scholarly journals Exploring the Usability of a Connected Autonomous Vehicle Human Machine Interface Designed for Older Adults

2018 ◽  
pp. 591-603
Author(s):  
Phillip L. Morgan ◽  
Alexandra Voinescu ◽  
Chris Alford ◽  
Praminda Caleb-Solly
Keyword(s):  
Older Adults ◽  
Autonomous Vehicle ◽  
Human Machine Interface ◽  
Machine Interface

scholarly journals Influence of Adaptive Human–Machine Interface on Electric-Vehicle Range-Anxiety Mitigation

2020 ◽  
Vol 4 (1) ◽  
pp. 4
Author(s):  
Antonyo Musabini ◽  
Kevin Nguyen ◽  
Romain Rouyer ◽  
Yannis Lilis
Keyword(s):  
Electric Vehicle ◽  
Autonomous Vehicle ◽  
Human Machine Interface ◽  
Traffic Light ◽  
Automated Driving ◽  
Range Anxiety ◽  
Driving Task ◽  
Machine Interface ◽  
Emergency Stop ◽  
Save Energy

The electrification of vehicles is without a doubt one of the milestones of today’s automotive technology. Even though industry actors perceive it as a future standard, acceptance, and adoption of this kind of vehicles by the end user remain a huge challenge. One of the main issues is the range anxiety related to the electric vehicle’s remaining battery level. In the scope of the H2020 ADAS&ME project, we designed and developed an intelligent Human Machine Interface (HMI) to ease acceptance of Electric Vehicle (EV) technology. This HMI is mounted on a fake autonomous vehicle piloted by a hidden joystick (called Wizard of Oz (WoZ) driving). We examined 22 inexperienced EV drivers during a one-hour driving task tailored to generate range anxiety. According to our protocol, once the remaining battery level started to become critical after manual driving, the HMI proposed accurate coping techniques to inform the drivers how to reduce the power consumption of the vehicle. In the following steps of the protocol, the vehicle was totally out of battery, and the drivers had to experience an emergency stop. The first result of this paper was that an intelligent HMI could reduce the range anxiety of the driver by proposing adapted coping strategies (i.e., transmitting how to save energy when the vehicle approaches a traffic light). The second result was that such an HMI and automated driving to a safe spot could reduce the stress of the driver when an emergency stop is necessary.

Participatory Design in the Classroom: Exploring the Design of an Autonomous Vehicle Human-Machine Interface with a Visually Impaired Co-Designer

2020 ◽  
Vol 64 (1) ◽  
pp. 1921-1925
Author(s):  
Earl W. Huff ◽  
Kathryn M. Lucaites ◽  
Aminah Roberts ◽  
Julian Brinkley
Keyword(s):  
Participatory Design ◽  
Low Vision ◽  
Autonomous Vehicle ◽  
Human Machine Interface ◽  
Motor Vehicles ◽  
Visual Disability ◽  
Personal Mobility ◽  
Machine Interface ◽  
Design Ideas

Self-driving vehicles are the latest innovation in improving personal mobility and road safety by removing arguably error-prone humans from driving-related tasks. Such advances can prove especially beneficial for people who are blind or have low vision who cannot legally operate conventional motor vehicles. Missing from the related literature, we argue, are studies that describe strategies for vehicle design for these persons. We present a case study of the participatory design of a prototype for a self-driving vehicle human-machine interface (HMI) for a graduate-level course on inclusive design and accessible technology. We reflect on the process of working alongside a co-designer, a person with a visual disability, to identify user needs, define design ideas, and produce a low-fidelity prototype for the HMI. This paper may benefit researchers interested in using a similar approach for designing accessible autonomous vehicle technology.

A human machine interface framework for autonomous vehicle control

2017 ◽  
Author(s):  
Takuma Nakagawa ◽  
Ryota Nishimura ◽  
Yurie Iribe ◽  
Yoshio Ishiguro ◽  
Shin Ohsuga ◽  
...  
Keyword(s):  
Autonomous Vehicle ◽  
Vehicle Control ◽  
Human Machine Interface ◽  
Machine Interface

An Accessible Autonomous Vehicle Ridesharing Ecosystem

2021 ◽  
Vol 65 (1) ◽  
pp. 342-346
Author(s):  
Stephen Carvalho ◽  
Aaron Gluck ◽  
Daniel Quinn ◽  
Mengyuan Zhang ◽  
Lingyuan Li ◽  
...  
Keyword(s):  
Interior Design ◽  
Web Application ◽  
Participatory Design ◽  
Autonomous Vehicle ◽  
Human Machine Interface ◽  
Vehicle Interior ◽  
Literature Reviews ◽  
Potential Alternative ◽  
Machine Interface ◽  
Mode Of Transportation

Autonomous ridesharing vehicles provide a potential alternative and affordable mode of transportation for older adults and users with disabilities or special needs, but relatively few studies have investigated the accessibility of autonomous ridesharing applications and vehicles for them. Therefore, a participatory design approach was used to investigate the needs and challenges of this population. This investigation involved interviews, review of past focus group transcripts, literature reviews, and surveys. The findings resulted in a list of user needs to design and build prototypes of accessible technologies as part of an ecosystem for booking and riding in autonomous ridesharing vehicles. The ecosystem of technologies consisted of prototypes of a mobile application, a web application, an in-vehicle human-machine interface, an external human-machine interface, and the vehicle interior design.

Designing the human machine interface in the ATIS domain

1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  
Keyword(s):  
Human Machine Interface ◽  
Machine Interface

scholarly journals Evaluation of Multimodal External Human–Machine Interface for Driverless Vehicles in Virtual Reality

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 687
Author(s):  
Jinzhen Dou ◽  
Shanguang Chen ◽  
Zhi Tang ◽  
Chang Xu ◽  
Chengqi Xue
Keyword(s):  
New Technology ◽  
Pedestrian Safety ◽  
Human Machine Interface ◽  
Visual Features ◽  
Visual Modality ◽  
Human Voice ◽  
Road Users ◽  
Machine Interface ◽  
Interaction Efficiency ◽  
Physical Features

With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.

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