N-back Temporal Stability: The Auditory N-back Task as an Unstable Measurement Standard

Wheatley, Camille L.; Cooper, Joel M.; Crabtree, Kaedyn W.; Wise, Ashleigh V. T.; Motzkus, Conner J.; Castro, Spencer C.; Strayer, David L. · 2019 · Wheatley CL, Cooper JM, Crabtree KW, et al.

archive: archived pipeline: cataloged verified

Get this paper ↗ (search — opens at the source; we link to it, we don't host it)

Summary

This study investigates the "productivity illusion" associated with distracted driving, specifically examining whether using a cell phone while driving actually enhances productivity or merely creates a false sense of competence. The authors were motivated by prior findings that drivers claim to use phones to get work done and believe they can multitask safely, despite evidence that multitasking impairs cognitive control. The central hypothesis was that divided attention forces drivers to rely on reconstructive, error-prone memory processes rather than accurate rote reproduction, thereby diminishing actual productivity while inflating subjective estimates of performance. To test this, the researchers employed a within-subject design using a high-fidelity driving simulator and the Deese–Roediger–McDermott (DRM) false memory paradigm. Twenty-three participants completed three conditions: single-task driving, single-task memory encoding and retrieval, and a dual-task condition combining both. In the driving task, participants followed a pace car, with performance measured by brake reaction time and following distance. In the memory task, participants listened to semantically related word lists and recalled them, with performance measured by accurate recall of presented items and false recall of non-presented "lure" words. The dual-task condition required simultaneous execution of both tasks. The results demonstrated bidirectional interference, where divided attention impaired both driving and memory performance. Drivers exhibited significantly slower brake reaction times in the dual-task condition (1130 ms) compared to single-task driving (1020 ms). Memory performance showed a dissociation: accurate recall of studied items decreased significantly under dual-task conditions (.30) compared to single-task (.36), while false recall of lure items remained statistically stable, though numerically higher. Consequently, the "reconstructive memory quotient" (false recall divided by accurate recall) increased significantly in the dual-task condition, indicating a greater reliance on error-prone reconstructive processes when attention was divided. The authors conclude that the belief that multitasking increases productivity is an illusion. Divided attention compromises working memory and cognitive control, leading to poorer driving safety and degraded memory accuracy. Because drivers may not notice these objective impairments due to reduced monitoring capabilities, they rely on egocentric biases and reconstructive memory, which can inflate their subjective sense of competence. The study highlights the value of applied cognitive neuroscience in demonstrating that laboratory findings on working memory generalize to real-world contexts, revealing that multitasking during driving is counterproductive and potentially dangerous.

Key finding

The auditory N-back task is NOT stable over repeated use: accuracy increases toward ceiling and cognitive workload decreases significantly across 26 sessions. Improvement transfers to novel digit sequences (general strategy acquisition, not sequence-specific learning). Likely driven by subvocal rehearsal strategy adoption and/or automatization of component processes. Has implications for multi-session studies using N-back as a cognitive reference task — workload estimates will be systematically biased downward in later sessions.

Methodology

on_road

Sample size: Exp 1: N=10 (5F), Mage=25.4; Exp 2: N=20 (10F), Mage=26.5. Both from larger IVIS evaluation (Strayer et al., 2017).

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).

StageOutcomeToolModelPromptAttemptsCompleted
discover success 1 2026-05-07
archive failed pmc 8 2026-06-04
extract success pdf_extracted 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-07
promote success 2 2026-06-06
summarize success llm qwen3.6-27b-prismaquant summ-v5 2 2026-06-10
tag success vector_similarity 17 2026-06-11
verify success 2 2026-06-10

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.

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).