Examining the effect of infotainment auditory-vocal systems' design components on workload and usability

Biondi, FN; Getty, D; Cooper, JM; Strayer, DL · 2019 · publications_jsonl

DOI: 10.1016/j.trf.2019.02.006

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Summary

This study investigates the cognitive mechanisms underlying the interference between driving and language use, specifically testing the "crosstalk hypothesis." While it is well-established that conversing while driving impairs performance, the specific cause of this interference remains debated. The authors contrast two explanations: a domain-general account, which posits that interference arises from shared, limited attentional resources regardless of task content, and a domain-specific account (crosstalk), which suggests that language with visual or motor content interferes with driving because it engages the same perceptual and motor systems required for vehicle control. The research aims to determine whether linguistic content specifically drives distraction or if the mere act of processing language is sufficient to cause impairment. To test these competing hypotheses, the researchers conducted an experiment using a high-fidelity driving simulator. Ninety-three participants drove a simulated vehicle while simultaneously performing a language task involving true–false judgments of sentences. The study manipulated the content of the sentences into three categories: motor (describing actions), visual (describing visible objects/events), and abstract (e.g., geography or history). A control condition involved simple verbal compliance without semantic processing. The experiment included two versions: one where participants verbally responded "true" or "false," and another where they repeated or corrected the sentences, allowing the researchers to isolate effects of comprehension from production. Driving performance was measured using two dependent variables: braking reaction time (a low-level, operational measure of visual attention and motor control) and following distance (a higher-level, tactical measure of goal maintenance and working memory). The results provided evidence for both domain-general and domain-specific interference, depending on the measure used. Braking reaction times increased significantly in all three language conditions (motor, visual, and abstract) compared to the control condition, with no significant differences among the language types. This supports the domain-general account, indicating that the cognitive load of processing language inherently distracts drivers regardless of content. However, following distance increased significantly only in the visual condition compared to the abstract and control conditions, with the motor condition showing a non-significant trend toward increased distance. This pattern supports the crosstalk hypothesis, suggesting that language with visual content specifically interferes with the higher-level cognitive processes required to maintain a safe following distance, likely due to competition for visual working memory resources. The findings imply that driver distraction during conversation is multifaceted. The impairment in braking responses is a general consequence of divided attention, affecting all forms of language use. In contrast, the degradation in strategic driving behaviors, such as maintaining safe distances, is exacerbated when the conversation involves visual or motor content. This distinction has significant implications for public safety and the design of in-vehicle systems. It suggests that while any conversation poses a risk, content-rich conversations involving visual or action-oriented descriptions may be particularly hazardous for tasks requiring sustained visual monitoring and spatial reasoning. The study validates the crosstalk hypothesis in an ecologically valid setting, demonstrating that mental simulation during language comprehension can lead to modality-specific code conflict with driving tasks.

Key finding

Voice-system delay time and menu depth, but not recognition accuracy, drive increased mental workload and longer task durations, with delay time alone explaining a substantial share of variance in usability and sentiment ratings across twelve production infotainment systems.

Methodology

on_road

Sample size: 120 drivers (54 female), age 21-36 (M=25); 24 per vehicle across 12 vehicles; planned-missing design; 7 additional vehicles for validation

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via tag_papers on 2026-05-30 (3 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• voice interaction
• auditory
• mental demand
• infotainment
• temporal
• workload measurement

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).

• Applied Guidance: design guidelines
• Empirical Findings: self report data
• Theoretical Contribution: theory or model