Prosocial versus instrumental motives for interpersonal emotion regulation

The role of empathy in shared intentionality: Contributions from Inter-Processual Self theory

Research in psychology related to the conceptualization of empathy has been on the rise in the last decades. However, we argue that there is still space for further research to help capture the important notion of empathy and its theoretical and conceptual depth. Following a critical review of the current state of the research that conceptualizes and measures empathy, we focus on works that highlight the importance of a shared vision and its relevance in psychology and neuroscience. Considering the state of the art of current neuroscientific and psychological approaches to empathy, we argue for the relevance of shared intention and shared vision in empathy-related actions. Upon review of different models that emphasize a shared vision for informing research on empathy, we suggest that a newly developed theory of self, human growth and action–the so-called Inter-Processual Self theory (IPS)–can significantly and novelly inform the theorization on empathy beyond what the literature has stated to date. Then, we show how an understanding of integrity as a relational act that requires empathy is an essential mechanism for current key research on empathy and its related concepts and models. Ultimately, we aim to present IPS as a distinctive proposal to expand upon the conceptualization of empathy.

Planning with Theory of Mind

Understanding Theory of Mind should begin with an analysis of the problems it solves. The traditional answer is that Theory of Mind is used for predicting others' thoughts and actions. However, the same Theory of Mind is also used for planning to change others' thoughts and actions. Planning requires that Theory of Mind consists of abstract structured causal representations and supports efficient search and selection from innumerable possible actions. Theory of Mind contrasts with less cognitively demanding alternatives: statistical predictive models of other people's actions, or model-free reinforcement of actions by their effects on other people. Theory of Mind is likely used to plan novel interventions and predict their effects, for example, in pedagogy, emotion regulation, and impression management.

Experiential, expressive, and physiological effects of positive and negative emotion regulation goals while reappraising amusing stimuli

We examined whether positive and negative emotion regulation (ER) goals while cognitively reappraising amusing stimuli differentially engage positive (PA) and negative affect (NA) systems. Forty-eight women watched 20-30s amusing film clips. They were instructed to either respond naturally (no ER goal) or emphasize the film clips' positive (positive ER goal) or negative (negative ER goal) aspects in their interpretation. We measured PA and NA system activity on experiential, expressive, and physiological response channels through self-reported amusement and disgust, electromyography of zygomaticus major and corrugator supercilii, and autonomic nervous system reactivity from respiratory sinus arrhythmia (RSA) and pre-ejection period (PEP). Natural viewing (no ER goal) of amusing clips increased self-reported amusement (and to a lesser degree disgust), zygomaticus reactivity, and RSA. Compared to no and negative ER goals, reappraising the amusing clips with a positive ER goal decreased corrugator reactivity, decreasing negative emotional expression. Compared to no and positive ER goals, reappraising the amusing clips with a negative ER goal decreased self-reported amusement and zygomaticus reactivity and increased self-reported disgust and corrugator reactivity, decreasing positive and increasing negative emotional experience and expression. We conclude that positive and negative ER goals while reappraising amusing stimuli differentially engaged PA and NA systems: The positive ER goal engaged withdrawal of the expressive NA system, whereas the negative ER goal engaged reciprocal NA-PA system activation on experiential and expressive response channels.

Sorry, Not Sorry: Effects of Different Types of Apologies and Self-Monitoring on Non-verbal Behaviors

This study examines the effects of different types of apologies and individual differences in self-monitoring on non-verbal apology behaviors involving a server apologizing to a customer. Apologies divide into sincere apologies that reflect genuine recognition of fault, and instrumental apologies, made for achieving a personal goal such as avoiding punishment or rejection by others. Self-monitoring (public-performing and other-directedness) were also examined. Fifty-three female undergraduate students participated in the experiment. Participants were assigned randomly to either a sincere apology condition or an instrumental apology condition. They watched the film clip of the communication between a customer and server and then role-played how they would apologize if they were the server. Participants’ non-verbal behavior during the role-play was videotaped. The results showed an interaction between the apology condition and self-monitoring on non-verbal behaviors. When public-performing was low, gaze avoidance was more likely to occur with a sincere apology than an instrumental apology. There was no difference when the public-performing was high. Facial displays of apology were apparent in the instrumental apology compared to the sincere apology. This tendency became more conspicuous with increased public-performing. Our results indicated that the higher the public-performing, the more participants tried to convey the feeling of apology by combining a direct gaze and facial displays in an instrumental apology. On the other hand, results suggest that lower levels of public-performing elicited less immediacy in offering a sincere apology. Further studies are needed to determine whether these results apply to other conflict resolution situations.

"Calm Down," "Cheer Up": How Age Influences the Way We Manage Emotion in Social Partners

This study examines how individuals (regulators) manage emotion in their social partners (targets) and whether the age of the regulator or the age of the target influences extrinsic emotion regulation strategy preference. An online questionnaire was used to assess extrinsic emotion regulation among 580 participants aged 18-87 years (M = 50.04, SD = 18.13). Participants (regulators) indicated the extent to which they would be likely to use different strategies when interacting with a younger or older target who was upset. Results of multi-level modeling showed that older regulators endorsed less use of situation modification than younger regulators, but age differences in regulators' use of other strategies were not significant. After adjustment for relationship-specific covariates, regulators endorsed less use of attentional deployment and cognitive change, for older targets than younger targets. Results are discussed in the context of lifespan perspectives on social behavior and emotion regulation.

Half human, half machine – augmenting service employees with AI for interpersonal emotion regulation

Purpose

With the advent of increasingly sophisticated AI, the nature of work in the service frontline is changing. The next frontier is to go beyond replacing routine tasks and augmenting service employees with AI. The purpose of this paper is to investigate whether service employees augmented with AI-based emotion recognition software are more effective in interpersonal emotion regulation (IER) and whether and how IER impacts their own affective well-being.

Design/methodology/approach

For the underlying study, an AI-based emotion recognition software was developed in order to assist service employees in managing customer emotions. A field study based on 2,459 call center service interactions assessed the effectiveness of the AI in augmenting service employees for IER and the immediate downstream consequences for well-being relevant outcomes.

Findings

Augmenting service employees with AI significantly improved their IER activities. Employees in the AI (vs control) condition were significantly more effective in regulating customer emotions. IER goal attainment, in turn, mediated the effect on employee affective well-being. Perceived stress related to exposure to the AI augmentation acted as a competing mediator.

Practical implications

Service firms can benefit from state-of-the-art AI technology by focusing on its capacity to augment rather than merely replacing employees. Furthermore, signaling IER goal attainment with the help of technology may provide uplifting consequences for service employee affective well-being.

Originality/value

The present study is among the first to empirically test the introduction of an AI-fueled technology to augment service employees in handling customer emotions. This paper further complements the literature by investigating IER in a real-life setting and by uncovering goal attainment as a new mechanism underlying the effect of IER on the well-being of the sender.

Integrating Empathy and Interpersonal Emotion Regulation

When individuals experience empathy , they often seek to bolster others’ well-being. But what do empathizers want others to feel? Though psychologists have studied empathy and prosociality for decades, this question has yet to be clearly addressed. This is because virtually all existing research focuses on cases in which improving others’ well-being also comprises heightening their positive affect or decreasing their negative affect and helping them reach their own emotional goals. In this review, I argue that real-life empathic goals encompass a broader range—including sometimes worsening targets’ affect or contravening their wishes in order to improve their well-being—that can be productively integrated into the framework of interpersonal emotion regulation (IER). I review the empathic IER spectrum in a number of contexts, including close relationships, professional caregiving, and group-based emotions. Integrating empathy and IER provides a synthetic and generative way to ask new questions about how social emotions produce prosocial actions.

Blurring the Dichotomy of Good and Evil: The Idiosyncratic Helping Strategies Associated with Unmitigated–Agentic and Unmitigated–Communal Personalities

We theorized that unmitigated–agentic personality constructs (UAPs)—prioritizing ‘getting ahead’ over ‘getting along’—and unmitigated–communal personality constructs (UCPs)—prioritizing getting along over getting ahead—are associated with distinct affect–regulatory helping strategies. In Study 1 ( N = 179), UAPs, on average, related to greater negative–affect versus positive–affect induction helping tactics. In two experiments, UAPs, on average, related to a greater likelihood of selecting anger–inducing versus love–inducing or sadness–inducing songs to help a target overcome a breakup (Study 2; N = 313) and greater selection of anger–inducing and hubris–inducing messages versus authentic–pride–inducing and love–inducing messages to help a teammate struggling in a game (Study 3; N = 246). UCPs manifested the opposite patterns. Generally, these associations corresponded with helping–strategy utility beliefs and were robust to moderators of helping target (self or other; Study 2) or altruistic versus selfish motives (Study 3). Study 4 ( N = 205) provided some evidence of ecological validity in contexts of recalled everyday helping. Associations between personality constructs and relative helping strategies were about moderate in size ( rs ∼ .20) across these four studies. Findings suggest that UAPs are associated with helping strategies believed to promote ‘contemptuous’ self–enhancement relative to ‘innocuous’ self–enhancement and self–transcendence, and vice versa for UCPs. © 2019 European Association of Personality Psychology