Developing Situational Awareness for Joint Action with Autonomous Vehicles

Fuente: arXiv
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Autores principales: Kaufman, Robert, Kirsh, David, Weibel, Nadir
Formato: Preprint
Publicado: 2024
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author Kaufman, Robert
Kirsh, David
Weibel, Nadir
author_facet Kaufman, Robert
Kirsh, David
Weibel, Nadir
contents Unanswered questions about how human-AV interaction designers can support rider's informational needs hinders Autonomous Vehicles (AV) adoption. To achieve joint human-AV action goals - such as safe transportation, trust, or learning from an AV - sufficient situational awareness must be held by the human, AV, and human-AV system collectively. We present a systems-level framework that integrates cognitive theories of joint action and situational awareness as a means to tailor communications that meet the criteria necessary for goal success. This framework is based on four components of the shared situation: AV traits, action goals, subject-specific traits and states, and the situated driving context. AV communications should be tailored to these factors and be sensitive when they change. This framework can be useful for understanding individual, shared, and distributed human-AV situational awareness and designing for future AV communications that meet the informational needs and goals of diverse groups and in diverse driving contexts.
format Preprint
id arxiv_https___arxiv_org_abs_2404_11800
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Developing Situational Awareness for Joint Action with Autonomous Vehicles
Kaufman, Robert
Kirsh, David
Weibel, Nadir
Human-Computer Interaction
Artificial Intelligence
Robotics
Unanswered questions about how human-AV interaction designers can support rider's informational needs hinders Autonomous Vehicles (AV) adoption. To achieve joint human-AV action goals - such as safe transportation, trust, or learning from an AV - sufficient situational awareness must be held by the human, AV, and human-AV system collectively. We present a systems-level framework that integrates cognitive theories of joint action and situational awareness as a means to tailor communications that meet the criteria necessary for goal success. This framework is based on four components of the shared situation: AV traits, action goals, subject-specific traits and states, and the situated driving context. AV communications should be tailored to these factors and be sensitive when they change. This framework can be useful for understanding individual, shared, and distributed human-AV situational awareness and designing for future AV communications that meet the informational needs and goals of diverse groups and in diverse driving contexts.
title Developing Situational Awareness for Joint Action with Autonomous Vehicles
topic Human-Computer Interaction
Artificial Intelligence
Robotics
url https://arxiv.org/abs/2404.11800