Explain how sensation and perception research could improve self-driving cars. Be sure to give specific examples.
What will be an ideal response?
Sense and perception research could help us build better self-driving cars because it helps us understand how human drivers react to common experiences when they are driving. Understanding these processes will help researchers build cars that will be able to process data and react in the way that a human driver would. For example, studies of time to collision have found that our visual system estimates the time until an approaching object will hit us by calculating the objects optical size per unit time. Studies of the size-arrival effect show that our perception of collision is affected by the relative sizes of objects. Our perceptions, however, are not always correct. Making safer self-driving cars thus means both teaching them to think like humans and correcting some human biases.
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