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.

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.

Using Personas with Visual Impairments to Explore the Design of an Accessible Self-Driving Vehicle Human-Machine Interface

2021 ◽  
Vol 65 (1) ◽  
pp. 337-341
Author(s):  
Julian Brinkley
Keyword(s):  
Participatory Design ◽  
Design Research ◽  
Low Vision ◽  
Human Machine Interface ◽  
User Centered Design ◽  
Persons With Disabilities ◽  
Automotive Systems ◽  
Machine Interface ◽  
Persona Development ◽  
User Centered

Recent reports have suggested that most self-driving vehicle technology being developed is not currently accessible to users with disabilities. We purport that this problem may be at least partially attributable to knowledge gaps in practice-oriented user-centered design research. Missing, we argue, are studies that demonstrate the practical application of user-centered design methodologies in capturing the needs of users with disabilities in the design of automotive systems specifically. We have investigated user-centered design, specifically the use of personas, as a methodological tool to inform the design of a self-driving vehicle human-machine interface for blind and low vision users. We then explore the use of these derived personas in a series of participatory design sessions involving visually impaired co-designers. Our findings suggest that a robust, multi-method UCD process culminating with persona development may be effective in capturing the conceptual model of persons with disabilities and informing the design of automotive system.

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.

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

scholarly journals The camera never lies, or does it? The dangers of taking CCTV surveillance at face value

2011 ◽  
Vol 8 (4) ◽  
pp. 527-534 ◽  
Author(s):  
Alex Stedmon
Keyword(s):  
Human Factors ◽  
Human Machine Interface ◽  
Closed Circuit ◽  
Closed Circuit Television ◽  
Machine Interface ◽  
Recorded Image ◽  
Cctv Surveillance

How many of us question what we’re shown via closed circuit television (CCTV) as being the truth of a situation?  Can clear and easily identifiable images be wrong?  And if they are, how can you argue against the power of the recorded image from a legal standpoint?  Can Human Factors help us improve surveillance for society?  In this real example of improper CCTV surveillance, can CCTV always be taken at face value?  The simple answer is no, but how many people accept what they’re shown without question and end up paying the penalties?  This paper examines a case study where all that appeared on the CCTV image was not as it seemed.  It then considers the underlying human factors issues of CCTV technologies for surveillance and the importance of understanding the fundamental human-machine interface.

A Case Study of the Link between Virtual and Physical Prototyping in Servo-Pneumatic System

2014 ◽  
Vol 607 ◽  
pp. 755-758 ◽  
Author(s):  
Pornjit Pratumsuwan ◽  
Peerawatt Nunthavarawong ◽  
Aphaiwong Junchangpood
Keyword(s):  
Virtual Prototyping ◽  
Human Machine Interface ◽  
Experimental Results ◽  
Pneumatic System ◽  
Simulation Design ◽  
Interface System ◽  
Computer Environment ◽  
Machine Interface ◽  
Aided Design

This paper presents a link between virtual and physical prototyping which was applied to the servo-pneumatic system. The development began with the study and design. Next, virtual prototyping, this stage is the integration of aided design, programming design, and simulation design to demonstration the functionality of the virtual servo-pneumatic prototype in a computer environment. After that, the virtual prototype which is verified and optimized to be used a physical prototyping. Finally, links the two together, this link represents be a human-machine interface system. The experimental results were satisfactory. Thus, may be said that this is both to enhance of the performance and efficiency of prototyping in current mechatronics system.

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