Automatic Cars Or Distracted Drivers: We Need Automation Sooner, Not Later
Don Norman
Board member NN/g (Nielsen Norman group) and DNDA (Don Norman Design Award--and Summit)
Imperfect automation, continually getting better? Or distracted drivers, continually getting worse? Choose.
I am fearful of the rapid rush toward full automation and have published numerous articles about the difficulties we will face because of the mismatch of the automation and human behavior. However, I am even more fearful of the rapid rise of distracting devices installed in automobiles, mounted on dashboards, worn on the wrist or body, or carried on seats, pockets, and laps of drivers.
Automation of automobiles today is imperfect. The best vehicles, for example those designed by Google, are prototypes, still far too expensive for mass manufacturing. The automation now on the road and under development by the traditional manufacturers is remarkably good, especially on the highways, but still unable to manage all the complexities of city driving (a task that average drivers also have difficulty with).
Human driving is imperfect, hence the large number of deaths and injuries: Driver distraction is on the rise. Whether it is adjusting the car’s indoor temperature, changing the music being played, or reading or answering texts, distractions take the eyes off the road for considerable time. How much is too much? At 60 mph (100 kph), in one second the driver has gone roughly 90 feet (30 meters). In the city, at 6 miles/hour (10 kph), this translates to 9 feet (3 meters): one second of distraction is quite enough to collide with another vehicle on the highway or run over a pedestrian in a crowded street.
Each day seems to bring a new distraction. Heads-up displays (HUDs) that once were aids to minimizing distraction by making it easier for the driver to see navigation aids and speed, are now catching featuritis, that deadly disease which corrupts products. Now HUDs show information about the song being played and at least one company proposes being able to do videoconferences with the image of the other person hovering in the air in front of the automobile. We know from aviation’s use of HUDs that when reading the display, people do not see objects on the roads (or runways), even though their eyes are pointed right at them.
Automation is imperfect, but it is continually getting better. Distractions are dangerous, and continually becoming more pervasive, more numerous. This leads to the obvious conclusion:
Today’s imperfect automation is preferable to today’s distracted and imperfect drivers. The sooner we can get automated cars on the road, the better.
We know that today’s automation is not capable of handling all the situations that take place on the roads today, especially in crowded cities with erratic behavior and on badly maintained roads where lane markings are non-existent and even road boundaries are difficult to discern. The biggest hurdle facing full automation today is dealing with the unregulated, largely unpredictable behavior of other road users, coupled with the complexities of the transition, when we will have older, manually controlled cars along with semi-autonomous vehicles sharing the road with fully autonomous vehicles.
Partial automation has its problems, the major one being the requirement that a human driver always be attentive, ready to take over when things go wrong. This is impractical: the better the automation, the less attention drivers will pay to the road, and even a one or two second delay in regaining control is too long for safety and too short for most people to understand the situation, respond, and have the car behave appropriately.
Laws are ineffective against distraction. People will talk, text, read, sleep, eat, pick up dropped items, and even change clothes while driving. The evidence is there: it is already happening. I predict that within the next decade, automation will be good enough to reduce the number of accidents and deaths in the world. More importantly, automation will be on an ever-increasing trajectory of improvement in safety and reliability.
In the United States over 30,000 people are killed each year in automobile accidents. Over 1 million are injured. In the world, the World Health Organization estimates deaths at over 1 million and injuries between 20 and 50 million.
Think of automobile driving as a disease that kills and disables. If this were a biological disease that affected the same number of people, there would be an outcry and action taken to control the epidemic. When should we switch to automated vehicles? As soon as we are determine that automation can significantly reduce deaths and injuries. We will need to do controlled tests in order to know that the cure – automation – is indeed better than the ailment – human drivers.
After we introduce full automation, there will still be accidents, injuries and deaths. Worse, because of the tight coupling of one automated auto to another, when there is an accident it is apt to involve multiple vehicles with a large number of deaths and injuries. But the fundamental question is whether there has been a significant reduction in deaths and injuries. Even if 10,000-20,000 people per year die in automated vehicles, that would be a huge decrease in deaths. And every year the automated vehicles will become safer.
I have long argued that we need to go slow with automation in the automobile (e.g., see my paper, The Human Side of Automation). There were still too many unsolved problems. I have now changed my mind. Why? Because there are far more problems with the increasing number of distractions for drivers, too many new devices, too many new temptations. Imperfect driving is potentially more dangerous than imperfect automation. Add to this the other benefits to those today who are unable to drive: the elderly, the handicapped, and of course the blind.
Automation versus distraction? I bet on automation, and the sooner the better.
Don Norman wears many hats, including Director of the newly established Design Lab at the University of California San Diego (which is doing research on automated vehicles), cofounder of the Nielsen Norman group, professor (Harvard, UC San Diego, Northwestern, KAIST, Tongji), business exec (former VP at Apple and executive at HP), on company boards and company advisor, and author of best-selling books on design: Emotional Design, Living with Complexity, and Design of Everyday Things. Learn more at jnd.org.
Designer multimédia, Gestor Conteúdos, Solucionador Criativo, Consultor de Empresas, Professor Filosofia e Formador EFA.
8 年I hope that car automation doesn't forget about the fact that there's also motorbikes on the road. Whenever there's a traffic jam or when cars are stopped at the traffic lights, it's a usual scenario for motorbike drivers to light signal the car drivers to pull aside a little in order for them to pass through or just alerting that they are passing, thus avoiding inadvertent mouvements or the opening of a door that could easily cause an accident. Now considering ?Full Self-Driving Automation (Level 4)? I wonder what kind of behaviour should/could be implemented in the cars in order to make the ?right? choice to avoid an accident: either keep the car still or pull aside the necessary inches to avoid the accident-as the case may be! Cars need to be intelligent enough to insert themselves in the flux of traffic by sensing not only the mouvements of the cars ahead and behind them but also to sense and and make ?the right choices? and respond in apt time to the rather erratic motorbike mouvements in terms of speed and direction that take place on the road (because riding a motorbike is all about telling the machine ?who's in charge? I doubt seriously that people would wish to buy and ride automated ones). Well one thing's for sure, with full automation we should at least expect to count less accidents due to drivers bad temper. As for the scenario of the auto-updating software of an automated car or motorbike in a motorway, that's one I hope we'll never have to fear for the sake of us all. Totally agree that HUD's should be helpers and give hints for the human driver and not be a focus of distractions and a cause for more accidents (as is expected to happen with automation levels 1 to 3).
Experto Profesional SERNAGEOMIN B | Experto Profesional Servicio de Salud Chile | HSE & Risk Management | #ICAM Implementation & Training | Bow Tie y Controles Críticos | Process Safety
9 年I agree with Rao, I guess we understand the point of selling technology and offering it as a solution to a problem,but insteadnI do not think technology gets rid of problems in this case but gets rid of responsibility and I mean the responsibility we have when seating in front of the steering wheel! In that sense, who will be responsible in an accident if the car was in full auto mode and the driver was texting or reading the news? I mean it is not all about driving but what happens also arround. This may be an option in enclosed highways.
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9 年Don Norman, gostaria de me comunicar com você!
Maritime Leader, Management Consultant, Senior Naval Engineer and ex-Seafarer delivering meaningful change | Views expressed are my own and do not necessarily reflect the views of Bureau Veritas.
9 年Thanks for the great article! We are suffering massive congestions in Sydney, Australia every single day and it's the worsest in the whole country. I've been following driverless car development for a while and I'm excited about automated systems taking control off drivers. Limiting drivers to have control of their vehicles within certain radius of the CBD could reduce accidents significantly due to human tendency being frustrated and stubborn when rushing to work, dropping of kids to school or driving back home after long day at work. Today's technology guiding aero planes to airports using autopilot could be partly utilised guiding cars in cities. There could be control stations similar to air traffic control around the city feeding information to cars which then optimise the speed and route to their destinations. However, there are still many questions to be answered before these cars will ease congestions by making people passengers rather than drivers. I'm willing to do my part to solve it and helping cities to become more sustainable and getting people safely to their destinations.
Lead User Experience Researcher at Genesys
9 年I appreciate you including "mismatch of the automation and human behavior" in your concerns as well as the necessity to "go slow" in automation. I think these are some of the very reasons why ethnographic research is particularly helpful to design research engineering. Recently I conducted research on "the social life of the car" led by Dr. Brigitte Jordan and Dr. Christina Wasson for the Nissan Research Center in Silicon Valley that is working on the engineering of self-driving cars. There they have taken an interest in the human side of driving. Understanding degrees of distraction and activity that occur in the car on a daily basis can better inform the design of automated vehicles. However as anthropologists we also conducted a sort of thought experiment into the perils of having self-driving cars ubiquitous on the road and came up with a variety of other issues associated with the phenomenon. Autonomous Vehicle (AV) technology comes in levels 1-4, most cars come standard now with level 1 and 2 features whereas level 4 is the fully autonomous car. Participants in our study consistently agreed that even if their car had level 4 AV technology they would still require the ability to go back to manual control in case something happened where a human driver was needed. In those cases you still need training of drivers and a degree of attentiveness to the road. Having fully autonomous vehicles may still not avoid serious accidents on the road.