tools in cooperation between humans and aim to unify the plethora of related concepts and definitions that have been proposed in recent years, such as shared control, human-machine cooperation and cooperative guidance and control. Concretely, we provide definitions to relate these concepts and sketch a unifying framework of shared and cooperative control that sees the different concepts as different perspectives or foci on a common design space of shared intentionality, control and cooperation between humans and machines. One working hypothesis which the article explores is that shared control can be understood as cooperation at the control layer, while human-machine cooperation can include shared control, but can also extend towards cooperation at higher layers, e.g., of guidance and navigation, of maneuvers and goals. The relationship between shared control and humanmachine cooperation is compared to the relationship between the sharp, pointy tip and the (blunt) shaft of a spear. Shared control is where cooperation comes sharply into effect at the control layer, but to be truly effective it should be supported by cooperation on all layers beyond the operational layer, e.g., on the tactical and strategic layer. A fourth layer addresses the meta-communication about the cooperation and supports the other three layers in a traversal way.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…CPS bring new opportunities as well as significant challenges, especially when it comes to their industrial application (Monostori 2014;Colombo et al 2017;Pacaux-Lemoine et al 2017). One such grand challenge is the interaction with the humans (Albaba and Yildiz 2019;Altendorf et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Engineering ethical behaviors in autonomous industrial cyber-physical human systems

Trentesaux

Karnouskos

2021

Cogn Tech Work

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This paper addresses the engineering of the ethical behaviors of autonomous industrial cyber-physical human systems in the context of Industry 4.0. An ethical controller is proposed to be embedded into these autonomous systems, to enable their successful integration in the society and its norms. This proposed controller that integrates machine ethics is realized through three main strategies that utilize two ethical paradigms, namely deontology, and consequentialism. These strategies are triggered according to the type of event sensed and the state of the autonomous industrial cyber-physical human systems, their combination being potentially unknown or posing ethical dilemmas. Two case studies are investigated, that deal with a fire emergency, and two different contexts i.e. one with an autonomous train, and one with an autonomous industrial plant, are discussed to illustrate the controller utilization. The case studies demonstrate the potential benefits and exemplify the need to integrate ethical behaviors in autonomous industrial cyber-physical human systems already at the design phase. The proposed approach, use cases, and discussions make evident the need to address ethical aspects in new efforts to engineer industrial systems in the context of Industry 4.0.

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Utility assessment in automated driving for cooperative human–machine systems

Cited by 10 publications

References 23 publications

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences

Joining the blunt and the pointy end of the spear: towards a common framework of joint action, human–machine cooperation, cooperative guidance and control, shared, traded and supervisory control

Engineering ethical behaviors in autonomous industrial cyber-physical human systems

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