Development of cognitive offloading and the role of metacognitive control

Background

Cognitive offloading refers to the process of reducing internal cognitive demands by using external aids, such as writing notes or setting reminders. It is closely linked to metacognition, which involves monitoring one’s own cognitive processes and regulating behaviour accordingly. Effective cognitive offloading requires insight into task demands and one’s own cognitive limitations. This study forms part of a broader developmental project investigating how cognitive offloading develops from childhood into early adulthood. While adults typically use offloading adaptively by choosing to engage in external strategies more when task demands increase, less is known about how and when these strategic abilities develop across childhood. The present report focuses on findings from the young adult sample only. These findings establish a performance baseline that will later be compared with children’s data to examine developmental differences.

Research Questions / Hypotheses

This report addresses the following research questions for the young adult sample: 1. Do participants predict offloading will improve their task accuracy? 2. Does cognitive offloading improve task accuracy? 3. Do participants use cognitive offloading strategically under increasing task demands? 4. Does performance on the task and offloading behaviour associate with an independent measure of prospective memory? Note: Equivalent analyses will later be conducted with the child data for developmental comparison.

Participants

A total of 21 young adult participants were recruited. One participant was excluded for not meeting the age criterion (>25 years). The final sample included 20 participants aged 18–25 years who attended primary school in Australia and reported no history of neurological or developmental disorders. An additional 9 participants were recruited through word of mouth and included in the analyses described below. Data from child participants (aged 7–13 years) were also collected as part of the broader developmental study and will be analysed separately.

Methods

Participants completed a computerised intention-offloading task adapted from previous research (Gilbert, 2015; Redshaw et al., 2018). The task required participants to move ten numbered circles in order while remembering one, two, or three special target circles that needed to be moved to a different location. In half of the trials, participants could use an offloading strategy by dragging target circles to the edge of the box before starting, creating a visible reminder cue. In addition to this main task, participants were also asked to remember to remind the experimenter to give them a stress ball at the end of the session, to provide an independent measure of prospective memory. They also completed visuospatial and verbal working memory measures, a metacognition questionnaire, and an executive function and sociodemographic questionnaire. These data have not been analysed yet. All participants were debriefed after completing the study.

Results

Repeated-measures ANOVAs examined predicted and actual accuracy across offloading conditions (no-offloading vs. offloading-possible) and task difficulty (1-, 2-, and 3-target trials). Participants predicted lower accuracy as the number of targets increased and higher accuracy when offloading was available. Actual accuracy decreased as task demands increased but did not improve when offloading was possible, possibly because accuracy was very high, and higher than what participants had initially predicted. A repeated measure with task difficulty as the only within-subject factor indicated that participants showed evidence of strategic offloading, choosing to offload more frequently in 3-target compared to 1-target and 2-target trials. Finally, mixed repeated measures ANOVA included as a between subject factor whether participants remembered to ask for the brain squeeze ball or not at the end of the testing session. Predicted accuracy and actual accuracy did not differ between these groups, but participants who forgot the brain squeeze ball tended to offload more across 1-, 2- and 3-target trials, but made more errors when they offloaded (e.g. offloading the wrong circle or in the wrong location). Planned analyses will further examine whether working memory capacity contributes to individual differences in offloading behaviour. These adult results will form a baseline for developmental comparisons with the child sample.

Implications

The young adult findings replicate previous research showing that people predict that cognitive offloading will be helpful, particularly when more information needs to be remembered, and that cognitive offloading is used strategically when task difficulty increases. However, in this sample, cognitive offloading was not found to enhance performance, possibly because this task variant adapted to developmental populations was too easy for adults. Surprisingly however, the participants showed high rates of offloading, despite their high accuracy without offloading, suggesting they were trying to minimise mental effort. These findings provide a benchmark for understanding how metacognitive strategy use develops across age. Comparing these patterns with children’s performance will clarify whether strategic offloading emerges gradually or shows a developmental shift during late childhood. This has practical implications for education and learning, where effective metacognitive strategy use supports independent problem-solving and academic success. Results from this project will be communicated through a PhD thesis, paper publications and conference presentations. Preliminary results will first be presented at the Australasian Cognitve Neuroscience Society conference at the end of November in Melbourne. All findings will be reported in a de-identified format to protect participant confidentiality.