Comparison of Static and Driving Simulator Venues for the Tactile Detection Response Task

Engström, Johan; Larsson, Pontus; Larsson, Christian · 2013 · Crossref

DOI: 10.17077/drivingassessment.1514

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Summary

This study validates a low-cost, static version of the Tactile Detection Response Task (TDRT) as a surrogate for the more resource-intensive driving simulator venue in evaluating driver-vehicle interfaces. The Detection Response Task measures driver attention by requiring participants to respond to tactile stimuli while performing secondary tasks. While driving simulators offer ecological validity, they are costly and labor-intensive. The static venue, which omits the driving task, is more practical for industrial product development but raises concerns about whether its lower overall task demand allows results to generalize to driving conditions. The research aimed to determine if the effect of the venue is additive across different secondary tasks, which would support the static venue’s validity, and to assess sensitivity to manipulations of cognitive and visual-manual load. Sixteen male truck drivers participated in a within-subjects experiment comparing static and driving simulator venues. In the driving simulator, participants performed free driving on a motorway while executing secondary tasks; in the static venue, they sat in the same cabin without driving. Secondary tasks included an n-back task (varying cognitive load), a Surrogate Reference Task (SuRT, varying visual-manual load), and a Siri voice-assistant task. TDRT performance was measured via response time and hit rate, alongside secondary task accuracy and subjective workload ratings. The study employed a repeated-measures design with counterbalanced venue orders to control for learning effects. Results indicated that TDRT response times were consistently lower in the static venue than in the driving simulator, confirming the lower baseline demand. Crucially, there was no significant interaction between venue and secondary task, suggesting the venue effect was additive and supporting the static venue as a valid surrogate for general interface evaluation. Both venues showed sensitivity to cognitive load, with the 1-back task yielding significantly longer response times than the 0-back task. However, a counterintuitive finding emerged for the SuRT: in the static venue, the "Easy" version produced significantly longer TDRT response times than the "Hard" version, despite subjective workload ratings indicating the Hard version was more demanding. This discrepancy was attributed to motor interference; the self-paced Easy SuRT required more frequent button presses per minute, causing specific manual conflict with the TDRT response hand. The findings provide preliminary support for using the static TDRT venue in industrial settings, particularly for tasks without excessive manual demands, such as voice control. The additive nature of the venue effect suggests that static testing can reliably detect differences in task demand. However, the study highlights limitations: the driving task used was non-demanding, and the static venue may mask cognitive load effects when secondary tasks involve high-frequency manual operations due to motor interference. The authors conclude that while the static venue is a practical tool for early-stage development, further research is needed to verify its validity across more demanding driving conditions and a wider range of naturalistic tasks.

Key finding

The static TDRT venue produced additive effects on response times compared to the driving simulator venue across various secondary tasks, supporting its use as a surrogate for interface evaluation, although specific motor interference may confound results for tasks with high manual operation rates.

Methodology

simulator

Sample size: 16

Provenance

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

Topics

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• workload measurement
• mental demand
• simulator validity fidelity
• temporal
• manual
• dual task performance

Information type

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