Examining potential confounds in use of the detection response task for in-vehicle system evaluation

Goethe, RM; McCarty, MM; Cooper, JM; Goethe, R · 2017 · publications_jsonl

DOI: 10.3141/2663-09

archive: archived pipeline: cataloged verified

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Summary

This study investigates potential confounds in using the Detection Response Task (DRT) to assess cognitive workload during in-vehicle system interactions. The DRT, specified in ISO 17488, measures attentional resources by requiring drivers to respond to intermittent stimuli. While validated for purely cognitive tasks, its utility for visual-manual tasks remains uncertain due to concerns that the DRT’s motor response requirements might interfere with secondary tasks via a motor bottleneck. The authors aimed to determine if the DRT generally interferes with concurrent tasks, selectively interferes with visual-manual interfaces, and accurately measures cognitive load in these contexts. The experiment employed a 2 (DRT: Present/Absent) x 3 (Interaction Modality: Steering Wheel, Touch Screen, Voice Recognition) within-subjects design. Twenty-four participants performed 20 audio entertainment tasks in a stationary 2016 Honda Accord. The DRT involved a tactile vibration on the left collarbone, requiring a finger press on a micro-switch attached to the left hand. Dependent measures included Time on Task, DRT Reaction Time (RT), and Hit Rate. The study compared task performance with and without the DRT across the three interaction modalities to evaluate interference and measurement validity. Results indicated that the presence of the DRT significantly increased Time on Task by approximately 10% across all modalities, but this effect was consistent regardless of interaction type, showing no significant interaction between DRT presence and modality. This suggests the DRT imposes a general, modest workload increase rather than selectively interfering with visual-manual tasks. DRT Reaction Times varied significantly by modality: Steering Wheel tasks yielded the slowest RTs (704.84 ms), followed by Voice Recognition (643.60 ms), and Touch Screen (561.82 ms). Hit rates also differed significantly, with Touch Screen showing the highest accuracy (0.981) and Steering Wheel the lowest (0.939). The authors attribute the RT differences to task pacing constraints rather than motor conflict; Steering Wheel and Voice Recognition tasks discouraged interruption, whereas Touch Screen allowed free interruption, facilitating faster DRT responses. The findings support the validity of the DRT for assessing cognitive load in visual-manual tasks, as the lack of interaction between DRT presence and modality indicates that motor response conflicts do not significantly confound the measure. The study concludes that while the DRT adds minor workload, it does not differentially interact with tasks based on visual-manual demands. The authors suggest that previous failures of the DRT to discriminate between easy and hard visual tasks may stem from self-paced task dynamics rather than motor interference. Future research should extend these findings to dynamic driving environments and analyze fine-grained timing of motor inputs to further isolate cognitive from motor effects.

Key finding

Tactile DRT picks up cognitive demand of visual-manual IVIS interactions but increases task completion time modestly, requiring correction when used with visual-manual tasks.

Methodology

lab_experiment

Sample size: 24

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 author_sweep_intake on 2026-05-28 (5 acquisition events logged).

Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified.

Topics

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• workload measurement
• mental demand
• temporal
• manual
• dual task performance
• visual manual

Information type

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• Empirical Findings: behavioral performance data
• Methodological Resource: measurement protocol, validation psychometrics