SafeGO
comprehensive design system of transporting children
through autonomous vehicles
Tool
Figma
Adobe Photoshop
Balsamic
Year
2023
Category
User Interface
Team
SHENGJIA ZHU
MIRANDA LI
Role
UX UI Designer
Concept Developer
Visual Designer
The brief.
In today's fast-paced world, balancing work and childcare has become increasingly challenging for many parents. The need for a reliable and safe method to transport children has led to the development of innovative solutions in the transportation industry. This project, "Transporting Children in Autonomous Car," addresses the gap in the market for a dedicated system designed specifically for transporting children safely in autonomous vehicles.
Project Objective
The primary objective of this project is to design an interactive and user-friendly system that caters to the needs of both parents and children during autonomous car rides. Our solution, SafeGo, includes a mobile application for parents and a tablet interface for children, ensuring safety, convenience, and engagement throughout the journey.
Project Overview
This project aims to strengthen the implementation of autonomous cars in public transport (picking up and dropping off). The use of autonomous cars in public transportation focuses on designing a supervision system for the guardian's cell phone and an in-car tablet entertainment system for students. This design is expected to support the day-to-day living of students and guardians through the use of autonomous cars.
Design Solution
SafeGo Mobile App - Miranda: Designed for parents, this app allows them to schedule trips, monitor their children’s status in real-time, and manage bookings efficiently.
SafeGo Tablet Interface - Shengjia Zhu: Tailored for children, this tablet interface provides entertainment options and real-time communication with parents, ensuring a safe and enjoyable journey.
Background Research
With the introduction of ride-sharing services like Uber and Didi, renting a car has become easy and cheap. As a result, many parents now rely on ride-sharing services to transport their children across town. According to the World Health Organisation, 1.3 million people die in traffic accidents every year. The main risk factors for road accidents are speeding, drinking and driving, distracted driving, unsafe vehicles, and unsafe infrastructure. Recent advances in autonomous vehicle technology are revolutioniwing the transportation industry, particularly in the area of children's transportation.
To effectively develop autonomous vehicle technology for transporting children, safety must be a primary consideration. Autonomous vehicles need to navigate complex roads and intersections, identify pick-up and drop-off points accurately, and support features like shortest and safest route planning, speed control, navigation, and safe parking.
Goals and Objectives
For Guardians:
Reduce conflict between work and picking up and dropping off children.
Improve the efficiency of guardians on mobile app uses through interface design.
Improve the efficiency of access to information received by guardians in mobile terminal design.
Improve the trustworthiness of guardians by designing mobile applications using interfaces.
Consider the disability problems.
For Students:
Reduce conflict between after-school activities and in-class lessons.
Improve the students’ experience in routine by designing tablet applications through interfaces.
Improve the safety construction in routine through interface design.
Improve opportunities for real-time communication between students and guardians.
Consider the disability problems.
Mind Map
Target Users
Our primary user group includes guardians and students aged 6-18. The main concerns for guardians are safety, real-time transport updates, and easy-to-use booking functions, while students need safety features, entertainment systems, and optional learning resources.
Parents: Seeking a reliable and safe method to transport their children while managing their busy schedules.
Children: Requiring a safe and engaging experience during their autonomous car rides.
Methodology
Our research and analysis phase included a comprehensive competitor analysis and online ethnography. We conducted a detailed examination of existing ride-sharing and child transportation apps. This analysis helped us identify the strengths, weaknesses, and areas for improvement in our design. Additionally, we performed online ethnography to gather insights into parents' concerns, needs, and preferences for transporting their children using autonomous vehicles. This user-centred approach ensured that our design addressed real-world problems effectively.
Iteration
1st Hand Sketched wireframe
2nd Hand Sketched wireframe
Low-fidelity to Mid-fidelity Prototype
Changes made based on Usability Testing and Peer Feedback
Mid-fidelity to High-fidelity Prototype
Changes made based on Client Meeting and Peer Feedback
Based on the client feedback and peer’s review, several improvements have implied to this final high-fidelity prototype for better user experience and accessibility.
Design.
Design System
Mobile wireflow
Presented workflow
Amy would like to book a trip home from school for her two children every weekdays afternoon. Her two children's schools are close, and she wanted to be able to book a car for both at once so she wouldn't have to leave work early.
Changing Date for new booking
Booking Confirmation
Tracking Kids Status
Tablet Version by Shengjia Zhu
Reflection
Working on the "Transporting Children in Autonomous Car" project was both challenging and rewarding, particularly as it was my first experience using Figma. I was responsible for designing the mobile application for parents and conducting user research. Initially, understanding user needs through competitor analysis and surveys was crucial. I then created wireframes and developed high-fidelity prototypes, iterating based on feedback from usability tests. This project highlighted the importance of effective communication and user-centred design. Despite initial challenges with Figma and remote collaboration, I learned to leverage these tools effectively. The project underscored the potential of autonomous vehicles in enhancing child safety and convenience, and it significantly improved my skills in design thinking and collaborative problem-solving.