It Is What You Have, Not What You Lose: Effects of Perceived Gains and Losses on Goal Orientation Across Adulthood

Cognitive Effort-Based Decision-Making Across Experimental and Daily Life Indices in Younger and Older Adults

OBJECTIVES

The study investigated whether cognitive effort decision-making measured via a neuroeconomic paradigm that manipulated framing (gain vs. loss outcomes), could predict daily life engagement in mentally demanding activities in both younger and older adults.

METHOD

Younger and older adult participants (N = 310) completed the Cognitive Effort Discounting paradigm (Cog-ED), under both gain and loss conditions, to provide an experimental index of cognitive effort costs for each participant in each framing condition. A subset of participants (N = 230) also completed a 7-day Ecological Momentary Assessment (EMA) protocol measuring engagement in mentally demanding daily life activities.

RESULTS

In a large, online sample, we replicated a robust increase in cognitive effort costs among older, relative to younger, adults. Additionally, costs were found to be reduced in the loss relative to gain frame, although these effects were only reliable at high levels of task difficulty and were not moderated by age. Critically, participants who had lower effort costs in the gain frame tended to report engaging in more mentally demanding daily life activities, but the opposite pattern was observed in the loss frame. Further analyses demonstrated the specificity of reward-related cognitive motivation in predicting daily life mentally demanding activities.

DISCUSSION

Together, these results suggest that cognitive effort costs, as measured through behavioral choice patterns in a neuroeconomic decision-making task, can be used to predict and explain engagement in mentally demanding activities during daily life among both older and younger adults.

Pay One or Pay All? The Role of Incentive Schemes in Decision Making Across Adulthood

OBJECTIVES

This research addresses how younger and older adults' decisions and evaluations of gains and losses are affected by the way in which monetary incentives are provided. We compared 2 common incentive schemes in decision making: pay one (only a single decision is incentivized) and pay all (incentives across all decisions are accumulated).

METHOD

Younger adults (18-36 years; n = 147) and older adults (60-89 years; n = 139) participated in either a pay-one or pay-all condition and made binary choices between two-outcome monetary lotteries in gain, loss, and mixed domains. We analyzed participants' decision quality, risk taking, and psychometric test scores. Computational modeling of cumulative prospect theory served to measure sensitivity to outcomes and probabilities, loss aversion, and choice sensitivity.

RESULTS

Decision quality and risk aversion were higher in the gain than mixed or loss domain, but unaffected by age. Loss aversion was higher, and choice sensitivity was lower in older than younger adults. In the pay-one condition, the value functions were more strongly curved, and choice sensitivity was higher than in the pay-all condition.

DISCUSSION

An opportunity of accumulating incentives has similar portfolio effects on younger and older adults' decisions. In general, people appear to decide less cautiously in pay-all than pay-one scenarios. The impact of different incentive schemes should be carefully considered in aging and decision research.

Determinants of Social Cognitive Aging: Predicting Resilience and Risk

This review focuses on conceptual and empirical research on determinants of social cognitive aging. We present an integrated model [the social cognitive resource (SCoRe) framework] to organize the literature and describe how social cognitive resilience is determined jointly by capacity and motivational resources. We discuss how neurobiological aging, driven by genetic and environmental influences, is associated with broader sensory, neural, and physiological changes that are direct determinants of capacity as well as indirect determinants of motivation via their influence on expectation of loss versus reward and cognitive effort valuation. Research is reviewed that shows how contextual factors, such as relationship status, familiarity, and practice, are fundamental to understanding the availability of both types of resource. We conclude with a discussion of the implications of social cognitive change in late adulthood for everyday social functioning and with recommendations for future research.

Shift Happens

Abstract. Taking a dynamic perspective on goals and their representation over the course of goal pursuit, we explore shifts in goal orientation, particularly when encountering setbacks during goal pursuit. In general, goals can be oriented toward achieving gains, maintaining a current state, and avoiding a loss (i.e., goal orientation; Freund & Ebner, 2005 ). Existing research on goal orientation has focused on age-related differences in goal orientation but assumed that goal orientation is stable over the course of goal pursuit. Taking a short-term, dynamic approach focusing on changes in goal orientation during the pursuit of a given goal, we propose that goal orientation can shift depending on goal progress and the perceived likelihood to achieve the desired outcome. In particular, we suggest that goal orientation remains stable during goal pursuit when progress occurs at the expected rate. However, when goal progress is hampered by setbacks or failures, we propose that people are more likely to shift their orientation toward the avoidance of failure or loss, particularly when they pursue their goal with a backup plan in mind ( Napolitano & Freund, 2016 ). Similarly, when progressing unexpectedly fast in counteracting a loss, we posit that people likely shift from a loss to a gain orientation. After proposing foundational processes for motivational shifts during goal pursuit, we discuss how a “motivational shift” perspective can impact future work on self-regulation and goal striving.

The phenomenology of maintenance goals: lower threat and greater satisfaction with the current state

This research tested the mental experience of maintenance goals as distinct from goals to approach better outcomes (approach goals) and goals to avoid worse outcomes (avoidance goals). In Studies 1 and 2, participants reported personal goals and categorized them as one of the three goal types. We theorized that maintenance centers on existing positive outcomes, while avoidance centers on future (expected) negative outcomes. We therefore predicted a lesser experience of threat and a greater experience of satisfaction in maintenance compared to avoidance. Additionally, we predicted greater satisfaction in maintenance compared to approach goals, wherein motivation comes from the value of future (desired) positive outcomes rather than current ones. Confirming our predictions, participants rated personal maintenance goals as lower on threat (Study 1) and higher on satisfaction (Studies 1 and 2) compared to avoidance goals. Additionally, revealing the centrality of maintenance, maintenance goals played a major role in reported central life goals (Study 1) and the largest role in goals pursued in the previous week (Study 2). Finally, in Study 3, participants judged another person engaged in maintenance as more satisfied and less threatened than a person engaged in avoidance or approach. Taken together, this work informs about the phenomenological nature of maintenance and advances a theory-driven ternary taxonomy of basic goal types.

Age and information preference: Neutral information sources in decision contexts

Do adults of different ages differ in their focus on positive, negative, or neutral information when making decisions? Some research suggests an increasing preference for attending to and remembering positive over negative information with advancing age (i.e., an age-related positivity effect). However, these prior studies have largely neglected the potential role of neutral information. The current set of three studies used a multimethod approach, including self-reports (Study 1), eye tracking and choice among faces reflecting negative, neutral, or positive health-related (Study 2) and leisure-related information (Study 3). Gaze results from Studies 2 and 3 as well as self-reports from Study 1 showed a stronger preference for sources of neutral than for positive or negative information regardless of age. Findings also suggest a general preference for decision-relevant information from neutral compared to positive or negative sources. Focusing exclusively on the difference between positive (happy) and negative (angry) faces, results are in line with the age-related positivity effect (i.e., the difference in gaze duration between happy and angry faces was significantly larger for older than for younger adults). These findings underscore the importance of neutral information across age groups. Thus, most research on the positivity effect may be biased in that it does not consider the strong preference for neutral over positive information.

How Cues of Being Watched Promote Risk Seeking in Fund Investment in Older Adults

Social cues, such as being watched, can subtly alter fund investment choices. This study aimed to investigate how cues of being watched influence decision-making, attention allocation, and risk tendencies. Using decision scenarios adopted from the “Asian Disease Problem,” we examined participants’ risk tendency in a financial scenario when they were watched. A total of 63 older and 66 younger adults participated. Eye tracking was used to reveal the decision-maker’s attention allocation (fixations and dwell time per word). The results found that both younger and older adults tend to seek risk in the loss frame than in the gain frame (i.e., framing effect). Watching eyes tended to escalate reckless gambling behaviors among older adults, which led them to maintain their share in the depressed fund market, regardless of whether the options were gain or loss framed. The eye-tracking results revealed that older adults gave less attention to the sure option in the eye condition (i.e., fewer fixations and shorter dwell time). However, their attention was maintained on the gamble options. In comparison, images of “watching eyes” did not influence the risk seeking of younger adults but decreased their framing effect. Being watched can affect financial risk preference in decision-making. The exploration of the contextual sensitivity of being watched provides us with insight into developing decision aids to promote rational financial decision-making, such as human-robot interactions. Future research on age differences still requires further replication.

Does Goal Orientation Modulate Satisfaction with Cognitive Performance in Different Age Groups?

OBJECTIVES

The current experiment tested the causal effect of goal orientation on subjective satisfaction with performance on a cognitive task.

METHODS

A sample of N = 231 young, middle-aged, and older adults (21 - 79 years) completed a dot-memory task in one of three goal-orientation conditions aiming for improvement, maintenance, or avoidance of decline in performance.

RESULTS

Bayesian analyses showed that in all age groups goal orientation influenced actual performance, but did not affect perceived performance or performance satisfaction. Performance satisfaction was positively correlated with perceived performance, but not with actual performance.

DISCUSSION

The findings suggest that whether goal orientation benefits older adults' subjective well-being might depend on (a) the goal content (previous research targeted personal goals) or (b) whether it enhances their perception of the status quo (and thus reduces the discrepancy between actual and desired states). This study contributes to a better understanding of the role of goal orientation in subjective well-being across adulthood.

Adult age differences in remembering gain- and loss-related intentions

Motivational and emotional changes across adulthood have a profound impact on cognition. In this registered report, we conducted an experimental investigation of motivational influence on remembering intentions after a delay (prospective memory; PM) in younger, middle-aged, and older adults, using gain- and loss-framing manipulations. The present study examined for the first time whether motivational framing in a PM task has different effects on younger and older adults' PM performance (N = 180; age range: 18-85 years) in a controlled laboratory setting. Based on lifespan theories of motivation, we assumed that the prevention of losses becomes more relevant with increasing age: We expected that older adults show relatively higher PM performance in a task with loss-related consequences following PM failure than in a task in which successful PM leads to gains. The opposite pattern of performance was expected for younger adults. The findings suggest that the relevance of reward and positive gain-related consequences for successful remembering appears to decrease with age. As hypothesised, a motivational framing × age interaction indicated that age differences in memory performance were smaller with loss-related than gain-related consequences, supporting a loss-prevention view on motivated cognition.

Goal Changes and Healthy Aging

This article discusses ways in which aging individuals respond to physical, social, and environmental changes and constraints by modifying their goals. We review aging-related trends, which we derive from several theoretical approaches, including goal systems theory, the motivational theory of life-span development and its action-phase model, and the Selection, Optimization, and Compensation model. These theories explain how biological and social role changes in later adulthood prompt individuals to make changes to the content, orientation, and composition of their goals, including disengaging from and adjusting previously central goals. They also help identify individual differences in the capacity to do so effectively. We review several motivation-related interventions that address the challenges in goal adjustment and call for more research on identifying processes of goal changes conducive to healthy aging, more interventions, and modifications of societal and institutional (e.g., workplace, nursing home) operations that support adaptive goal change in older adults.

Effort Mobilization and Healthy Aging

Healthy aging is in part dependent upon people's willingness and ability to mobilize the effort necessary to support behaviors that promote health and well-being. People may have the best information relating to health along with the best intentions to stay healthy (e.g., health-related goals), but positive outcomes will ultimately be dependent upon them actually investing the necessary effort toward using this information to achieve their goals. In addition, the influences on effort mobilization may vary as a function of physical, psychological, and social changes experienced by the individual across the life span. Building on the overall theme of this special issue, we explore the relationships between motivation, effort mobilization, and healthy aging. We begin by characterizing the relationship between motivation and effort, and identify the factors that influence effort mobilization. We then consider the factors associated specifically with aging that may influence effort mobilization (e.g., changes in cardiovascular and neural mechanisms) and, ultimately, the health and well-being of older adults. Finally, distinguishing between those influential factors that are modifiable versus intractable, we identify ways to structure situations and beliefs to optimize mobilization in support of healthy aging.

From gains to losses: Age-related differences in decisions under risk in a non-monetary gambling task

Lifespan theory suggests a shift from a primary orientation towards attaining gains in young adulthood to preventing losses in older adulthood. The current research tested if this motivational shift is reflected in behavioural and emotional responses to risks in non-monetary gains and losses. Study 1 established in a sample of N = 168 younger (18-30 years) and older adults (65-79 years) that a non-monetary gambling task was experienced similarly by the age groups with respect to arousal and valence of the task, and the willingness to continue playing. In Study 2 (N = 83), differences between young (18-30 years) and older (64-85 years) adults' risk-taking in this non-monetary gambling task with mixed gambles were tested while assessing physiological responses (event-related heart rate change) to gain and loss feedback. Behavioural - but not physiological - results confirm hypotheses derived from a lifespan motivational framework regarding age-differential effects of gains and losses.