Developing Situational Awareness for Joint Action with Autonomous Vehicles
This addresses the challenge of improving rider trust and adoption of autonomous vehicles by enhancing informational support, though it appears incremental as it builds on existing theories.
The paper tackles the problem of designing effective human-AV interactions to support situational awareness, proposing a systems-level framework based on cognitive theories to tailor communications for goals like safety and trust.
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.