Working Memory
1-Back Task
Measure continuous working-memory maintenance with a low-load n-back task that fits remote participant workflows.
Useful for baseline working-memory studies, sustained monitoring, and lower-load memory batteries.
What this task measures
Measures working memory by requiring participants to indicate whether the current stimulus matches the one presented N items ago.
Core constructs
- Working memory maintenance
- Continuous performance monitoring
- Memory updating
- Sustained attention
Research fit
- Working memory baseline assessment
- Sustained attention monitoring
- Cognitive load sensitivity profiling
- Neurodevelopmental disorder screening
Why researchers use ConductCognition
- Hosted browser delivery with no local install burden for participants.
- Study setup, scoring, exports, and participant links in one workflow.
- Transparent pricing instead of opaque enterprise quoting for solo labs.
- Free entry tier plus Academic Pro when you need the full battery and raw exports.
Paradigm overview
The 1-Back task is a continuous working memory paradigm. Participants view a sequence of letters presented one at a time and must press the spacebar whenever the current letter matches the letter shown one position back. Non-matching letters require no response.
The task requires participants to continuously maintain the most recent stimulus in working memory, compare it with the incoming stimulus, make a match/non-match decision, and update their memory with the new stimulus. This maintenance-and-updating cycle engages the phonological loop component of Baddeley's working memory model.
Performance is analyzed using signal detection theory: d-prime separates the participant's ability to discriminate targets from non-targets, independent of their overall tendency to respond. The 1-Back provides a lower-demand baseline against which the 2-Back can be compared to isolate the cost of increased working memory load.
Key scoring outputs
Overall Accuracy
proportionProportion of all trials (targets + non-targets) correctly classified.
Higher is better
Hits
countNumber of targets correctly identified (pressed spacebar on match).
Higher is better
Misses
countNumber of targets missed (failed to press on match).
Lower is better
False Alarms
countResponses to non-target stimuli (pressed spacebar on non-match).
Lower is better
Correct Rejections
countNon-target stimuli correctly ignored.
Higher is better
d-Prime
d'Signal detection sensitivity: Z(hit rate) - Z(false alarm rate). Primary measure of working memory discriminability.
Higher is better
Hit RT
msAverage reaction time on correct target detections.
Lower is better
Normative and citation context
Bopp KL, Verhaeghen P (2020). Aging and n-back performance: A meta-analysis. Journals of Gerontology: Psychological Sciences, 75(2):229-240.
Meta-analytic aggregate. No single large-sample normative study exists for computerized n-back. Values are consensus estimates.
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