What Is Worse than a Back-Seat Driver? A Remote One: Rethinking Teleoperation in Automated Vehicles

Bogg, Adam; Birrell, Stewart; Medojevic, Marko; Vincent, Kevin · 2026 · Crossref

DOI: 10.3390/smartcities9060094

archive: archived pipeline: cataloged verified

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Summary

This review paper addresses the critical gap between the commercial optimism surrounding remote operations (RO) for automated vehicles (AVs) and the operational realities of human factors. The authors challenge the prevailing industry assumption that in-vehicle safety officers (SOs) can be seamlessly replaced by remote operators (ROs) supervising multiple vehicles from a central location. While commercial models often propose high operator-to-vehicle ratios to achieve economic viability, the paper argues that remote driving is fundamentally distinct from in-vehicle driving, introducing unique challenges that degrade safety and performance. The research is motivated by the need to reframe the debate from technical feasibility ("Can we teleoperate?") to human-centered appropriateness ("Under what conditions should we?"), particularly given evidence that AVs remain error-prone and require human intervention. The methodology involves a comprehensive synthesis of existing literature on remote vehicle operations, including reviews, empirical studies, and legal analyses. The authors critically evaluate prior surveys, noting that many previous works were hypothetical, focused narrowly on technology, or lacked empirical data on human performance. By mapping recurring human-factor limitations to proposed remote tasks—such as remote driving, remote assistance, and remote monitoring—the authors identify specific constraints imposed by communication latency, bandwidth limitations, and fragmented attention. The analysis contrasts the direct sensory input and wired controls available to in-vehicle SOs with the delayed, incomplete information feeds and wireless interfaces used by ROs. The findings indicate that remote driving is significantly more difficult and less safe than in-vehicle driving. Key human-factor challenges include degraded situational awareness, increased cognitive workload, and reduced capacity for timely intervention due to data transfer latency and the inability to use natural senses. The paper highlights that while humans can provide valuable remote assistance to solve novel or complex problems that AVs cannot handle, the task of actively driving remotely introduces unacceptable risks. Furthermore, the authors note that passenger interactions add a layer of complexity to remote scenarios that is often overlooked in current models. The synthesis reveals a widening gap between commercially desirable scaling models and operationally appropriate safety standards. The significance of this work lies in its targeted recommendations for designers, operators, and regulators. The authors conclude that remote driving should be avoided or kept to an absolute minimum, advocating instead for a model where humans support AVs by solving specific problems rather than taking over driving tasks entirely. The paper urges the industry to question the scaling of teleoperation models and to prioritize human-centered design that accounts for the distinct cognitive and perceptual limitations of remote operators. By shifting the focus to the appropriateness of specific RO roles, the research provides a framework for developing safer, more realistic deployment strategies for automated vehicle services.

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Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified_with_issues.

Topics

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• teleoperation remote driving
• automation
• driverless ads
• automation complacency bias
• automation surprise
• manual

Information type

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• Applied Guidance: design guidelines
• Theoretical Contribution: conceptual framework