Imagination and the Prosocial Personality: Mapping the Effect of Episodic Simulation on Helping Across Prosocial Traits

Prior work suggests that imagining helping others increases prosocial intentions and behavior towards those individuals. But is this true for everyone, or only for those who tend towards – or away from – helping more generally? The current study (N=283) used an imagined helping paradigm and a battery of behavioral and self-report measures of trait prosociality to determine whether the prosocial benefits of imagination depend upon an individual’s general tendency to help others. Replicating prior work, we found links between imagination and prosociality and support for a three-factor model of prosociality comprising altruistically, norm-motivated, and self-reported prosocial behaviors. Centrally, the effects of imagination on prosociality were slightly larger for less altruistic individuals but independent of norm-motivated and self-reported prosociality. These results suggest leveraging people’s abilities for episodic simulation as a promising strategy for increasing prosociality in general, and perhaps particularly for those least likely to help otherwise.

Visualizing compassion: Episodic simulation as contemplative practice

Contemplative interventions designed to cultivate compassion are receiving increasing empirical attention. Accumulating evidence suggests that these interventions bolster prosocial motivation and warmth towards others. Less is known about how these practices impact compassion in everyday life. Here we consider one mechanistic pathway through which compassion practices may impact perception and action in the world: simulation. Evidence suggests that vividly imagining a situation simulates that experience in the brain as if it were, to a degree, actually happening. Thus, we hypothesize that simulation during imagery-based contemplative practices can construct sensorimotor patterns in the brain that prime an individual to act compassionately in the world. We first present evidence across multiple literatures in Psychology that motivates this hypothesis, including the neuroscience of mental imagery and the emerging literature on prosocial episodic simulation. Then, we examine the specific contemplative practices in compassion-based interventions that may construct such simulations. We conclude with future directions for investigating how compassion-based interventions may shape prosocial perception and action in everyday life.

Mnemicity vs. Temporality: Distinguishing between components of episodic representations

Human beings regularly 'mentally travel' to past and future times in memory and imagination. In theory, whether an event is remembered or imagined (its ‘mnemicity’) underspecifies whether it is oriented towards the past or the future (its ‘temporality’). However, it remains unclear to what extent the temporal orientation of such episodic simulations is cognitively represented separately from their status as memories or imagination. To address this question, we investigated whether episodic simulations are more easily distinguishable in memory by virtue of their temporal orientation or their mnemicity. In three experiments (N = 360), participants were asked to generate and later recall events differing along the lines of temporal orientation (past/future) and mnemicity (remembered/imagined). Across all of our experiments, we consistently found that participants were more likely to confuse in recall event simulations that shared the same temporal orientation rather than the same mnemicity. These results show that the temporal orientation of episodic representations can be cognitively represented separately from their mnemicity and have implications for debates about the role of temporality in episodic simulation.

Pairing facts with imagined consequences improves pandemic-related risk perception

The COVID-19 pandemic reached staggering new peaks during a global resurgence more than a year after the crisis began. Although public health guidelines initially helped to slow the spread of disease, widespread pandemic fatigue and prolonged harm to financial stability and mental well-being contributed to this resurgence. In the late stage of the pandemic, it became clear that new interventions were needed to support long-term behavior change. Here, we examined subjective perceived risk about COVID-19 and the relationship between perceived risk and engagement in risky behaviors. In study 1 (n = 303), we found that subjective perceived risk was likely inaccurate but predicted compliance with public health guidelines. In study 2 (n = 735), we developed a multifaceted intervention designed to realign perceived risk with actual risk. Participants completed an episodic simulation task; we expected that imagining a COVID-related scenario would increase the salience of risk information and enhance behavior change. Immediately following the episodic simulation, participants completed a risk estimation task with individualized feedback about local viral prevalence. We found that information prediction error, a measure of surprise, drove beneficial change in perceived risk and willingness to engage in risky activities. Imagining a COVID-related scenario beforehand enhanced the effect of prediction error on learning. Importantly, our intervention produced lasting effects that persisted after a 1- to 3-wk delay. Overall, we describe a fast and feasible online intervention that effectively changed beliefs and intentions about risky behaviors.

Post-retrieval Distortions of Self-Referential Negative Memory: Valence Consistency Enhances Gist-Directed False, While Non-negative Interference Generates More Intrusive Updates

According to the theory of reconsolidation, the contents of an original memory can be updated after reactivation with subsequent new learnings. However, there seems to be a lack of an appropriate behavioral paradigm to study the reconsolidation of explicit self-related memory, which is of great significance to further explore its cognitive neural mechanism in the future. In two separate experiments, we adapted a trial-by-trial interfering paradigm with a self-episodic simulation process and investigated (1) whether it is possible to reconsolidate negative memories under the new behavioral paradigm and (2) how the emotional valence of post-retrieval interference material affects the reconsolidation of negative memories. The results showed that the negative memories under trial-by-trial self-simulation can be degraded and updated via post-retrieval interference processes. Individuals whose original memories were reactivated by initial background cues and who were then presented with new interference situations were less able to recall original scenes and showed more memory intrusions on these scenes than those who had experienced new learning without reactivation or only reactivation without interference. Furthermore, the extent and manner of memory change/updating were greatly influenced by the characteristics of interference information. For memories with negative valences, new learning materials with the same valence produced superior interference effects in the form of lower correct recalls and more integrated false; whereas the neutral interference materials can cause more memory intrusion. Post-retrieval memory distortions of negative self-memory may underlie different functional mechanisms.

Schema-Related Eye Movements Support Episodic Simulation

Recent work indicates that eye movements support the retrieval of episodic memories by reactivating the spatiotemporal context in which they were encoded. Although similar mechanisms have been thought to support simulation of future episodes, there is currently no evidence to support this proposal. In the present study, we investigated the role of eye movements in episodic simulation by comparing the gaze patterns of individual participants imagining future scene and event scenarios to across-participant gaze templates for those same scenarios, reflecting their shared features (i.e., schemas). Our results provide novel evidence that eye movements during episodic simulation in the face of distracting visual noise are (1) schema-specific and (2) predictive of simulation success. Together, these findings suggest that eye movements support episodic simulation via reinstatement of scene and event schemas, and more broadly, that interactions between the memory and oculomotor effector systems may underlie critical cognitive processes including constructive episodic simulation.

Pairing Facts with Imagined Consequences Improves Pandemic-Related Risk Perception

The COVID-19 pandemic reached staggering new peaks during an ongoing global resurgence at the end of 2020. Although public health guidelines initially helped to slow the spread of disease, widespread pandemic fatigue and prolonged harm to financial stability and mental wellbeing have contributed to this resurgence. In this late stage of the pandemic, it is clear that new interventions are needed to support long-term behavior change. Here, we examined subjective perceived risk about COVID-19, and the relationship between perceived risk and engagement in risky behaviors. In Study 1 (N = 303), we found that subjective perceived risk is inaccurate but predicts compliance with public health guidelines. In Study 2 (N = 760), we developed a multi-faceted intervention designed to realign perceived risk with actual risk. Participants completed one of three variants of an episodic simulation task; we expected that imagining a COVID-related scenario would increase the salience of risk information and enhance behavior change. Immediately following the episodic simulation, participants completed a risk estimation task with personalized feedback about local risk levels. We found that information prediction error, a measure of surprise, drove beneficial change in perceived risk and willingness to engage in risky activities. Imagining a COVID-related scenario beforehand enhanced the effect of prediction error on learning. Importantly, our intervention produced lasting effects that persisted after a 1-3 week delay. Overall, we describe a fast and feasible online intervention that effectively changed beliefs and intentions about risky behaviors.