Automation as Driver Companion: Findings of AutoMate Project

Castellano, Andrea; Fossanetti, Massimo; Landini, Elisa; Tango, Fabio; Montanari, Roberto

doi:10.1007/978-3-030-39512-4_159

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…In ADS research, few studies tested the bi-directional communication to support driver-ADS teaming. Castellano et al (2020) implemented the "AutoMate" HMI on a vehicle dashboard, and the system negotiated with drivers on whether to enter a roundabout given a driver's judgment about the available space. Similarly, Wang et al (2020) proposed a framework in which drivers negotiated with ADS for the next maneuver using gaze and speech.…”

Section: Binary Function Allocation To Dynamic Interdependencymentioning

confidence: 99%

Teaming with Your Car: Redefining the Driver–Automation Relationship in Highly Automated Vehicles

Lee

Rheem

Lee

et al. 2022

Journal of Cognitive Engineering and Decision Making

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Advances in automated driving systems (ADSs) have shifted the primary responsibility of controlling a vehicle from human drivers to automation. Framing driving a highly automated vehicle as teamwork can reveal practical requirements and design considerations to support the dynamic driver–ADS relationship. However, human–automation teaming is a relatively new concept in ADS research and requires further exploration. We conducted two literature reviews to identify concepts related to teaming and to define the driver–ADS relationship, requirements, and design considerations. The first literature review identified coordination, cooperation, and collaboration (3Cs) as core concepts to define driver–ADS teaming. Based on these findings, we propose the panarchy framework of 3Cs to understand drivers’ roles and relationships with automation in driver–ADS teaming. The second literature review identified main challenges for designing driver–ADS teams. The challenges include supporting mutual communication, enhancing observability and directability, developing a responsive ADS, and identifying and supporting the interdependent relationship between the driver and ADS. This study suggests that the teaming concept can promote a better understanding of the driver–ADS team where the driver and automation require interplay. Eventually, the driver–ADS teaming frame will lead to adequate expectations and mental models of partially automated vehicles.

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Section: Binary Function Allocation To Dynamic Interdependencymentioning

confidence: 99%

Teaming with Your Car: Redefining the Driver–Automation Relationship in Highly Automated Vehicles

Lee

Rheem

Lee

et al. 2022

Journal of Cognitive Engineering and Decision Making

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“…The scope of these tools is to increase the awareness of the driver by explaining the decisions of the automation. In fact, several studies [14] [7] show that informing the driver about the rational of the decision-making is able to increase the acceptance and the trust in the automated system. This approach has been called negotiation-based interaction opposed but at the same time built upon the traditional warning-based approach.…”

Section: Related Work On Hmi Based On a User-centered Design Approachmentioning

confidence: 99%

Graphic Interfaces in ADAS

Masola

Gabbi

Castellano

et al. 2020

Proceedings of the 6th EAI International Conference on Smart Objects and Technologies for Social Good

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In this paper we report our experiences in designing and implementing a digital virtual cockpit to be installed as a component within the software stack of an Advanced Driving Assisted System (ADAS). Since in next-generation automotive embedded platforms both autonomous driving related workloads and virtual cockpit rendering tasks will co-run in a hypervisor-mediated environment, they will share computational resources. For this purpose, our work has been developed by following a requirement-driven approach in which regulations, usability and visual attractiveness requirements have to be taken into account by balancing their impact in terms of computational resources of the embedded platform in which such graphics interfaces are deployed. The graphic interfaces we realized consist of a set of 2D frames for the instrument cluster (for displaying the tachometer and the speedometer) and a screen area in which a 3D representation of the vehicle surroundings is rendered alongside driving directions and the point-cloud obtained through a LIDAR. All these components are able to alert the driver of imminent and/or nearby driving hazards. CCS CONCEPTS • Human-centered computing → Visualization application domains; Information visualization; • Computer systems organization → System on a chip.

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