Risk Regulation Model: Understanding Human Behaviour

In the delicate dance of romantic entanglements, Sandra L. Murray’s risk regulation model emerges as a profound exploration of the human heart’s vulnerabilities and strengths. This theoretical framework provides invaluable insights into the complex emotional landscape individuals navigate in their pursuit of love and connection. It whispers of the intricate balance between the yearning for intimacy—a deep-seated desire to bond with another person—and the instinct for self-preservation, which often manifests as an underlying fear of rejection.

Every gesture of closeness becomes laden with meaning; we find ourselves weighing our desires against our apprehensions, questioning whether opening our hearts will lead to fulfillment or heartbreak. As such, this model serves not only as a map but also as a guide through the emotional terrain that characterizes romantic relationships.

At its core, Murray’s risk regulation model posits that our willingness to engage deeply with a partner hinges upon our belief in their unwavering regard and care. When we feel secure in our partner’s affection, we are more likely to embrace vulnerability—to allow ourselves to depend on them emotionally and foster genuine connections. However, this sense of security is fragile and can easily be disrupted by perceived threats or rejections—real or imagined—that cause us to retreat into self-protective behaviors.

As we delve further into this theory, it becomes clear that understanding these “if-then” contingencies—cognitive assessments tied to emotional responses—allows us to navigate our most intimate bonds with greater awareness and intention. Through recognizing these cognitive, affective, and behavioral signposts guiding us along this risk-laden journey of love, we can better comprehend not only how relationships flourish but also why they sometimes falter under pressure.

History of the Risk Regulation Model in Relationships

Sandra L. Murray, Professor of Psychology at the University at Buffalo, and John G. Holmes, Professor of Psychology at the University of Waterloo first presented the risk regulation model of relationships along with Nancy Collins in a published article in 2006. Their model sought to answer individual balancing of the conflicting goals of maintaining satisfying relationships while self-protecting against pain and rejection.

As an introduction to this publishing they pose the question, “how do people find the courage they need to love when risking greater closeness to another leaves them more vulnerable to the hurt and pain of rejection?” Their risk regulation model provides an answer to this intriguing question on human bonding and love.

The Primary Dilemma

The risk regulation model addresses what I refer to as the primary human dilemma. Murray, Holmes, and Collins wrote:

“The psychological costs of rejection only increase as interdependence and closeness grow” (Murray et al., 2006).

Basically, we have two basic needs that collide. We need protection against hurt and need love and connection. Self-protection demands limiting dependency on others while love and connection requires vulnerability.

Murray and Holmes wrote:

“Situations such as these pose an acute ‘conflict,’ or quandary, because they offer both the potential for gain and the potential for loss in putting one’s outcomes in the partner’s hands. These situations put people in an acute approach—avoidance conflict. The benefits that might be gained motivate people to seek connection (i.e., approach)—and put their outcomes in their partner’s hands. The costs that might be incurred motivate people to self-protect (i.e., avoid)—and keep their outcomes within their own hands” (Murray & Holmes, 2011, p. 32).

Justin V. Cavallo, Grainne M. Fitzsimons, and John G. Holmes explain that this dilemma creates a motivational tension.

They wrote:

“To satisfy fundamental belonging needs, people are driven to pursue intimacy and closeness with relationship partners. However, many of the cognitions and behaviors that facilitate intimacy require people to relinquish control over their personal outcomes to their partners and thereby leave one vulnerable to rejection” (Cavallo et al., 2009).

Individuals must open up to the risk of relationship hurts in order to establish the kind of satisfying relationship that can fulfill basic needs for belonging or connection (Baumeister & Leary, 1995). Because of the dynamics of this conflict, individuals rely on a risk regulation process to maximize the gains of connection and belonging while minimizing the vulnerability to the pain of romantic rejection.

See Primary Dilemma for more on this topic

Major Components of the Risk Regulation Model

Sandra Murray’s Risk Regulation Model is centered around the idea of balancing the desire for closeness in relationships with the need to protect oneself from the potential pain of rejection. The model consists of three interconnected “if–then” contingency rules that govern cognitive, affective, and behavioral responses in situations of interpersonal risk. These components are:

• Appraisal System: This involves the cognitive appraisal of risk situations to gauge a partner’s acceptance or rejection.
• Signal System: This links perceptions of a partner’s acceptance or rejection to affective responses, such as feelings of gratification or hurt, and changes in self-esteem.
• Behavioral Response System: This dictates the behavioral response to a partner’s perceived acceptance or rejection, influencing the willingness to increase interdependence in the relationship.

These systems operate in a dynamic interactive collaboration with each other, adjusting to one’s perceptions of a partner’s regard and caring, allowing individuals to navigate the complexities of intimacy and connection while managing the risks of dependence.

Appraisal System

In Sandra L. Murray’s risk regulation model, the appraisal system is a cognitive mechanism that individuals use to assess their partner’s acceptance and support in the context of romantic relationships. This system is part of three interconnected “if–then” contingency rules that govern responses to situations of interpersonal risk and dependence. The appraisal rule specifically links situations where one is dependent on their partner to the goal of evaluating the partner’s acceptance. It essentially asks, “If I am dependent on my partner in this situation, then how accepting and supportive is my partner likely to be?” (Murray et al., 2006).

Murray et al. explain:

“An appraisal system is necessary in romantic relationships because securing a caring and committed partner allows people to put self-protection aside and risk connection to one specific person” (Murray et al., 2006).

Dependency and Need Satisfaction

John Gottman suggests that appraisal essentially is answering the question, “Are you there for me?” (Gottman, 2011). Accordingly to Gottman, when we can affirmatively answer this question, trust is established. He adds that this question isn’t a simple catch all. Newly weds ask this question in many different contexts.

Siegel provides several examples:

• “Can I count on you to help with the housework?”
• “To be on time?”
• “To earn money for our family”
• “To choose me over your friends?”
• “To choose me over your parents?”
• “Can I count on you to stay interested in me sexually?”
• “Will you cheat on me?”

Gottman explains that these “contexts are all important in a loving, long-term, committed relationship” (Gottman, 2011). Murray and her colleagues wrote that if “people are to risk connection, the outcome of this appraisal process needs to give them reason to trust in a person’s responsiveness to needs in situations of dependency” (Murray et al., 2006).

This cognitive appraisal is crucial because it influences the other two components of the risk regulation system: the signaling and dependence regulation rules. The signaling rule connects perceptions of a partner’s acceptance or rejection to emotional responses and changes in self-esteem. The dependence regulation rule links these perceptions to one’s willingness to risk future dependence on the partner. Together, these rules help individuals navigate the delicate balance between seeking closeness and protection from potential pain of rejection.

Signal System

In Sandra L. Murray’s risk regulation model, the signaling system is one of the three interconnected “if–then” contingency rules that help individuals navigate the complexities of romantic relationships. This affective component links perceptions of a partner’s acceptance or rejection to the emotional experience, influencing feelings of satisfaction or hurt and corresponding changes in self-esteem (Murray et al., 2006).

The signaling system operates as follows:

• If an individual perceives their partner’s behavior as accepting and supportive, then they are likely to experience positive emotions and a boost in self-esteem.
• Conversely, if the partner’s behavior is perceived as rejecting or unsupportive, then the individual may experience negative emotions and a decline in self-esteem.

This system plays a critical role in how people respond to their partner’s actions and words, and ultimately, how they regulate their dependence on their partner in pursuit of a balanced and fulfilling relationship (Murray et al., 2006). When an individual internalizes negative signals, warning of possible rejection, these signals shift cognitions.

Gottman refers to a shift in perception that he refers to a s negative sentiment override.

Gottman wrote:

“In negative sentiment override, a negative perception is the ‘subtext’ that accompanies all interactions, and people start seeing their partner as having negative traits, such as being selfish, insensitive, or mean” (Gottman, 2011).

Behavioral Response System

In Sandra L. Murray’s risk regulation model, the Behavioral Response System is the third “if–then” contingency rule that influences how individuals manage interdependence in romantic relationships. This behavioral component links perceptions of a partner’s acceptance or rejection to one’s willingness to increase interdependence and seek closeness. Murray et al. explain that “when a partner’s general regard is in question and rejection seems more likely, people should tread cautiously, reserve judgment, and limit future dependence on the partner” (Murray et al., 2006).

The Behavioral Response System operates under the following premise:

• If an individual perceives their partner’s behavior as accepting and supportive, then they are more likely to engage in behaviors that increase interdependence. These behaviors may include seeking emotional support or sharing personal information.
• Conversely, if the partner’s behavior is perceived as rejecting or unsupportive, then the individual may withdraw, protecting themselves from potential hurt by reducing their dependence on the partner. These behavior may include emotional distancing, withholding self information, and less willingness to forgive transgressions.

This system is essential for understanding how people balance the need for connection with the need to protect themselves from the pain of rejection. It highlights the dynamic nature of romantic relationships. Each partner’s actions and perceptions can significantly impact the level of mutual dependence and overall relationship satisfaction.

Correlations of Risk Perception and Risk Taking Behavior

Furthermore, Murray’s risk regulation model delves into the intricate relationship between risk perception and risk-taking behavior. It posits that individuals engage in regulatory processes to manage perceived risks, utilizing coping strategies and decision-making mechanisms to address potential threats. These regulatory processes are deeply ingrained in the individual’s psyche and can significantly impact their risk-related choices and actions.

Several elements can influence risk perception in romantic relationships, shaping how individuals view the potential for harm or loss in their connections with partners. These factors include:

• Perceived Partner Commitment: The belief in a partner’s dedication to the relationship can significantly impact risk perception, with higher perceived commitment correlating with lower perceived risk.
• Appreciation: Feeling valued and appreciated by a partner can reduce the perception of risk, as it fosters a sense of security and mutual respect.
• Sexual Satisfaction: A fulfilling sexual relationship can influence the perceived stability and health of the partnership, thereby affecting risk perception.
• Perceived Partner Satisfaction: Knowing that one’s partner is happy in the relationship can decrease the perceived risk of investing further in the relationship.
• Conflict: The frequency and intensity of conflicts can increase the perception of risk, as ongoing disputes may signal instability.
• Individual Characteristics: Personal traits such as life satisfaction, negative emotions, depression, attachment anxiety, and attachment avoidance can also play a role in how one perceives risk in a relationship.

These elements interact in complex ways, contributing to the overall assessment of risk and influencing decisions about vulnerability and interdependence in romantic relationships. However, many factors outside the relationship also have a significant pull on risk evaluation. Cultural norms, childhood environments, biological sensitivities, and past relationships all create the framework for future evaluations of safety.

Practical Implications of the Risk Regulation Model

The practical implications of Sandra L. Murray’s risk regulation model are significant, particularly in the realm of romantic relationships and therapeutic interventions. Here are some key applications:

• Relationship Counseling: The model can be used by therapists to help couples understand and navigate the balance between intimacy and self-protection. It can guide discussions on trust, commitment, and how partners respond to perceived risks in the relationship.
• Personal Development: Individuals can use the model to reflect on their own relationship behaviors and patterns. Particularly, they can explore how they manage vulnerability and dependence on their partners. This self-awareness can lead to healthier relationship dynamics.
• Conflict Resolution: Understanding the model can help partners communicate more effectively during conflicts by recognizing how their actions may be perceived as accepting or rejecting, and how this perception influences their partner’s behavior.
• Building Trust: The model highlights the importance of trust in promoting connectedness and reducing the fear of rejection. Couples can work on building trust to ensure both partners feel safe to seek closeness and interdependence.
• Enhancing Relationship Satisfaction: By applying the principles of the risk regulation model, partners can work towards increasing relationship satisfaction through mutual understanding and support. Accordingly, these behavior invite a more fulfilling relationship while strengthening trust.

Overall, Murray’s risk regulation model provides a framework for understanding the complexities of interdependence and risk management in close relationships. It offers valuable insights for enhancing interpersonal connections and emotional well-being.

An Example of The Risk Regulation Model in Action

Imagine a couple, Anna and Marco, who have been dating for several months. Anna has been feeling insecure about Marco’s commitment to the relationship, which triggers her risk regulation system.

Appraisal System: Anna notices that Marco has been less communicative lately. She appraises this behavior as a sign of waning interest, which raises her perception of risk in the relationship.

Signaling System: As a result of her appraisal, Anna experiences negative emotions. She feels anxious and her self-esteem takes a hit because she interprets Marco’s behavior as a lack of acceptance and support.

Behavioral Response System: In response to these feelings, Anna’s behavior changes. She becomes more guarded and less willing to share her feelings or make plans for the future, as she fears further rejection or hurt.

However, Marco’s actual reason for being less communicative was due to increased responsibilities at work. Once they sit down to talk, Marco reassures Anna of his commitment, explaining the temporary nature of his workload.

Revised Appraisal: With this new information, Anna re-evaluates her perception of risk. She now sees Marco’s behavior as unrelated to his feelings for her.

Revised Signaling: This changes her emotional response. She feels relieved and her self-esteem is restored, knowing that Marco’s commitment hasn’t changed.

Revised Behavioral Response: Anna becomes more open again, willing to invest in the relationship. Accordingly, she plans for the future, as her fear of rejection decreases.

This example illustrates how the risk regulation model operates in romantic relationships, with perceptions and behaviors constantly adjusting as new information comes to light.

A Few Words by Psychology Fanatic

As we conclude our exploration of Sandra L. Murray’s risk regulation model, we are left with a profound appreciation for the intricate mechanisms that govern our romantic relationships. This model illuminates the delicate interplay between our desires for intimacy and our fears of vulnerability, providing a framework to understand how we manage the inherent risks of depending on another. It underscores the importance of perception in shaping our emotional responses and behaviors. This model reminds us that the quest for love is as much about understanding ourselves as it is about understanding our partners.

In the grand tapestry of human connection, Murray’s model serves as a guide, helping us navigate the ebb and flow of closeness and distance, acceptance and rejection. It encourages us to be mindful of the signals we send and receive. Accordingly, we can better appraise our relationships with clarity, and regulate our dependence with care. As we apply these insights, we can foster deeper, more resilient bonds that withstand the tests of time and trial.

Last Update: March 13, 2026

Associated Concepts

• Attachment Theory: This theory explores the patterns of attachment behavior established in early childhood. Furthermore, it examines how early attachment patterns influence interpersonal relationships in adulthood.
• Interdependence Theory: This concept examines how individuals in a relationship depend on each other for outcomes and how this interdependence affects their interactions.
• Rejection Sensitivity: This refers to the tendency to anxiously expect, readily perceive, and overreact to rejection. This topic is relevant to how individuals perceive and respond to potential risks in relationships.
• Emotional Vulnerability: This refers to the inherent vulnerability required for close intimate relationships. Vulnerability is a by product of trust, and necessary element of a close loving relationship.
• Social Exchange Theory: This theory looks at relationships as a series of interactions that are based on estimations of rewards and costs. Accordingly, this theory aligns with the risk regulation model’s focus on balancing closeness and self-protection.
• Self-Disclosure: The act of revealing personal information to others, which is a key aspect of developing intimacy in relationships. Motivation to self-disclose is influenced by perceived risks and rewards.

References:

Baumeister, R.; Leary, M. (1995). The Need to Belong: Desire for Interpersonal Attachments as a Fundamental Human Motivation. Psychological Bulletin,117(3), 497-529. DOI: 10.1037/0033-2909.117.3.497
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Cavallo, J., Fitzsimons, G.; Holmes, J. (2009). Taking Chances in the Face of Threat: Romantic Risk Regulation and Approach Motivation. Personality and Social Psychology Bulletin, 35(6), 737-751. DOI: 10.1177/0146167209332742
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Gottman, John M. (2011). The Science of Trust: Emotional Attunement for Couples. W. W. Norton & Company; Illustrated edition. ISBN-10: 0393707407; APA Record: 2011-06848-000
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Murray, Sandra L.; Holmes, John G. (2011). Interdependent Minds: The Dynamics of Close Relationships (Distinguished Contributions in Psychology). ‎The Guilford Press; 1st edition. ISBN: 9781609180768; APA Record: 2011-14224-000
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Murray, Sandra. L.; Holmes, John G.; Collins, Nancy L. (2006). Optimizing Assurance: The Risk Regulation System in Relationships. Psychological Bulletin, 132(5), 641–666. DOI: 10.1037/0033-2909.132.5.641
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Murray, S., McNulty, J., Xia, J., Lamarche, V., Seery, M., Ward, D., Griffin, D., Hicks, L., Jung, H. (2023). Pursuing Safety in Social Connection Regulates the Risk-Regulation, Social-Safety, and Behavioral-Immune Systems. Journal of Personality and Social Psychology, 125(3), 519-547. DOI: 10.1037/pspi0000420
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