Social interactions between automated vehicles and human drivers: a narrative review.

Ergonomics

Center for Psychological Sciences, Zhejiang University, Hangzhou, China.

Published: December 2024

AI Article Synopsis

  • - Roads serve as social spaces where people communicate, cooperate, and compete, but the advent of automated vehicles (AVs) complicates these interactions, necessitating a better understanding of human-AV dynamics.
  • - The review synthesizes various empirical studies comparing human-human and human-AV interactions, revealing mixed results on how these encounters affect driving behavior, with a tendency towards negative outcomes.
  • - Negative interactions can occur in both directions: humans may drive more aggressively around AVs, while AVs can negatively influence human drivers' behavior, underscoring the need for further research into these social dynamics.

Article Abstract

Roads are social spaces where human road users engage in communication, cooperation, and competition. With the introduction of automated vehicles (AVs) into this space, it becomes crucial to understand human-AV social interactions. This narrative review examines current research in this emerging field, synthesising insights from empirical studies that compare human-human interactions (regular traffic) with human-AV interactions (mixed traffic). We reviewed empirical studies using survey experiments, simulator experiments, test-track experiments, on-road observations, and AV accident analysis. They present mixed evidence on the influences of human-AV interactions in mixed traffic, with an overall negative trend. Negative influences are bi-directional: humans may interact with AVs less cautiously, such as driving more aggressively or exploiting AVs, while AVs can induce negative changes in driver behaviours, including exerting negative peer influences and creating challenges for drivers. We develop a typology of problematic social interactions and highlight outstanding research opportunities.

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Source
http://dx.doi.org/10.1080/00140139.2024.2435038DOI Listing

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