The effects of secondary task performance on the temporal and spatial cueing of visual attention

Cooper, JM · 2010 · publications_jsonl

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Summary

This dissertation investigates how performing a secondary task affects the acquisition and expression of visual sequence knowledge, addressing the phenomenon of "multitasking-induced context blindness." While previous research established that dual-task performance causes general response delays, this study explores whether secondary tasks also impair access to task-relevant memory representations that guide visual attention. The research aims to extend theoretical understanding from controlled laboratory settings to naturalistic environments, specifically simulated driving, to determine if secondary tasks hinder the learning of spatial and temporal patterns or merely suppress the expression of already learned knowledge. The study comprises five experiments utilizing a consistent practice/transfer design to dissociate knowledge accrual from its expression. Experiments 1 through 3 employed laboratory-based paradigms: Experiment 1 used a serial response task to assess temporal sequence learning; Experiments 2 and 3 utilized contextual cueing tasks to evaluate spatial layout recognition. In these experiments, participants performed primary visual/manual tasks while either engaging in a secondary tone-counting task or performing the task alone. Experiments 4 and 5 extended this framework to a simulated driving environment. Experiment 4 paired driving with tone counting, while Experiment 5 paired driving with naturalistic conversation. Across all studies, participants practiced under single- or dual-task conditions and then transferred to the opposite condition, allowing researchers to measure response time facilitation, explicit memory recall, and response errors for repeated versus novel sequences. The results consistently demonstrated that secondary task performance reduced the accrual of visual sequence knowledge and impaired the expression of that knowledge. In the laboratory tasks, dual-task conditions led to slower response times and diminished benefits for repeated sequences compared to single-task conditions. Crucially, the practice/transfer design revealed that secondary tasks interfered with both the initial learning of sequences and the subsequent retrieval of that knowledge. These findings held true in the simulated driving tasks, where both tone counting and naturalistic conversation disrupted the drivers' ability to utilize spatial and temporal context to guide attention. Explicit memory measures further supported the conclusion that dual-task demands compromised the formation and access of sequence representations. The significance of these findings lies in their extension of the dual-task impairment theory to complex, real-world environments. The results suggest that multitasking does not merely cause general slowing but specifically disrupts the memory-driven guidance of visual attention. This impairment affects both the acquisition of new environmental patterns and the retrieval of existing expertise, potentially explaining why drivers fail to anticipate hazards or adjust behavior in familiar contexts when distracted. By demonstrating that secondary tasks suppress both learning and expression in driving simulations, the study highlights the critical role of memory-driven attention in skilled performance and the substantial risks posed by multitasking in safety-critical domains.

Key finding

Secondary task engagement affects the temporal and spatial cueing of visual attention, with dual-task conditions showing reduced ability to allocate attention across the visual field compared to single-task driving.

Methodology

simulator

Sample size: 19

Provenance

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

Topics

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• dual task performance
• temporal
• task switching
• dual task multitasking
• attention selective divided
• visual search

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).

• Empirical Findings: behavioral performance data
• Methodological Resource: measurement protocol