Disruption of Social Orders in Societal Transitions as Affective Control of Uncertainty.

Bayesian affect control theory is a model of affect-driven social interaction under conditions of uncertainty. In this paper, we investigate how the operationalization of uncertainty in the model can be related to the disruption of social orders-societal pressures to adapt to ongoing environmental and technological change. First, we study the theoretical tradeoffs between three kinds of uncertainty as groups navigate external problems: validity (the predictability of the environment, including of other agents), coherence (the predictability of interpersonal affective dynamics), and dependence (the predictability of affective meanings). Second, we discuss how these uncertainty tradeoffs are related to contemporary political conflict and polarization in the context of societal transitions. To illustrate the potential of our model to analyze the socio-emotional consequences of uncertainty, we present a simulation of diverging individual affective meanings of occupational identities under uncertainty in a climate change mitigation scenario based on events in Germany. Finally, we sketch a possible research agenda to substantiate the novel, but yet mostly conjectural, ideas put forward in this paper.

How Cultural Meanings of Occupations in the U.S. Changed During the Covid-19 Pandemic.

Social research highlights the stability of cultural beliefs, broadly arguing that population-level changes are uncommon and mostly explained by cohort replacement rather than individual-level change. We find evidence suggesting that cultural change may also occur rapidly in response to an economically and socially transformative period. Using data collected just before and after the outbreak of Covid-19 in the U.S., we explore whether cultural beliefs about essential and non-essential occupations are dynamic in the face of an exogenous social and economic shock. Using a sample of respondents whose characteristics match the U.S. Census on sex, age, and race/ethnicity, we fielded surveys measuring cultural beliefs about 85 essential and non-essential occupations using the evaluation, potency, and activity (EPA) dimensions from the Affect Control Theory paradigm. We expected that EPA ratings of essential work identities would increase due to positive media coverage of essential occupations as indispensable and often selfless roles in the pandemic, while EPA ratings of non-essential identities would decline. Our findings show patterns that are both clear and inconsistent with our predictions. For both essential and non-essential occupations, almost all statistically significant changes in mean evaluation and potency were negative; activity showed relatively little change. Changes in evaluation scores were more negative for non-essential occupations than essential occupations. Results suggest that pervasive and persistent exogenous events are worth investigating as potential sources of episodic cultural belief change.

How does employees' behavior change how we feel about their organization? Transfer of affective impressions between employees and organizations.

Stable impressions of how good, powerful, and active an organization is may be jointly shared with their employees, yet the impression produced by employees' behavior may be transferred back to the organization. Our first studies shows that stable impressions, or sentiments, of organizations (e.g., a library) are fairly similar to those of their employees (e.g., an employee of a library), with organizations viewed as more powerful and morally extreme than their employees. Our principal studies along with affect control theory simulations show how the impressions created by an employee's behavior toward a customer (e.g., an employee of a library shouts at a customer) transfer to the employee's organization. Affect control theory simulations predict the impressions of an organization as well as they predict impressions of the individual employee. Regression and classification analyses give support to impression transfer, with the most transfer occurring for evaluation impressions, and more so for transferring bad impressions rather than good ones. Therefore, this research shows how a single behavior by a rank-and-file employee can shape outsider's impressions of organizations and the potential for applying affect control theory predictions to impressions of organizations.

Information vs. inspiration: Evaluating the effectiveness of mental illness stigma-reduction messages.

Numerous countries, communities, and organizations have conducted campaigns aimed at reducing the stigma of mental illness. Using an online experiment, we evaluate the relative effectiveness of three types of campaign messages (information about the biological origins of an illness, information about the psycho-social origins of an illness, and inspirational information about the competence of those with an illness) for reducing the perceived stigma (how I think others feel) and personal stigma (how I personally feel) tied to two illnesses (depression and schizophrenia). Drawing on expectation states theories (EST), affect control theories (ACT), and past research, we expected all three messages to reduce both types of stigma, with their relative effectiveness following this order: competence > psycho-social > biology. We find that the messages are more effective at reducing personal stigma than perceived stigma and that the competence message reduces both types of stigma more effectively than the other messages. More specifically, we find that (1) none of the messages reduce the perceived stigma of depression, (2) only the competence message consistently reduces the perceived stigma of schizophrenia, (3) only the competence message reduces personal stigma toward individuals with depression, and (4) all three messages reduce personal stigma toward individuals with schizophrenia and do so equally well. The findings provide support for propositions in EST and ACT and suggest that stigma-reduction campaigns that focus on the competence and capabilities of individuals with a mental illness will be more effective than those that focus on information about the origins of mental illness.

Equality and Freedom as Uncertainty in Groups.

In this paper, I investigate a connection between a common characterisation of freedom and how uncertainty is managed in a Bayesian hierarchical model. To do this, I consider a distributed factorization of a group's optimization of free energy, in which each agent is attempting to align with the group and with its own model. I show how this can lead to equilibria for groups, defined by the capacity of the model being used, essentially how many different datasets it can handle. In particular, I show that there is a "sweet spot" in the capacity of a normal model in each agent's decentralized optimization, and that this "sweet spot" corresponds to minimal free energy for the group. At the sweet spot, an agent can predict what the group will do and the group is not surprised by the agent. However, there is an asymmetry. A higher capacity model for an agent makes it harder for the individual to learn, as there are more parameters. Simultaneously, a higher capacity model for the group, implemented as a higher capacity model for each member agent, makes it easier for a group to integrate a new member. To optimize for a group of agents then requires one to make a trade-off in capacity, as each individual agent seeks to decrease capacity, but there is pressure from the group to increase capacity of all members. This pressure exists because as individual agent's capacities are reduced, so too are their abilities to model other agents, and thereby to establish pro-social behavioural patterns. I then consider a basic two-level (dual process) Bayesian model of social reasoning and a set of three parameters of capacity that are required to implement such a model. Considering these three capacities as dependent elements in a free energy minimization for a group leads to a "sweet surface" in a three-dimensional space defining the triplet of parameters that each agent must use should they hope to minimize free energy as a group. Finally, I relate these three parameters to three notions of freedom and equality in human social organization, and postulate a correspondence between freedom and model capacity. That is, models with higher capacity, have more freedom as they can interact with more datasets.

Consensus and stratification in the affective meaning of human sociality.

We investigate intrasocietal consensus and variation in affective meanings of concepts related to authority and community, two elementary forms of human sociality. Survey participants (n = 2,849) from different socioeconomic status (SES) groups in German society provided ratings of 909 social concepts along three basic dimensions of affective meaning. Results show widespread consensus on these meanings within society and demonstrate that a meaningful structure of socially shared knowledge emerges from organizing concepts according to their affective similarity. The consensus finding is further qualified by evidence for subtle systematic variation along SES differences. In relation to affectively neutral words, high-status individuals evaluate intimacy-related and socially desirable concepts as less positive and powerful than middle- or low-status individuals, while perceiving antisocial concepts as relatively more threatening. This systematic variation across SES groups suggests that the affective meaning of sociality is to some degree a function of social stratification.

Preserving the self with artificial intelligence using VIPCare-a virtual interaction program for dementia caregivers.

Introduction: Assistive technology is increasingly used to support the physical needs of differently abled persons but has yet to make inroads on support for cognitive or psychological issues. This gap is an opportunity to address another-the lack of contribution from theoretical social science that can provide insights into problems that cannot be seen. Using Affect Control Theory (ACT), the current project seeks to close that gap with an artificially intelligent application to improve interaction and affect for people with Alzheimer's Disease and Related Dementias (ADRD). Using sociological theory, it models interactions with persons with ADRD based on self-sentiments, rather than cognitive memory, and informs a cellphone-based assistive tool called VIPCare for supporting caregivers. Methods: Staff focus groups and interviews with family members of persons with ADRD in a long-term residential care facility collected residents' daily needs and personal histories. Using ACT's evaluation, potency, and activity dimensions, researchers used these data to formulate a self-sentiment profile for each resident and programmed that profile into the VIPCare application. VIPCare used that profile to simulate affectively intelligent social interactions with each unique resident that reduce deflection from established sentiments and, thus, negative emotions. Results: We report on the data collection to design the application, develop self-sentiment profiles for the resident, and generate assistive technology that applies a sociological theory of affect to real world management of interaction, emotion, and mental health. Discussion: By reducing trial and error in learning to engage people with dementia, this tool has potential to smooth interaction and improve wellbeing for a population vulnerable to distress.

The effect of occupational status on health: Putting the social in socioeconomic status.

High status occupations support positive health outcomes through providing access to both material and psychosocial resources. However, common measures of occupational status such as occupational prestige scores fail to capture cultural esteem that certain occupations can provide because they are primarily associated with the material dimensions of status, like income. Drawing on Weberian conceptions of status and a body of social psychological research on the measurement of cultural meaning, we argue that measuring people's ratings of their occupations on three dimensions-evaluation (good/bad), potency (powerful/weak), and activity (active/inactive)-provides an occupational status indicator that more fully captures psychosocial resources like esteem that are associated with health than more commonly used occupational prestige scores. Using a nationally representative longitudinal health and wellbeing survey of 940 American law enforcement officers collected between 2020 and 2022, we evaluate the predictive ability of evaluation, potency, and activity (EPA) ratings across thirteen measures of health and wellbeing. We find that EPA ratings were significant and positive predictors of eleven of thirteen outcomes with stronger effects for mental health outcomes compared to physical health outcomes. EPA ratings were more predictive than more commonly used occupational prestige scores. We conclude that EPA ratings are better predictors of health outcomes than occupational prestige scores and so may allow health researchers to better understand the relationship between occupational status and health.

Cultural reproduction of mental illness stigma and stereotypes.

This study investigates how schemas and stereotypes about individuals with mental illness shape how information is transmitted between people. Mental illnesses are highly stigmatized identities, and prior work illustrates the persistence of mental illness stigma, despite public health efforts aimed at increasing awareness of the biological origins of mental illness (Pescosolido et al., 2010). Recent work has also demonstrated the utility of combining cultural cognition with social psychological theories of cultural meaning to investigate how stereotypes are transmitted through secondhand narratives (Hunzaker 2014, 2016). We connect this social psychological work with medical sociological literature on mental illness stigmas and propose that stereotypes function as cultural schemas that shape the way stories are remembered and retold about individuals with a mental illness. We then conduct a narrative transmission study to test this proposal, using schizophrenia as a case of interest. Consistent with prior work, we find that individuals who retell a story about a person with schizophrenia alter the narrative so that it becomes more consistent with stereotypes about individuals with schizophrenia. We also find that stereotype-inconsistent information is more likely to be transformed to align with culturally shared beliefs about schizophrenia. The findings extend prior work on how bias shapes the reproduction of mental illness stereotypes, and demonstrate how socially learned cultural beliefs can reinforce stereotypes, biases and stigma about mental illness.

User perspectives on emotionally aligned social robots for older adults and persons living with dementia.

Introduction: Socially assistive robots are devices designed to aid users through social interaction and companionship. Social robotics promise to support cognitive health and aging in place for older adults with and without dementia, as well as their care partners. However, while new and more advanced social robots are entering the commercial market, there are still major barriers to their adoption, including a lack of emotional alignment between users and their robots. Affect Control Theory (ACT) is a framework that allows for the computational modeling of emotional alignment between two partners. Methods: We conducted a Canadian online survey capturing attitudes, emotions, and perspectives surrounding pet-like robots among older adults (n = 171), care partners (n = 28), and persons living with dementia (n = 7). Results: We demonstrate the potential of ACT to model the emotional relationship between older adult users and three exemplar robots. We also capture a rich description of participants' robot attitudes through the lens of the Technology Acceptance Model, as well as the most important ethical concerns around social robot use. Conclusions: Findings from this work will support the development of emotionally aligned, user-centered robots for older adults, care partners, and people living with dementia.

Making sense of social interaction: Emotional coherence drives semantic integration as assessed by event-related potentials.

We compared event-related potentials during sentence reading, using impression formation equations of a model of affective coherence, to investigate the role of affective content processing during meaning making. The model of Affect Control Theory (ACT; Heise, 1979, 2007) predicts and quantifies the degree to which social interactions deflect from prevailing social norms and values - based on the affective meanings of involved concepts. We tested whether this model can predict the amplitude of brain waves traditionally associated with semantic processing. To this end, we visually presented sentences describing basic subject-verb-object social interactions and measured event-related potentials for final words of sentences from three different conditions of affective deflection (low, medium, high) as computed by a variant of the ACT model (Schröder, 2011). Sentence stimuli were closely controlled across conditions for alternate semantic dimensions such as contextual constraints, cloze probabilities, co-occurrences of subject-object and verb-object relations. Personality characteristics (schizotypy, Big Five) were assessed to account for individual differences, assumed to influence emotion-language interactions in information processing. Affective deflection provoked increased negativity of ERP waves during the P2/N2 and N400 components. Our data suggest that affective incoherence is perceived as conflicting information interfering with early semantic processing and that increased respective processing demands - in particular in the case of medium violations of social norms - linger on until the N400 time window classically associated with the integration of concepts into embedding context. We conclude from these results that affective meanings influence basic stages of meaning making.

Qualitative study of affective identities in dementia patients for the design of cognitive assistive technologies.

Our overall aim is to develop an emotionally intelligent cognitive assistant (ICA) to help older adults with Alzheimer's disease (AD) to complete activities of daily living more independently. For improved adoption, such a system should take into account how individuals feel about who they are. This paper investigates different affective identities found in older care home residents with AD, leading to a computational characterization of these aspects and, thus, tailored prompts to each specific individual's identity in a way that potentially ensures smoother and more effective uptake and response. We report on a set of qualitative interviews with 12 older adult care home residents and caregivers. The interview covered life domains (family, origin, occupation, etc.), and feelings related to the ICA. All interviews were transcribed and analyzed to extract a set of affective identities, coded according to the social-psychological principles of affect control theory (ACT). Preliminary results show that a set of identities can be extracted for each participant (e.g. father, husband). Furthermore, our results provide support for the proposition that, while identities grounded in memories fade as a person loses their memory, habitual aspects of identity that reflect the overall "persona" may persist longer, even without situational context.

Comment: Affect Control Theory and Cultural Priming: A Perspective from Cultural Neuroscience.

Affect control theory posits that emotions are constructed by social and cultural forces. Rogers, Schröder, and von Scheve (2014) introduce affect control theory as a conceptual and methodological "hub," linking theories from different disciplines across levels of analysis. To illustrate this further, we apply their framework to cultural priming, an experimental technique in cultural psychology and neuroscience for testing how exposure to cultural symbols (e.g., words and pictures) changes people's behavior, cognition, and emotion. Our analysis supports the use of affect control theory in linking different levels of analysis while leaving some opening questions for improving such a framework in future research.