1st Workshop on Ethically Inspired User Interfaces for Automated Driving

Riener, Andreas; Jeon, Myounghoon; Álvarez, Ignacio; Pfleging, Bastian; Mirnig, Alexander G.; Tscheligi, Manfred; Chuang, Lewis L.

doi:10.1145/3004323.3005687

Cited by 10 publications

(9 citation statements)

References 4 publications

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“…Their interdisciplinary nature allows the team to appreciate the diverse backgrounds of workshop attendees and to stimulate a critical discussion during the workshop. Since 2008, many of the organizers have been involved in the organization of a series of workshops on user experience in (automated) driving at the AutomotiveUI conference [2,6,11,14]. Moreover, in 2015, 2016, and 2018 they organized one-day workshops at CHI related to these themes [7][8][9].…”

Section: Organizersmentioning

confidence: 99%

“…Andreas Riener is a professor for HMI and VR at THI with co-appointment at CARISSMA (Center of Automotive Research on Integrated Safety Systems and Measurement Area). His research interests include driving ergonomics, driver state estimation from physiological measures, human factors in driver-vehicle interaction, as well as topics related to (over)trust, acceptance [19], and ethical issues [11] in automated driving.…”

Section: Organizersmentioning

confidence: 99%

“…In the last years, many researchers have looked into the emersion of these vehicles from different perspectives, such as control transitions [3,13,18], trust in automation [10], and interaction with road users [12]. Furthermore, several workshops tackled and discussed questions about the design of user interfaces and interaction concepts in (highly) automated vehicles in various communities such as AutomotiveUI [2,11,15] and CHI [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Looking into the Future

Borojeni¹,

Meschtscherjakov

Pfleging

et al. 2019

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

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Section: Organizersmentioning

confidence: 99%

Section: Organizersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Looking into the Future

Borojeni¹,

Meschtscherjakov

Pfleging

et al. 2019

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

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“…1 The introduction of fully autonomous vehicles will have a significant impact not only on people's mobility behavior but also how people or other vehicles interact with automated vehicles. Issues, such as the design of user-friendly interfaces for the driver to communicate with the vehicle (e.g., giving directions) or how User Experience (UX) will change when driving in automated vehicles have been discussed from an HCI perspective in the Automotive UI community [e.g., 20,27], mobile HCI [15], RO-MAN [21], as well as at CHI itself [4,13,14].…”

Section: Introductionmentioning

confidence: 99%

Interacting with Autonomous Vehicles

Meschtscherjakov

Tscheligi

Pfleging

et al. 2018

Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

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The rise of evermore autonomy in vehicles and the expected introduction of self-driving cars have led to a focus on human interactions with such systems from an HCI perspective over the last years. Automotive User Interface researchers have been investigating issues such as transition control procedures, shared control, (over)trust, and overall user experience in automated vehicles. Now, it is time to open the research field of automated driving to other CHI research fields, such as Human-Robot-Interaction (HRI), aeronautics and space, conversational agents, or smart devices. These communities have been dealing with the interplay between humans and automated systems for more than 30 years. In this workshop, we aim to provide a forum to discuss what can be learnt from other domains for the design of autonomous vehicles. Interaction design problems that occur in these domains, such as transition control procedures, how to build trust in the system, and ethics will be discussed.

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“…However, the basic assumption is that future self-driving connected cars must be socially sustainable. Until now, ethical aspects of self-driving cars have been addressed in form of a thought experiment, so called "trolley problem" described in [20] and [63], and discussed in number of articles in IEEE [4,6,26], ACM [21,34,37], Scientific American [12,30,35], Science [8,29], other high-profile journals [10,25,27], conference workshops [5,48] and various other sources [1,3,40,50]. Here is the general scenario being discussed:…”

mentioning

confidence: 99%

Avoiding the intrinsic unfairness of the trolley problem

Holstein

Dodig-Crnković

2018

Proceedings of the International Workshop on Software Fairness

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As an envisaged future of transportation, self-driving cars are being discussed from various perspectives, including social, economical, engineering, computer science, design, and ethical aspects. On the one hand, self-driving cars present new engineering problems that are being gradually successfully solved. On the other hand, social and ethical problems have up to now being presented in the form of an idealized unsolvable decision-making problem, the so-called "trolley problem", which is built on the assumptions that are neither technically nor ethically justifiable. The intrinsic unfairness of the trolley problem comes from the assumption that lives of different people have different values. In this paper, techno-social arguments are used to show the infeasibility of the trolley problem when addressing the ethics of selfdriving cars. We argue that different components can contribute to an "unfair" behaviour and features, which requires ethical analysis on multiple levels and stages of the development process. Instead of an idealized and intrinsically unfair thought experiment, we present real-life techno-social challenges relevant for the domain of software fairness in the context of self-driving cars.

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1st Workshop on Ethically Inspired User Interfaces for Automated Driving

Cited by 10 publications

References 4 publications

Looking into the Future

Looking into the Future

Interacting with Autonomous Vehicles

Avoiding the intrinsic unfairness of the trolley problem

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