Entangled Intelligent Driving: Relations with Automated Cars

As machines become increasingly intelligent, the HCI community is presented with new challenges regarding methods to capture and understand user experience (UX). In the case of autonomous driving (AD), this involves new scenarios where humans and intelligent vehicles need to act together in real-life traffic situations with other road users. This article responds to this context by 1) outlining a longitudinal design ethnography method whereby participants drove semiautonomous cars in their everyday environments to capture such human-machine relations in real-life settings, 2) demonstrating the complexities of the relations between humans and AD vehicles, 3) engaging theories of socio-materiality and entanglement to understand the human-machine relations of AD cars, and 4) identifying anticipatory experiences that emerge from these relations and their implications for informing UX design.

Automated summary

This article explores the relationship between humans and autonomous driving vehicles using a longitudinal design ethnography method, incorporating theories of socio-materiality and entanglement, while identifying anticipatory experiences that arise from these relationships and their implications for informing UX design.