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Waymo UX: Interview with Ryan Powell (Method Podcast, Ep 14)

Google Design2018-07-24
material#design#google#designers#ux#waymo#self driving cars#ux design#user trust#podcast#interview#method#google design
3K views|5 years ago
💫 Short Summary

The video features Ryan Powell from Waymo discussing the importance of establishing trust in self-driving cars through user-friendly interfaces. The design team focuses on transparency, feedback from the early rider program in Phoenix, and balancing information display for user experience. They prioritize proactive communication, drawing inspiration from human-machine interfaces in the auto industry. The goal is to build trust and comfort for passengers by providing clear data presentation and a relaxing, personalized space in self-driving vehicles. The team works on implementing new features weekly to enhance user delight and safety while driving.

✨ Highlights
📊 Transcript
Importance of establishing trust between technology and passengers in self-driving vehicles.
Ryan Powell, head of UX design at Waymo, leads a team of five designers focusing on designing interfaces for self-driving cars.
The team uses 3D scenes and laser points to render traffic, cyclists, and pedestrians in the UI.
Custom shapes are created to represent vehicles in the UI for a more detailed and accurate representation due to hardware limitations.
Design team prioritizes transparency and user-friendliness in presenting data from hardware like lasers, cameras, and radars.
Research from the early rider program in Phoenix influences the design work, with a focus on providing a seamless user experience.
Inspiration is drawn from the passenger experience on planes, emphasizing the need for essential and easily accessible information for users.
Autopilot systems are evaluated in terms of communication with pilots and air traffic control towers, stressing the importance of clear and concise data presentation.
Summary of User Research Feedback on Early Rider Program for Self-Driving Cars.
Phoenix was selected for testing due to its modern infrastructure and legislative environment.
Challenges include transitioning from driver to passenger and building trust between passengers and technology.
Nonverbal communication cues from human drivers are crucial, prompting the need to replicate them in self-driving cars.
The design of self-driving cars focuses on creating a comfortable and customized environment for passengers while maintaining a balance between intrusiveness and user experience.
Impact of first-hand experience on trust in autonomous vehicle technology.
Participants showed increased trust and excitement for self-driving cars after using a curbside pickup service in Phoenix.
Challenges arise in pickup locations, with cars sometimes anticipating locations differently from where passengers are standing.
Researchers are studying visual information displayed to autonomous vehicles and differences in rendering pedestrian movements versus vehicle shapes.
The car interface balances visual information, notifications, and alerts for user preferences.
Designers prioritize honing notifications and alerts to build trust with human drivers.
Nonverbal cues such as turning indicators and head movements are incorporated into the interface.
The 3D scene includes dimmed buildings to provide context without distracting from driving.
Filtering information for riders is essential in enhancing the driving experience.
Design team focuses on user experience in vehicle features.
Emphasis on user delight and ease of use in implementing new features weekly.
Strive to balance necessary information with avoiding information overload.
Prioritize user experience by deciding when to draw attention versus providing ambient information.
Display red traffic light icons on screen only when vehicle is within range, enhancing user experience and safety.
Design process for self-driving car experiences.
Designers draw on consumer product experience and monitor trends in the auto industry's human-machine interface.
Factors like eye fatigue, readability, and heuristics are considered for optimal user interactions.
Passengers are the consumers, leading to a different interface experience compared to drivers.
Proactive communication is key in scenarios like heavy traffic during peak times to enhance user understanding and experience.
Proactive communication in self-driving cars.
The importance of alerting users about missed turns or emergency vehicles to build trust and reduce stress.
Utilizing audio and visual cues on the screen to help passengers understand the car's actions in different scenarios.
The proactive approach aims to reassure passengers that the car is aware of its surroundings and can respond appropriately, especially in construction zones.
Designers should show ideas rather than tell, as they have the ability to bring ideas to life and excite people.
The dream car mentioned is KITT from Knight Rider, representing a childhood fascination with a car that can drive itself and talk.
The segment concludes with gratitude and reminders to find more information in the show notes and subscribe to the podcast.