Assessing the visual and cognitive demands of in-vehicle information systems
DOI: 10.1186/s41235-019-0166-3
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Summary
This study addresses the significant safety risks associated with driver distraction caused by complex, multimodal in-vehicle information systems (IVIS). Despite the ubiquity of features allowing motorists to perform secondary tasks like texting, navigation, and audio entertainment, there is limited empirical understanding of how these interactions impact driver workload. The research was motivated by the need to determine if specific task types, interaction modes, or vehicle designs are more impairing than others, and whether many current IVIS features are too distracting to be enabled while driving. To answer these questions, the researchers conducted dynamic testing involving 24 participants across multiple vehicle models. Participants performed up to four task types (audio entertainment, calling/dialing, text messaging, and navigation) using up to three interaction modes (center stack visual/manual, auditory/vocal, and center console). Workload was assessed using converging performance measures, including subjective ratings via the NASA-Task Load Index and objective metrics derived from Detection Response Tasks (DRT). To standardize workload across different vehicles, the study utilized referent tasks: an N-back task to benchmark cognitive demand and a Surrogate Reference Task (SuRT) to benchmark visual demand. These referents allowed the calculation of Cognitive Demand Ratios (CDR) and Visual Demand Ratios (VDR), providing an objective comparison of IVIS interactions against high-workload baselines. The results demonstrated that driver workload systematically varied as a function of the specific task, the mode of interaction, and the vehicle design. The study found that many IVIS features, particularly those involving complex multimodal interactions, imposed high levels of visual and cognitive demand. For instance, 65% of the tested vehicles supported texting and 25% allowed destination entry while in motion, activities that were associated with significantly higher demand ratings. The objective assessment indicated that these interactions diverted attention from the primary task of driving, often exceeding acceptable safety thresholds. The authors conclude that many current IVIS features are too distracting to be enabled while a vehicle is in motion. They argue that greater consideration should be given to restricting which interactions are available during driving, rather than simply expanding the range of features. Recommendations include locking out high-demand activities and shortening task interaction times to reduce overall driver demand. The study implies that automakers and regulators must prioritize safety by limiting the availability of complex visual-manual and cognitive tasks, aligning with guidelines that discourage time-consuming interactions while driving.
Key finding
Driver workload associated with in-vehicle information system interactions systematically varied as a function of the task type, mode of interaction, and vehicle design, with many features found to be too distracting for use while driving.
Methodology
on_road
Sample size: 24
Provenance
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | — | — | — | 1 | 2026-05-06 |
| archive | success | unpaywall | — | — | 3 | 2026-06-06 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | — | — | — | 1 | 2026-05-06 |
| promote | success | — | — | — | 1 | 2026-05-06 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Applied Guidance: design guidelines
- Empirical Findings: behavioral performance data
- Methodological Resource: measurement protocol