Bundled or Separated? How ADAS Architecture Shapes Mode Confusion and Driver Control Behavior

Effective human–automation interaction requires alignment between driver mental models and system control logic. In driver assistance systems, this alignment is shaped by architecture: how functions are bundled and states are communicated. This study examined how three ADAS architectures influence driver understanding of system state, responsibility allocation, and driving behavior. Thirty-six licensed drivers completed a CARLA-based simulator study under one of three conditions: modular, where features required explicit activation within separate boundaries; integrated, where functions were bundled under one control logic and transitioned automatically; or hybrid, where longitudinal functions were combined while lateral control remained separate. All architectures offered adaptive cruise control, stop-and-go car-following, and lane centering assist. Longitudinal mode confusion did not differ significantly across architectures, but lateral mode confusion did. The integrated design showed the most behavioral conflicts, more abrupt lateral engagement, and the highest ADAS utilization. These findings highlight a tradeoff between interaction simplicity, boundary clarity, and driver awareness.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2026-09-28
DOI
https://doi.org/10.1177/10711813261493616
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Bundled or Separated? How ADAS Architecture Shapes Mode Confusion and Driver Control Behavior

Jesudara Omidokun, Areen Alsaid, John K. Lenneman, Duha Alkurdi
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Human-Automation Interaction and Safety
article

Bundled or Separated? How ADAS Architecture Shapes Mode Confusion and Driver Control Behavior

Jesudara Omidokun, Areen Alsaid, John K. Lenneman, Duha Alkurdi
article en

Abstract

Effective human–automation interaction requires alignment between driver mental models and system control logic. In driver assistance systems, this alignment is shaped by architecture: how functions are bundled and states are communicated. This study examined how three ADAS architectures influence driver understanding of system state, responsibility allocation, and driving behavior. Thirty-six licensed drivers completed a CARLA-based simulator study under one of three conditions: modular, where features required explicit activation within separate boundaries; integrated, where functions were bundled under one control logic and transitioned automatically; or hybrid, where longitudinal functions were combined while lateral control remained separate. All architectures offered adaptive cruise control, stop-and-go car-following, and lane centering assist. Longitudinal mode confusion did not differ significantly across architectures, but lateral mode confusion did. The integrated design showed the most behavioral conflicts, more abrupt lateral engagement, and the highest ADAS utilization. These findings highlight a tradeoff between interaction simplicity, boundary clarity, and driver awareness.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Toyota Motor North America (United States) (US), University of Michigan–Dearborn (US)
Openalex Percentile: Top 7%
Human-Automation Interaction and Safety
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Bundled or Separated? How ADAS Architecture Shapes Mode Confusion and Driver Control Behavior — Jesudara Omidokun, Areen Alsaid, et al. · Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2026) | TGRS Research Map | TGRS