Humans, intelligent technology, and their interface: a study of Brown's Point

Abstract

The integration of self-driving vehicles introduces a unique and unprecedented human-machine interface that brings promise and peril. Several socially constructed theories try to explain this human-intelligent machine interface and predict how the future will look. This thesis offers a counter-narrative called Brown's Point that suggests an alternative way of thinking about this relationship. The first Autopilot fatality offers a window into the human considerations needing attention as these intelligent machines, such as self-driving vehicles, combine with humans. How can the human-machine interface be optimized to ensure it offers the most benefit and safety for humanity? This thesis investigated the causal variables that led to the first Autopilot fatality by using Joshua Brown's interface with the technology before and during the accident. I combined the findings from the accident investigation with various heuristics regarding the human-machine interface, theories from cognitive psychology, and sociological constructs to determine how Brown came to trust a machine he knew was fallible.