Redundant-target processing is robust against changes to task load

Stephanie Morey, Nicole Thomas, Jason McCarley

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)


    Monitoring visual displays while performing other tasks is commonplace in many operational environments. Although dividing attention between tasks can impair monitoring accuracy and response times, it is unclear whether it also reduces processing efficiency for visual targets. Thus, the current three experiments examined the effects of dual-tasking on target processing in the visual periphery. A total of 120 undergraduate students performed a redundant-target task either by itself (Experiment 1a) or in conjunction with a manual tracking task (Experiments 1b–3). Target processing efficiency was assessed using measures of workload resilience. Processing of redundant targets in Experiments 1–2 was less efficient than predicted by a standard parallel race model, giving evidence for limited-capacity, parallel processing. However, when stimulus characteristics forced participants to process targets in serial (Experiment 3), processing efficiency became super-capacity. Across the three experiments, dual-tasking had no effect on target processing efficiency. Results suggest that a central task slows target detection in the display periphery, but does not change the efficiency with which multiple concurrent targets are processed.

    Original languageEnglish
    Article number4
    Number of pages17
    JournalCognitive Research: Principles and Implications
    Issue number1
    Publication statusPublished - 1 Dec 2018


    • Capacity coefficient
    • Limited capacity
    • Multi-task
    • Redundancy gain
    • Redundant signals effect
    • Super-capacity
    • Target detection
    • Workload capacity
    • Workload resilience


    Dive into the research topics of 'Redundant-target processing is robust against changes to task load'. Together they form a unique fingerprint.

    Cite this