A Lab-Based Investigation of Reaction Time and Reading Performance using Different In-Vehicle Reading Interfaces during Self-Driving

Hsiung, Lei; Chang, Yi‐Jun; Li, Wei-Ko; Ho, Tsung-Yi; Wu, Shih Hsiung

doi:10.1145/3543174.3545254

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…[18,26], and for internal communication e.g. in handover scenarios [7,8,16] or for acceptance and user experience [20].…”

Section: Introductionmentioning

confidence: 99%

Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection

Suchan,

Osterloh

2023

Electron. Proc. Theor. Comput. Sci.

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Semi-autonomous driving, as it is already available today and will eventually become even more accessible, implies the need for driver and automation system to reliably work together in order to ensure safe driving. A particular challenge in this endeavour are situations in which the vehicle's automation is no longer able to drive and is thus requesting the human to take over. In these situations the driver has to quickly build awareness for the traffic situation to be able to take over control and safely drive the car. Within this context we present a software and hardware framework to asses how aware the driver is about the situation and to provide human-centred assistance to help in building situation awareness. The framework is developed as a modular system within the Robot Operating System (ROS) with modules for sensing the environment and the driver state, modelling the driver's situation awareness, and for guiding the driver's attention using specialized Human Machine Interfaces (HMIs).A particular focus of this paper is on an Answer Set Programming (ASP) based approach for modelling and reasoning about the driver's interpretation and projection of the scene. This is based on scene data, as well as eye-tracking data reflecting the scene elements observed by the driver. We present the overall application and discuss the role of semantic reasoning and modelling cognitive functions based on logic programming in such applications. Furthermore we present the ASP approach for interpretation and projection of the driver's situation awareness and its integration within the overall system in the context of a real-world use-case in simulated as well as in real driving.

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“…[18,26], and for internal communication e.g. in handover scenarios [7,8,16] or for acceptance and user experience [20].…”

Section: Introductionmentioning

confidence: 99%

Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection

Suchan,

Osterloh

2023

Electron. Proc. Theor. Comput. Sci.

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Move, Connect, Interact: Introducing a Design Space for Cross-Traffic Interaction

Stampf,

Sasalovici,

Meinhardt

et al. 2024

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Rising diversity through novel forms of mobility and increasing connectivity through intelligent systems and wireless connection is leading to a complex traffic environment. However, traditional automotive interface research often focuses on the interaction between vehicle and driver, passenger, or pedestrian, not capturing the interconnected relationships among various traffic participants. Therefore, we developed a design space for Cross-Traffic Interaction (CTI) based on a focus group with six HCI experts, encompassing the dimensions: (1) interaction partners, (2) their traffic situations, and (3) their interaction relationship. Through a systematic literature review, we classified 116 publications, showing less-studied interaction possibilities. Illustrating the practical application of our design space, we developed three interactive prototypical applications: Shooting Stars, Flow Rider, and Road Reels. A study (N=12) shows that the applications were received well and could improve traffic experience. Overall, our design space serves as a foundational tool for understanding and exploring the challenges and diverse opportunities within CTI, bridging the gap between traditional automotive interface research and the complex realities of modern traffic environments.

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A Lab-Based Investigation of Reaction Time and Reading Performance using Different In-Vehicle Reading Interfaces during Self-Driving

Cited by 2 publications

References 47 publications

Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection

Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection

Move, Connect, Interact: Introducing a Design Space for Cross-Traffic Interaction

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