顺路推荐 Along-the-way Itinerary Recommendation

Product design for NIO drivers to better plan their days, where the in-car AI assistant would be able to memorize and recommend possible short detours the driver can make to do something else while commuting.

Team

Michael Li, Yingying Song, Burn Zhang

Time Frame

7 Weeks

My Role

Designer, Researcher

Tools

Figma

01 CONTEXT

I worked on this project for my internship at NIO. During this internship, one of the main focuses of the team was with the development of assistive driving, drivers will have more attention span to preform more complicated interactions while driving. Thus begins the trend of integrating in-vehicle service into the car that will work better than simply using a phone.

There were two main focused areas of the project

During my internship, NIO was scheduling their release of integrating "mini programs" into their in-car systems, giving opportunities to more convinient services that connect NIO's vehicles to the metropolitan life.

Some current envisioned scenarios include these:

This project services as an exploratory project to design new opportunites with the many different capabilities these "mini programs" bring

02 THE PROBLEM & SOLUTION

The Problem

Throughout the exploratory process, I've identified a key issue: NIO drivers often struggle to balance their busy schedules, feel frustrated with the repetitive routines of their demanding professional lives, and crave more opportunities for leisure and relaxation outside of work.

The Solution

The solution is an AI powered itinerary recommendation product built into the NIO vehicle system that:

a) Allow the driver to record interesting places and keeps a record of favorite places,
b) Recommend simple tasks based on the driver's current contextual information and the driver's set of favorite places that the driver could take while heading to a specific destination
c) Schedule specific reminders to visit locations of interests

03 PROCESS

Starting out with such a broad statement, I would need to understand what I am designing and who I’m designing for. I looked into 3 main areas, competitiors, the market in general, and specific users.

There is market value to the product

I first looked into the general EV market, and what experts in the field are predicting what the future trends in the EV market would be, and these include the following:

GPT Integration
Integrating GPT models to ensure more natural interactions between the driver and the AI-Agent
Personalization
Drivers are expecting their vehicles to be more personalized, catering to their more specific needs
Assistive Driving
Improved assistive driving abilities, giving drivers more freedom to do other things while driving

There is Competitive Value to the Product!

I looked into specific electric-vehicle (brands in both inside China) and what features they are introducing into their newest models. I was abe to locate the following trends:

X PENG
Humanzied Interaction
GPT Integration
AI Creativity Features
Assistive Driving
Li Auto
Humanzied Interaction
GPT Integration
AI Creativity Features
Family Friendly Features
ZEEKR
State of the Art Hardware
Offline Services
Assistive Driving
XIAO MI Auto
Home life Integration
XIAO-MI System Ecosystem Integration
Context / Home Location Features
There seems there is a general trend of integrating AI services within electric vehicles with major domestic Chinese electric vehicle brands.

Product has value to NIO Users

Main User Insights

Insight 1:

NIO users find it hard to balance their professional demands with leisure activities

Insight 2:

Users want to visit many places in their city, but don't have to time to schedule visits

Insight 3:

Users hopes that the vehicle would have capabilities enhancing their time management capabilities

What abilities do current NIO vehicles have?

As aforementioned, one of the main goals of the project is to create a product that would create a better experience than simply using a phone, which means the design would have to integrate these features that currently exists in NIO’s vehicles.

AI GPT Integration

Able to perform complex calculations
Remember driver data and personalize experience

Map & Navigation

Understand driver’s basic schedule through location
Allow location context aware abilities
Guiding drivers to important locations

Assistive Driving

Allow drivers to divert some of their attention to other tasks

Interior & Exterior Sensors

Understand the context within and outside the vehicle
Computer vision, sound sensors

In What Scenarios will the car be better than the phone?

With these insights from our research, we brainstormed a range of potential product ideas that could genuinely improve users' day-to-day experiences. A big goal of this project is to create something that feels like an upgrade from just using a phone—something more immersive and intuitive. To achieve this, we focused on building a design that seamlessly integrates the unique features already available in NIO vehicles.

There I ideated multiple possible scenarios that a driver would demand some sort of service to improve their driving experience, these include:

screen shots of ideated scenarios in the document

Defining Service at NIO

After the general exploration, the scnearios are classified into 7 general user needs.

These categories are not just used for this project aline, but would be a guide/inspiration for future service related projects

Further, we created 3 main strategies that we want to follow both based on the researched insights and the general guidelines of NIO’s brand guidelines. 

images from meeting white board discussions

These strategic guidelines would also be informing other service related projects at NIO

Explore the Scenarios

From the insights from the user and the general user needs we explored, I’ve mainly wanted to explore the concept of accomplishing task during daily commutes. 

Some of the main scenarios I’ve explored were

Scenario 1:
"Missed Opportunity: Forgetting a Great Restaurant"

The Missed Chance

Visual: Two people drive past a vibrant restaurant. User A says, "That place looks great! Let’s come back later."

Problem: They notice the restaurant but don’t save it for later.

Forgotten on the Way Home

Visual: On their way back, they’re distracted and forget about the restaurant.

Problem: Without a reminder, the opportunity slips away.

Regret Days Later

Visual: User A tries to remember the restaurant but can’t recall its name or location.

Problem: Frustration sets in as they realize they can’t find it again.

Scenario 2:
"After-work Fatigue: End of Workday Decisions"

The Missed Chance

Visual: A person at their desk, staring at the clock, drained from the day.

Problem: Too tired to plan their evening, they want to relax but can’t decide what to do.

Getting in Car - Indecision

Visual: They sit in the car, staring at their phone, unsure of what to do next

Problem: They can’t decide on plans and feel stuck in indecision.

Missing Out on Relaxation

Visual: They drive past coffee shops and parks but keep going, too tired to stop.

Problem: They miss chances to unwind and feel frustrated for not acting.

User Journey

User Journey trying to outline the design opportunites in each stage of the user going through the experience

From creating the user journey, I’ve identified several touchpoints for potential designs, including

Prototyping

screenshots of multiple iterations before the final

After going through multiple iterations, I have a better understanding of the main framework of the final design, getting a better understand of the 3 main sections required for the design.

**at first I wanted to include a section that allow the user to rate the establishment, however after multiple explorations it seems more like a task to be done on a mobile device rather than a car interface.

04 FINAL DESIGN

Main Design Strategies

The final design concept is an in-vehicle “along-the-way" itinerary recommendation, where the in-car AI assistant would be able to memorize and recommend possible short detours the driver can make to do something else while on their way commuting.

The final design consists of three main sections:

When creating the final design, I ensure any design decisions are judged by the following design strategies to ensure the optimal experience for the drivers.

Multi-Modal Interaction

Use visuals to highlight the most important elements, and use the voice agent to provide further detail if necessary

Humanzied Voice Agent

Use visuals to highlight the most important elements, and use the voice agent to provide further detail if necessary

Task-Oriented

Focus the design on Tasks the driver want to accomplish and not by specific location names

Context Aware

The design and interactions depends on the driver’s current location and timing

Exploration & Scheduling

Drivers are able to quickly ask for information about a place through the voice agent, and schedule future visits while driving, so the vehicle would be able to plan something for the future

That bakery with the red door looks so cute! What do they sell inside?

Are you talking about MATCH bakery & Co? They mainly sell various matcha products, including cakes, bread, and drinks!

Other user highly recommends their succulent matcha mille crepe.

Reminders

After planning a future trip, the vehicle would remind the user at appropriate scenarios

You previously mentioned wanting to check out Matcha & Co to buy breakfast for tomorrow morning. Do you still want to go?

Recommendations

Using the driver’s collection of favorite and most frequently visited spots to create recommendations for interim stops that allow the user to quickly finish tasks like buying tomorrow’s breakfast, coffee, and other small tasks.

Is there anything I can do right now?

Let me see. On your way home, you could buy breakfast for tomorrow, get dog food for your dog, go to the gym for a workout, or relax at the park.

Buy breakfast

Got it! Do you want to buy breakfast at the MATCHA bakery you saw this morning, or the Yuan Ji Bun Shop near your house?

The one next to my place

Got it! Heading to <YuanJi Bun Shop> about 2 minutes from your destination. The drive would take approximately 10 minutes.

05 REFLECTION

Familiarity with Vehicle-Specific User Behaviors and Scenarios:

Before this projects, I was mainly familiar with user scenarios related to mobile/PC devices. It was hard to extract myself from preconceptions built from past experience designing for mobile screens, and become familiar with vehicle interfaces

Formation of the Big Idea/Main Concept:

I went through a long phase of confusion with the project at the start, where it was hard to navigate through such a large project and understand my own subset. Eventually, I was able to extract the main idea of the project and was able to push forwards

Understanding Experience Definition:

During the design phase, one of the biggest challenges was to understand what make a design “good.” This led to me returning back to the drawing board multiple times, until I was finalized with the several design strategies that helps me identify which parts of the design is “good” for the project and while other details need more refinement.

Familiarize with Multi-Modal Interactions:

When designing the prototype itself in Figma, I had to become more familiar with the different types of interaction the vehicle affords, and how to represent these different types of interactions (touch/voice) in the prototype to better communicating my design.