Confidence Horizon for a Dynamic Balance between Drivers and Vehicle Automation: First Sketch and Application
DOI: 10.54941/ahfe1002431
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Summary
This paper addresses the safety challenges associated with control transitions in conditionally and highly automated vehicles (SAE levels 3 and 4). As automation capabilities advance, the handover of the dynamic driving task between the automated system and the human driver poses significant risks, particularly at system limits or during failures. The authors argue that understanding these complex socio-technical interactions is critical for preventing accidents. To address this, the paper introduces the "Confidence Horizon" concept, a framework designed to dynamically balance control authority by continuously comparing the capabilities of the driver against those of the automated subsystem. The Confidence Horizon concept defines two distinct horizons: the technical subsystem’s confidence in its own ability to safely control the vehicle, and its confidence in the driver’s ability to take over control. This comparison allows the system to identify whether a transition between automation levels is safe, if a balanced control distribution exists, or if a minimum risk maneuver (MRM) is necessary. The framework is built upon a mediated human-machine cooperation model that divides cooperation into strategic, tactical, operational, and cooperational layers. A mediator assesses the driver’s intention and involvement to determine if a control transfer is feasible. The paper illustrates this using a theoretical model where overlapping capability areas represent a safety margin, while non-overlapping areas indicate a critical control deficit. The authors present a first application of this concept in a highway use-case involving a critical situation, such as an obstacle ahead. The system employs an inform-warn-intervene pattern. When a potential failure is detected, the automation evaluates if there is sufficient time for a safe control transfer. If a safety buffer exists, a two-stage multimodal warning is issued to engage the driver, with confidence horizon bars displayed on a Head-Up Display to aid situation awareness. If the driver cannot take over in time, or if the automation calculates a high risk of failure, the system prohibits takeover and executes an MRM. This design aims to improve human-machine cooperation efficiency in time-critical scenarios without requiring comprehensive driver training. The significance of this work lies in its potential to reveal safety-critical transitions at an early stage, thereby improving the design of future cooperatively automated vehicles. By providing a method to visualize and implement cooperation between users and automation, the Confidence Horizon concept offers a pathway to safer handovers. The authors conclude that while the target use-cases may be rare, their criticality makes them essential for system design. Future work involves evaluating this implementation in driving simulator studies against conventional setups to validate its effectiveness in system boundary and failure scenarios.
Key finding
The Confidence Horizon concept enables the identification of safe control transitions by comparing the overlapping capabilities of the driver and the automated system, allowing for timely interventions or minimum risk maneuvers when a control deficit is detected.
Methodology
theoretical
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-05 |
| archive | success | canonical_url | — | — | 1 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-07 |
| chunk | success | chunk | — | — | 1 | 2026-06-07 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-07 |
| promote | success | — | — | — | 1 | 2026-06-05 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | partial | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- automation
- automation surprise
- takeover transitions
- trust calibration
- situational awareness
- mode awareness
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Theoretical Contribution: conceptual framework