Creating Tactile Interaction Surfaces for the Origo Steering Wheel Concept using CWI and EHWs

Haptics, one of the key interaction modalities, is often over-looked as it is considered non-functional in a vibration heavy environment, such as a moving vehicle. However, modern techniques of generating, mediating, and delivering tactile feedback have greatly improved in the last five years. Localizing techniques such as Constructive Wave Interference (CWI) and mediation technique of Embedded Haptic Waveguides (EHWs) can be combined to create reliable and consistent tactile output in even the most challenging environments. In this research authors utilize these techniques to create tactile feedback zones on the steering wheel, which can be used to relay haptic signals to the driver with little to no visual demand.acceptedVersionPeer reviewe

Origo Steering Wheel: Improving Tactile Feedback for Steering Wheel IVIS Interaction using Embedded Haptic Wave Guides and Constructive Wave Interference

Automotive industry is evolving through “Electrification”, “Autonomous Driving Systems”, and “Ride Sharing”, and all three vectors of change are taking place in the same timeframe. One of the key challenges during this transition will be to present critical information collected through additional onboard systems, to the driver and passengers, enhancing multimodal in-vehicle interaction. In this research authors suggest creating embedded tactile-feedback zones on the steering wheel itself, which can be used to relay haptic signals to the driver with little to no visual demand. Using “Haptic Mediation” techniques such as 3D-printed Embedded Haptic Waveguides (EHWs) and Constructive Wave Interference (CWI), the authors were able to provide reliable tactile feedback in normal driving environments. Signal analysis shows that EHWs and CWI can reduce haptic signal distortion and attenuation in noisy environments and during user testing, this technique yielded better driving performance and required lower cognitive load while completing common IVIS tasks.acceptedVersionPeer reviewe

Accessible Automated Automotive Workshop Series (A3WS): International Perspective on Inclusive External Human-Machine Interfaces

The fact that automated vehicles will be part of road traffic raises the question of how human road users, like bicyclists or pedestrians, would safely interact with them. Research has proposed external human-machine interfaces (eHMIs) for automated vehicles as a potential solution. Concept prototypes and evaluations so far have mainly focused on young, healthy adults and people without disabilities, such as visual impairments. For a “one-for-all” holistic, inclusive solution, however, further target groups like children, seniors, or people with (other) special needs will have to be considered. In this workshop, we bring together researchers, experts, and practitioners working on eHMIs to broaden our perspective on inclusiveness. We aim to identify aspects of inclusive eHMI design that can be universal and tailored to any culture and will focus on discussing methods, tools, and scenarios for inclusive communication

Ensuring Cooperative Driving Automation (CDA) and Vulnerable Road Users (VRUs) Safety Through Infrastructure

693JJ319D000012Vulnerable road users (VRUs), including pedestrians, bicyclists, motorcyclists, and a variety of micromobility users, are at an increased risk for collisions, severe injuries, and fatalities relative to other road users, particularly in crowded urban environments. New transportation technologies could have both positive and negative effects on VRU safety. These new technologies include automated driving systems (ADS), which are capable of controlling vehicles with no or limited input from human drivers and cooperative driving automation (CDA), which send and receive cooperative and safety messages. The current literature review assesses the potential impact of ADS-equipped vehicles and CDA technology on VRU safety and the potential role of infrastructure in facilitating safe interactions. The review also includes a prioritized list of issues related to human factors and generated research needs, based on feedback from a panel of subject matter experts