Google Maps for Walking
Encouraging commuters to adopt walking as a daily practice
Encouraging commuters to adopt walking as a daily practice
Encouraging commuters to adopt walking as a daily practice
Encouraging commuters to adopt walking as a daily practice
HCDE 518 Classroom Project
TL;DR Summary
Prompt
How might we encourage commuters to integrate walking into their daily routine?
How might we encourage commuters to integrate walking into their daily routine?
How might we encourage commuters to integrate walking into their daily routine?
While the current digital navigation tools promote the fastest commute mode and route, there is a need for sustainable and healthier urban mobility practices. HMW leverage existing infrastructures to motivate people to adopt sustainable commute modes.
Solution
How might we encourage commuters to integrate walking into their daily routine?
How might we encourage commuters to integrate walking into their daily routine?
How might we encourage commuters to integrate walking into their daily routine?
Google Maps, which 67% of Americans use for navigation, can motivate people to adopt walking as a daily practice and a healthier, more sustainable commute mode.
Team
Gauri Nayak, Parag Nandi, Rabab Rabbani, Ruoxi Shang
My Role
Lead UX Designer and Product Manager
Skills
User Research and Synthesis, Product Scoping, Storyboarding, Interaction Design, Product Management
Timeline
Oct 16th - Dec 6th, 2021 (Seven weeks)
Concept Scenario with Google Maps
Problem Space
150 Million+
daily commuters in the US
67%
use Google Maps for navigation
2.7%
commute by walking
Research questions we wanted to address:
1. What's keeping people from walking to their workplaces?
2. What are their inhibitions, concerns, and expectations while walking?
3. How can walking become a part of people's lifestyle and a more approachable medium of commute?
Target Users
Our target users are people who regularly commute from home to the workplace (office, university, retail and service stores, etc.).
Intial Problem Statement
How might we encourage walking as a more approachable commute choice using digital navigation systems?
Research Methods
We started with secondary research to understand the current commuting and navigation practices in the United States and gaps in present product offerings. Then, we conducted surveys to understand our target users, their commute behaviors, pain points, and challenges. To get a more in-depth understanding of what makes walking enjoyable or challenging for different individuals, we conducted primary research with participants with diverse commute preferences. Then, we adopted the unique guided tour approach to shadow participants through their commute experiences and gained vital details that interviews or surveys would not have revealed.
Surveys
Surveyed 31 participants to understand their behavior and pain points during the commute
Findings:
- Participants described internal factors (lack of energy, boredom) and external factors (roadblocks, noise, weather, safety) as challenges in walking
- Participants described saving time, fun to do, and budget as the main motivating factors for choosing walking as the preferred commute mode
Semi-structured Interviews
Interviewed 8 participants (five males and three females) in the age range of 22 to 60 years
Findings:
- The perceived benefits of walking (flexibility, health & fitness) are higher than the difficulties
- People often prefer completing secondary tasks, e.g., grocery shopping, grabbing coffee/lunch while commuting to-and-fro workplaces
- Walking commuters build up their habits and commit to a routine over time
Guided Tours
Home to workplace guided tour with 2 participants to understand their commute routine and nuances
Findings:
- Users often time themselves mentally - they check time before leaving & estimate when they'd reach
- Users tend to check their phones while waiting for the pedestrian signals to activate
- Users like a sense of passive company while walking - something that does not directly interfere with their walking experience but makes them feel like they are not alone
Please find the detailed user research report here: https://bit.ly/3yFdE1u
Analysis & Synthesis
Key Insights
01
Preplanning Commute
People decide their commute mode and mentally time themselves based on their sleep routine, morning mental state, calendar events, and work deadlines.
02
Time vs. Energy
If the required walking time is more than 20 minutes, people prefer other commute modes due to lack of energy and time constraints.
03
External Deterrents
Uphill roads, constructions on the route, and weather conditions, e.g., rain, snow, harsh sun, deter people from walking for commuting.
04
Safety Concerns
People usually walk alone and are concerned about their safety, especially at night, when the route leads through sketchy neighborhoods.
05
Untethered Flexibility
People choose the fastest commute mode while going to the office, but while returning, they want to walk, enjoy their surroundings, complete secondary tasks, e.g., grocery shopping.
06
Alternate Fitness
Users like walking for commuting as it adds to their fitness activity since most of the time, they are sitting at work and do not find dedicated time for workouts.
Refined Problem Statement
How might we encourage commuters to integrate walking into their daily routine?
Explanation: Our research informed us that the distance and landscape between workplace and home location vary significantly in the US. In some cases, cars are the only viable option for commuting, and walking cannot replace it. So, we iterated our design question to promote walking as part of users’ daily routine instead of replacing a commuting medium.
Design Opportunities
Planning Assistance
Identify suitability of walking based on user's commute constraints and personal preferences and provide flexible navigation planning suggestions.
Real-time Suggestions
Proactively detect users' needs and challenges on the route and offer real-time suggestions to improve the walking experience.
Habit Formation
Understand users' daily routines, identify opportunities to recommend walking, and reward users for forming the habit.
Personas
Based on the interview findings and participant quotes, we noticed a clear pattern in terms of goals, daily routine, commute needs, and challenges. We grouped these behavioral patterns into 3 personas (1 primary and 2 secondary), which further helped us ideate human-centric solutions catering to the needs of multiple personas.
Usability Testing with Lo-Fi & Mid-Fi Prototype
We conducted two rounds of usability testing, first, a pilot test with low fidelity prototype to identify the gaps in information presentation, and the second round of usability test with a mid-fidelity prototype to test interactions and in-context usage
Usability Testing Plan, Findings, and Refinement Report available here: https://bit.ly/32oaGTa
Design Highlights
Since most Americans (67%) use Google Maps for navigation, we decided not to design a new navigation app but rather build on top of Google Maps to encourage walking as a more approachable commute choice for American workers.
Flexible Planning
Value for users:
While returning from work, users generally have a more relaxed timeframe, where Google Maps can suggest nearby events (based on user preferences) on the route. These suggestions can motivate people to walk to the events and introduce them to new experiences.
Value for Google:
Such event suggestions open up opportunities for generating ad revenue for Google for driving offline foot traffic to local businesses.
Real-time Suggestion: Weather (Rain)
Value for users:
Assurance of knowing that the store welcomes commuters to take shelter during adverse weather conditions reduces the anxiety while walking. Users can complete their secondary tasks while commuting, e.g., grabbing a coffee, buying groceries, etc.
Value for Google:
Partnering with local stores and highlighting them on the routes as shelters during adverse weather conditions open up monetization opportunities through ad revenues.
Value for businesses:
Local businesses can receive more foot traffic by getting highlighted on Google Maps and building trust with the community by supporting people during adverse weather conditions.
Real-time Suggestion: Multi-level Roads
Real-time Suggestion: Near Destination
Reminder to Walk
Value for users:
People who can't adopt walking as a regular commute mode can still get the "alternate fitness" benefits from integrating walking into their daily routine. Google Maps can intelligently find nuggets of time in a user's routine (e.g., lunchtime) to suggest walking to local vendors and trails.
Value for Google:
Such use cases beyond commuting open up new opportunities for Google to improve the stickiness of their Maps app and reach out to new audiences.
Long-term Habit Formation
Value for users:
The group challenge notifications motivate users to complete their daily step goals through commute activities, form social connections, and build long-term habits. Achieving the challenge goals brings a sense of accomplishment and willingness to adopt walking into a daily routine and as a commute mode.
Value for Google:
Mapping step goals with commute goals open new opportunities for cross-platform integrations, e.g., health and maps.
Ideas for further development
Personalized Commute Planning
Provide AI-driven commute plans using upcoming calendar events and sleep pattern analysis of users' wake-up time, mood, and energy level, helping users start from home on time.
Enabling Safety for Walkers
Crowdsourcing safety ratings for routes and suggesting safer options for walking; Ensuring safety at night through verified walking buddies commuting on the same path.
Micro Nudges for Walking
Suggest opportunities to walk through micro-interactions (converting distance/time to steps/calories) on Google Maps whenever the distance and time are within manageable limits.
Future Considerations
Incorporate sustainable commute modes beyond walking to include sub-cultures, e.g., skating, e-scooters, bikes, etc.
Personalize the commute experience for people through AI-based suggestions and assistance.
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