Being good (at driving): Characterizing behavioral expectations on automated and human driven vehicles
Laura Fraade-Blanar (1), Francesca Favar\`o (1), Johan Engstrom (1),, Melissa Cefkin (2), Ryan Best (3), John Lee (4), Trent Victor (1) ((1) Waymo,, LLC, (2) Santa Clara University, (3) West Virginia University, (4) University, of Wisconsin-Madison)

TL;DR
This paper introduces the concept of Drivership to evaluate good driving behaviors for both human and automated vehicles, emphasizing societal expectations and stakeholder values to improve safety and social integration.
Contribution
It proposes a novel framework of Drivership based on societal expectations, introducing new vocabulary and applying it to safety assessment and behavioral benchmarking.
Findings
Defines Drivership as a societal expectations framework
Introduces new vocabulary for stakeholder expectations
Supports safety evaluation and behavioral benchmarking
Abstract
For over a century, researchers have wrestled with how to define good driving behavior, and the debate has surfaced anew for automated vehicles (AVs). We put forth the concept of Drivership as a framing for the realization of good driving behaviors. Drivership grounds the evaluation of driving behaviors in the alignment between the mutualistic expectations that exist amongst road users. Leveraging existing literature, we distinguish Empirical Expectations (i.e., reflecting "beliefs that a certain behavior will be followed," drawing on past experiences) (Bicchieri, 2006); and Normative Expectations (i.e., reflecting "beliefs that a certain behavior ought to be followed," based on societally agreed-upon principles) (Bicchieri, 2006). Because societal expectations naturally shift over time, we introduce a third type of expectation, Furtherance Expectations, denoting behavior which could be…
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Autonomous Vehicle Technology and Safety · Transportation and Mobility Innovations
