Memory avoidance by older adults: When `old dogs' won't perform their `new tricks'

Teaching older adults to use retrieval practice improves their self-regulated learning

Retrieval practice can reduce associative memory deficits for older adults but they underutilize this potent learning tool during self-regulated learning. The current experiment investigated whether teaching older adults to use retrieval practice more can improve their self-regulated learning. Younger and older adults made decisions about when to study, how often to engage in retrieval practice, and when to stop learning a list of medication-side effect pairs. Some younger and older adults received instructions before learning that emphasized the mnemonic benefits of retrieval practice over restudying material and described how to schedule retrieval practice to learn to a goal criterion level. This minimal intervention was effective for improving both younger and older adults' associative memory. These data indicate that a simple strategy for improving older adults self-regulated learning is to provide them with instructions that teach them how to use criterion learning to schedule their retrieval practice for to-be learned material.

Primacy Effects in Extended Cognitive Strategy Choice: Initial Speed Benefits Outweigh Later Speed Benefits

BACKGROUND

Human performers often recruit environment-based assistance to acquire or process information, such as relying on a smartphone app, a search engine, or a conversational agent. To make informed choices between several of such extended cognitive strategies, performers need to monitor the performance of these options.

OBJECTIVE

In the present study, we investigated whether participants monitor an extended cognitive strategy's performance-here, speed-more closely during initial as compared to later encounters.

METHODS

In three experiments, 737 participants were asked to first observe speed differences between two competing cognitive strategies-here, two competing algorithms that can obtain answers to trivia questions-and eventually choose between both strategies based on the observations.

RESULTS

Participants were sensitive to subtle speed differences and selected strategies accordingly. Most remarkably, even when participants performed identically with both strategies across all encounters, the strategy with superior speed in the initial encounters was preferred. Worded differently, participants exhibited a technology-use primacy effect. Contrarily, evidence for a recency effect was weak at best.

CONCLUSION

These results suggest that great care is required when performers are first acquainted with novel ways to acquire or process information. Superior initial performance has the potential to desensitize the performer for inferior later performance and thus prohibit optimal choice.

APPLICATION

Awareness of primacy enables users and designers of extended cognitive strategies to actively remediate suboptimal behavior originating in early monitoring episodes.

Overcoming age differences in memory retrieval by reducing stereotype threat

Very little is known about whether and how socioemotional factors influence age differences in associative memory. Here, we tested the hypothesis that reducing the threat induced by age-based stereotypes can reduce age differences in learning performance and strategy. Using an associative learning task, we replicated the classic finding of age differences under a high-threat condition: older adults had longer reaction times than younger adults and were much more reluctant to use memory retrieval. However, age differences were greatly diminished under a low-threat condition. These findings demonstrate that memory retrieval is an ability not entirely lost as individuals age because merely reducing stereotype threat helped restoring it. We conclude that socioemotional factors, such as stereotype threat, should be considered when evaluating younger and older adults' memory performance.

Perseveration on cognitive strategies

To acquire and process information, performers can frequently rely on both internal and extended cognitive strategies. However, after becoming acquainted with two strategies, performers in previous studies exhibited a pronounced behavioral preference for just one strategy, which we refer to as perseveration. What is the origin of such perseveration? Previous research suggests that a prime reason for cognitive strategy choice is performance: Perseveration could reflect the preference for a superior strategy as determined by accurately monitoring each strategy's performance. However, following our preregistered hypotheses, we conjectured that perseveration persisted even if the available strategies featured similar performances. Such persisting perseveration could be reasonable if costs related to decision making, performance monitoring, and strategy switching would be additionally taken into account on top of isolated strategy performances. Here, we used a calibration procedure to equalize performances of strategies as far as possible and tested whether perseveration persisted. In Experiment 1, performance adjustment of strategies succeeded in equating accuracy but not speed. Many participants perseverated on the faster strategy. In Experiment 2, calibration succeeded regarding both accuracy and speed. No substantial perseveration was detected, and residual perseveration was conceivably related to metacognitive performance evaluations. We conclude that perseveration on cognitive strategies is frequently rooted in performance: Performers willingly use multiple strategies for the same task if performance differences appear sufficiently small. Surprisingly, other possible reasons for perseveration like effort or switch cost avoidance, mental challenge seeking, satisficing, or episodic retrieval of previous stimulus-strategy-bindings, were less relevant in the present study.

Switching between different cognitive strategies induces switch costs as evidenced by switches between manual and mental object rotation

Switching between tasks entails costs when compared to repeating the same task. It is unclear whether switch costs also occur when repeating the same task but switching the underlying cognitive strategy (CS). Here, we investigated whether CS switch costs exist despite overlap in mental processing between CSs and a lack of abstract goal (always "solve task X") or answer key binding switches. Specifically, we asked participants to judge the identity of two misaligned objects by either mental or manual computer-mediated object rotation. In each trial of Block 1, to measure switch costs without choice-related cognitive processes, a cue indicated which CS (mental/manual) to use. In Block 2, the CS was freely chosen. Participants exhibited considerable CS switch costs for both cued and freely chosen switches. Moreover, Block 1 switch costs moderately predicted Block 2 switch frequency, while an overall tendency for CS repetition was observed. In sum, we found that switch costs are not confined to situations in which tasks are switched but generalize to situations in which the task stays identical and the CS is switched instead. The results have implications for modern computerized cognitive environments in which a multitude of cognitive strategies is available for the same task.

The role of metacognitive uncertainty in the delayed retrieval shift of older adults

Strategic choice behavior of older adults in many skill acquisition tasks can be characterized as a delayed and/or incomplete shift to a more efficient retrieval-based strategy, even when older adults possess the requisite knowledge to use it successfully. The noun-pair lookup task (NPLT) requires verification of whether a centrally presented word pair matches one of a set of pairs displayed at the top of the screen. Because the pairings do not change, verification can be made from memory as the associations are learned. This study examines the role of metacognitive uncertainty in explaining older adults' delayed retrieval shift in the NPLT. Older and younger adults participated in a NPLT with previously learned items and new items. For each trial, the look-up table was shown only if the scanning strategy was selected. Some participants were given a precue informing whether the item had been previously learned. Retrieval strategy choice was low for older adults but precueing increased its frequency. Older adults' retrieval choices had minimal costs on NPLT accuracy, suggesting that the delayed retrieval shift can be exacerbated by metacognitive uncertainty that was reduced by precueing. The role of metacognitive uncertainty in older adults' retrieval avoidance was supported by a robust item-level regression effect of retrospective confidence judgments during prelearning tests and later NPLT retrieval strategy choices for older adults.

Overreliance on inefficient computer-mediated information retrieval is countermanded by strategy advice that promotes memory-mediated retrieval

With ubiquitous computing, problems can be solved using more strategies than ever, though many strategies feature subpar performance. Here, we explored whether and how simple advice regarding when to use which strategy can improve performance. Specifically, we presented unfamiliar alphanumeric equations (e.g., A + 5 = F) and asked whether counting up the alphabet from the left letter by the indicated number resulted in the right letter. In an initial choice block, participants could engage in one of three cognitive strategies: (a) internal counting, (b) internal retrieval of previously generated solutions, or (c) computer-mediated external retrieval of solutions. Participants belonged to one of two groups: they were either instructed to first try internal retrieval before using external retrieval, or received no specific use instructions. In a subsequent internal block with identical instructions for both groups, external retrieval was made unavailable. The 'try internal retrieval first' instruction in the choice block led to pronounced benefits (d = .76) in the internal block. Benefits were due to facilitated creation and retrieval of internal memory traces and possibly also due to improved strategy choice. These results showcase how simple strategy advice can greatly help users navigate cognitive environments. More generally, our results also imply that uninformed use of external tools (i.e., technology) can bear the risk of not developing and using even more superior internal processing strategies.

Outsourcing Memory to External Tools: A Review of 'Intention Offloading'

How do we remember delayed intentions? Three decades of research into prospective memory have provided insight into the cognitive and neural mechanisms involved in this form of memory. However, we depend on more than just our brains to remember intentions. We also use external props and tools such as calendars and diaries, strategically placed objects, and technologies such as smartphone alerts. This is known as 'intention offloading'. Despite the progress in our understanding of brain-based prospective memory, we know much less about the role of intention offloading in individuals' ability to fulfil delayed intentions. Here, we review recent research into intention offloading, with a particular focus on how individuals decide between storing intentions in internal memory versus external reminders. We also review studies investigating how intention offloading changes across the lifespan and how it relates to underlying brain mechanisms. We conclude that intention offloading is highly effective, experimentally tractable, and guided by metacognitive processes. Individuals have systematic biases in their offloading strategies that are stable over time. Evidence also suggests that individual differences and developmental changes in offloading strategies are driven at least in part by metacognitive processes. Therefore, metacognitive interventions could play an important role in promoting individuals' adaptive use of cognitive tools.

Strategic use of internal and external memory in everyday life: episodic, semantic, procedural, and prospective purposes

Humans have access to both internal memory (information stored in the brain) and external memory (information stored in the environment). To what extent do we use each in everyday life? In two experiments, participants rated both internal and external memory for frequency of use, dependability, ease of use (Experiment 1), and likelihood of use (Experiment 2) across four purposes: episodic, semantic, procedural, and prospective. Experiment 1 showed that internal memory was favoured for episodic and procedural purposes, while external memory was favoured for semantic purposes. Experiment 2 further clarified that internal memory was favoured for episodic and common procedural purposes, while external memory was favoured for uncommon semantic, uncommon procedural, and far-term prospective purposes. This strategic division of labour plays to the strengths of both forms of memory. Participants also generally rated external memory as more dependable and easier to use. Results support the memory symbiosis framework.

Know Your Cognitive Environment! Mental Models as Crucial Determinant of Offloading Preferences

OBJECTIVE

Human problem solvers possess the ability to outsource parts of their mental processing onto cognitive "helpers" (cognitive offloading). However, suboptimal decisions regarding which helper to recruit for which task occur frequently. Here, we investigate if understanding and adjusting a specific subcomponent of mental models-beliefs about task-specific expertise-regarding these helpers could provide a comparatively easy way to improve offloading decisions.

BACKGROUND

Mental models afford the storage of beliefs about a helper that can be retrieved when needed.

METHODS

Arithmetic and social problems were solved by 192 participants. Participants could, in addition to solving a task on their own, offload cognitive processing onto a human, a robot, or one of two smartphone apps. These helpers were introduced with either task-specific (e.g., stating that an app would use machine learning to "recognize faces" and "read emotions") or task-unspecific (e.g., stating that an app was built for solving "complex cognitive tasks") descriptions of their expertise.

RESULTS

Providing task-specific expertise information heavily altered offloading behavior for apps but much less so for humans or robots. This suggests (1) strong preexisting mental models of human and robot helpers and (2) a strong impact of mental model adjustment for novel helpers like unfamiliar smartphone apps.

CONCLUSION

Creating and refining mental models is an easy approach to adjust offloading preferences and thus improve interactions with cognitive environments.

APPLICATION

To efficiently work in environments in which problem-solving includes consulting other people or cognitive tools ("helpers"), accurate mental models-especially regarding task-relevant expertise-are a crucial prerequisite.

Individual differences in working memory capacity predict benefits to memory from intention offloading

Research suggests that individuals with lower working memory have difficulty remembering to fulfil delayed intentions. The current study examined whether the ability to offload intentions onto the environment mitigated these deficits. Participants (N = 268) completed three versions of a delayed intention task with and without the use of reminders, along with three measures of working memory capacity. Results showed that individuals with higher working memory fulfilled more intentions when having to rely on their own memory, but this difference was eliminated when offloading was permitted. Individuals with lower working memory chose to offload more often, suggesting that they were less willing to engage in effortful maintenance of internal representations when given the option. Working memory was not associated with metacognitive confidence or optimal offloading choices based on point value. These findings suggest offloading may help circumvent capacity limitations associated with maintaining and remembering delayed intentions.

Age Effects in Sequence-Construction for a Continuous Cognitive Task: Similar Sequence-Trends but Fewer Switch-Points

OBJECTIVES

Many real-life settings require decision makers to sort a predetermined set of outcomes or activities into a preferred sequence and people vary in whether they prefer to tackle the most challenging aspects first, leave them for the last, or intersperse them with less challenging outcomes. Prior research on age differences in sequence-preferences has focused on discrete and hypothetical events. The present study expands this work by examining sequence-preferences for a realistic, continuous, sustained, and cognitively challenging task.

METHODS

Participants (N = 121, aged 21-86) were asked to complete 10 min of a difficult cognitive task (2-back), 10 min of an easy cognitive task (1-back), and 10 min of rest over the course of a 30-min interval. They could complete the tasks in any order and switch tasks as often as they wished and they were rewarded for correct performance. Additional measures included affective and physiological responses, task accuracy, time-perspective, and demographics.

RESULTS

The majority of participants constructed sequences with decreasing task difficulty. Preferences for the general trend of the sequence were not significantly related to age, but the number of switches among the tasks decreased with age, and task-switching tended to incur greater accuracy decrements among older as compared to younger adults.

DISCUSSION

We address potential methodological concerns, discuss theoretical implications, and consider potential real-life applications.

Problem Solvers Adjust Cognitive Offloading Based on Performance Goals

When incorporating the environment into mental processing (cf., cognitive offloading), one creates novel cognitive strategies that have the potential to improve task performance. Improved performance can, for example, mean faster problem solving, more accurate solutions, or even higher grades at university.¹ Although cognitive offloading has frequently been associated with improved performance, it is yet unclear how flexible problem solvers are at matching their offloading habits with their current performance goals (can people improve goal-related instead of generic performance, e.g., when being in a hurry and aiming for a "quick and dirty" solution?). Here, we asked participants to solve a cognitive task, provided them with different goals-maximizing speed (SPD) or accuracy (ACC), respectively-and measured how frequently (Experiment 1) and how proficiently (Experiment 2) they made use of a novel external resource to support their cognitive processing. Experiment 1 showed that offloading behavior varied with goals: Participants offloaded less in the SPD than in the ACC condition. Experiment 2 showed that this differential offloading behavior was associated with high goal-related performance: fast answers in the SPD, accurate answers in the ACC condition. Simultaneously, goal-unrelated performance was sacrificed: inaccurate answers in the SPD, slow answers in the ACC condition. The findings support the notion of humans as canny offloaders who are able to successfully incorporate their environment in pursuit of their current cognitive goals. Future efforts should be focused on the finding's generalizability, for example, to settings without feedback or with high mental workload.

Memory training for adults with probable mild cognitive impairment: a pilot study

Background & Objectives: This pilot study aimed to evaluate the efficacy of memory training and health training intervention over a 24-month period in people with probable mild cognitive impairment (MCI). Research Design & Methods: Based on the accepted criteria, and the neuropsychiatric measures used in the trial, MCI was defined as a subjective change in cognition, impairment in episodic memory, preservation of independence of functional abilities, and no dementia. Without a neurological assessment, laboratory tests, and psychometric evaluation combined, some of our participants may have had dementia that we were unable to detect through neuropsychological testing. Of the 263 total participants, 39 met criteria for a diagnosis of MCI. There were 19 adults in the memory and 20 in health training conditions. Both groups received twenty hours of classroom content that included eight hours of booster sessions at three months post intervention. Hierarchical linear models (HLM) and standardized regression-based (SBR) analyses were used to test the efficacy of the intervention on immediate recall, delayed recall, subjective memory complaints, and memory self-efficacy. Age, education, depression, racial group, ethnic group, MMSE score, and baseline performance were included as covariates. Results: Over 24 months, the MCI group in the memory training condition showed better objective and subjective memory outcomes compared with the MCI group in the health training condition. Conclusions: Senior WISE Memory training delivered to individuals with MCI was able to forestall the participants' declining cognitive ability and sustain the benefit over two years in both subjective and objective memory function.

Topical Issue on Strategy Contributions to Cognitive Aging

Although some cognitive decline with healthy aging appears inevitable, previous research on strategy instruction and training has repeatedly demonstrated that older adults can substantially improve their cognitive performance through effective strategies. At the same time, age-related changes in strategy repertoire, distribution, execution, and selection have also been documented and, in part, been shown to contribute to the observed age-related deficits in cognitive performance. Authored by researchers from France, Germany, Italy, and the U.S., the nine articles of this Topical Issue on Strategy Contributions to Cognitive Aging provide novel insights on age-related differences (and similarities) in strategies across a variety of cognitive domains (episodic [item, source, event] memory, metamemory, decision making, and numeracy), ranging from new insights on traditional memory-encoding strategies such as self-generation to the discovery of novel strategies involved in event memory, metamemory, and numerosity comparison. Further, a review of event segmentation training and two novel training studies demonstrate much potential for the improvement of older adults’ cognitive performance, transferring beyond the trained task—but also identify for whom cognitive strategy training may be less beneficial, necessitating a more intensive or different training approach. All in all, this Topical Issue provides a comprehensive picture of age-related changes in cognitive strategies and means to improve older adults’ strategic approach to cognitive tasks.

Arithmetic learning in advanced age

Acquisition of numerical knowledge and understanding of numerical information are crucial for coping with the changing demands of our digital society. In this study, we assessed arithmetic learning in older and younger individuals in a training experiment including brain imaging. In particular, we assessed age-related effects of training intensity, prior arithmetic competence, and neuropsychological variables on the acquisition of new arithmetic knowledge and on the transfer to new, unknown problems. Effects were assessed immediately after training and after 3 months. Behavioural results showed higher training effects for younger individuals than for older individuals and significantly better performance after 90 problem repetitions than after 30 repetitions in both age groups. A correlation analysis indicated that older adults with lower memory and executive functions at baseline could profit more from intensive training. Similarly, training effects in the younger group were higher for those individuals who had lower arithmetic competence and executive functions prior to intervention. In younger adults, successful transfer was associated with higher executive functions. Memory and set-shifting emerged as significant predictors of training effects in the older group. For the younger group, prior arithmetic competence was a significant predictor of training effects, while cognitive flexibility was a predictor of transfer effects. After training, a subgroup of participants underwent an MRI assessment. A voxel-based morphometry analysis showed a significant interaction between training effects and grey matter volume of the right middle temporal gyrus extending to the angular gyrus for the younger group relative to the older group. The reverse contrast (older group vs. younger group) did not yield any significant results. These results suggest that improvements in arithmetic competence are supported by temporo-parietal areas in the right hemisphere in younger participants, while learning in older people might be more widespread. Overall, our study indicates that arithmetic learning depends on the training intensity as well as on person-related factors including individual age, arithmetic competence before training, memory, and executive functions. In conclusion, we suggest that major progress can be also achieved by older participants, but that interventions have to take into account individual variables in order to provide maximal benefit.

Successful aging: The role of cognitive gerontology

This commentary explores the relationships between the construct of successful aging and the experimental psychology of human aging-cognitive gerontology. What can or should cognitive gerontology contribute to understanding, defining, and assessing successful aging? Standards for successful aging reflect value judgments that are culturally and historically situated. Fundamentally, they address social policy; they are prescriptive. If individuals or groups are deemed to be aging successfully, then their characteristics or situations can be emulated. If an individual or a group is deemed to be aging unsuccessfully, then intervention should be considered. Although science is never culture-free or ahistorical, cognitive gerontology is primarily descriptive of age-related change. It is not prescriptive. It is argue that cognitive gerontology has little to contribute to setting standards for successful aging. If, however, better cognitive function is taken as a marker of more successful aging-something not universally accepted-then cognitive gerontology can play an important assessment role. It has a great deal to contribute in determining whether an individual or a group evidences better cognitive function than another. More importantly, cognitive gerontology can provide tools to evaluate the effects of interventions. It can provide targeted measures of perception, attention, memory, executive function, and other facets of cognition that are more sensitive to change than most clinical measures. From a deep understanding of factors affecting cognitive function, cognitive gerontology can also suggest possible interventions. A brief narrative review of interventions that have and have not led to improved cognitive function in older adults. Finally, the enormous range is addressed in the estimates of the proportion of the population that meets a standard for aging successfully, from less than 10% to more than 90%. For research purposes, it would be better to replace absolute cutoffs with correlational approaches (e.g., Freund & Baltes, 1998, Psychology and Aging, 13, 531-543). For policy purposes, cutoffs are necessary, but we propose that assessments of successful aging be based not on absolute cutoffs but on population proportions. An example of one possible standard is this: Those more than 1 standard deviation above the mean are aging successfully; those more than 1 standard deviation below the mean are aging unsuccessfully; those in between are aging usually. Adoption of such a standard may reduce the wide discrepancies in the incidence of successful aging reported in the literature.

Competing cues: Older adults rely on knowledge in the face of fluency

Consumers regularly encounter repeated false claims in political and marketing campaigns, but very little empirical work addresses their impact among older adults. Repeated statements feel easier to process, and thus more truthful, than new ones (i.e., illusory truth). When judging truth, older adults' accumulated general knowledge may offset this perception of fluency. In two experiments, participants read statements that contradicted information stored in memory; a post-experimental knowledge check confirmed what individual participants knew. Unlike young adults, older adults exhibited illusory truth only when they lacked knowledge about claims. This interaction between knowledge and fluency extends dual-process theories of aging. (PsycINFO Database Record

Category learning strategies in younger and older adults: Rule abstraction and memorization

Despite the fundamental role of category learning in cognition, few studies have examined how this ability differs between younger and older adults. The present experiment examined possible age differences in category learning strategies and their effects on learning. Participants were trained on a category determined by a disjunctive rule applied to relational features. The utilization of rule- and exemplar-based strategies was indexed by self-reports and transfer performance. Based on self-reported strategies, the frequencies of rule- and exemplar-based learners were not significantly different between age groups, but there was a significantly higher frequency of intermediate learners (i.e., learners not identifying with a reliance on either rule- or exemplar-based strategies) in the older than younger adult group. Training performance was higher for younger than older adults regardless of the strategy utilized, showing that older adults were impaired in their ability to learn the correct rule or to remember exemplar-label associations. Transfer performance converged with strategy reports in showing higher fidelity category representations for younger adults. Younger adults with high working memory capacity were more likely to use an exemplar-based strategy, and older adults with high working memory capacity showed better training performance. Age groups did not differ in their self-reported memory beliefs, and these beliefs did not predict training strategies or performance. Overall, the present results contradict earlier findings that older adults prefer rule- to exemplar-based learning strategies, presumably to compensate for memory deficits. (PsycINFO Database Record

Aging effects in sequential modulations of poorer-strategy effects during execution of memory strategies

In this study, we asked young adults and older adults to encode pairs of words. For each item, they were told which strategy to use, interactive imagery or rote repetition. Data revealed poorer-strategy effects in both young adults and older adults: Participants obtained better performance when executing better strategies (i.e., interactive-imagery strategy to encode pairs of concrete words; rote-repetition strategy on pairs of abstract words) than with poorer strategies (i.e., interactive-imagery strategy on pairs of abstract words; rote-repetition strategy on pairs of concrete words). Crucially, we showed that sequential modulations of poorer-strategy effects (i.e., poorer-strategy effects being larger when previous items were encoded with better relative to poorer strategies), previously demonstrated in arithmetic, generalise to memory strategies. We also found reduced sequential modulations of poorer-strategy effects in older adults relative to young adults. Finally, sequential modulations of poorer-strategy effects correlated with measures of cognitive control processes, suggesting that these processes underlie efficient trial-to-trial modulations during strategy execution. Differences in correlations with cognitive control processes were also found between older adults and young adults. These findings have important implications regarding mechanisms underlying memory strategy execution and age differences in memory performance.