Relevant bibliographies by topics / Heise's Affect Control Theory

Academic literature on the topic 'Heise's Affect Control Theory'

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Published: 10 December 2022
Last updated: 19 February 2023

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Journal articles on the topic "Heise's Affect Control Theory"

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Schröder, Tobias, Janine Netzel, Carsten C. Schermuly, and Wolfgang Scholl. "Culture-Constrained Affective Consistency of Interpersonal Behavior." Social Psychology 44, no. 1 (January 1, 2013): 47–58. http://dx.doi.org/10.1027/1864-9335/a000101.

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We examined the core hypothesis of affect control theory (ACT; Heise, 2007 ), namely, that human social interaction is guided by culture-constrained affective consistency. Our study is the first empirical test of this principle applied to nonverbal behavior. A group of 120 subjects in 60 dyads were videotaped during a problem-solving task. Their interactions were subdivided into discrete meaningful events and assigned ratings of the friendliness, dominance, and activity displayed by the interactants. We used a computational model based on ACT to predict frequencies of, and likely sequences between, specific patterns of interpersonal affect. The model predicted the data well. We argue that assuming a principle of consistency is valuable for understanding not only individual social cognition, but also the interdependencies between individuals, social settings, and culture.
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Rogers, Kimberly B. "Event Likelihood Judgments Revisited." Social Psychology Quarterly 84, no. 2 (March 6, 2021): 177–88. http://dx.doi.org/10.1177/0190272521997065.

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Affect control theory shows how cultural meanings for identities and behaviors are used to form impressions of events and guide social action. The theory’s impression formation equations are the engine of its predictions about events and the deflection they generate (i.e., how much they violate, versus conform to, cultural prescriptions). In this research, I examine the relationship between affective (deflection) and cognitive responses to events, with a focus on judgments of event likelihood. I present a series of analyses that show that event likelihood judgments are impacted by events’ perceived normativity, commonality in social life, and our personal experience with events like them and by the appearance likelihood of the actors, combinations of actors, and behaviors they involve and that likelihood ratings and deflection most often diverge for institutionally vague events. I additionally show that deflection computed using Heise’s 2014 impression-change equations strongly predicts event likelihood.
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Schneider, Andreas, and Tobias Schröder. "Ideal Types of Leadership as Patterns of Affective Meaning." Social Psychology Quarterly 75, no. 3 (July 5, 2012): 268–87. http://dx.doi.org/10.1177/0190272512446755.

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We propose that macro-level ideal types of leadership, as described in the classic work of Max Weber and reflected in the contemporary management literature, are mirrored in micro-level affective meanings. Within Osgood’s three-dimensional affective space, we identify specific patterns corresponding to leadership styles: people evaluate authoritative/transactional leadership as positive, powerful, and neither passive nor active. Charismatic/transformational leadership is perceived as equally positive and powerful but involves a much higher degree of activity-arousal. Finally, coercive leadership is negative, powerful, and active. Based on Heise’s cybernetic symbolic-interactionist affect control theory, we compare cultural representations of business managers in the United States and Germany at different points in time. We demonstrate a shift from transactional to charismatic leadership in the U.S. manager stereotype and a contrasting consolidation of coercive leadership expectations in Germany. We discuss implications for (1) cross-cultural communication and (2) affective meaning as indicator of social change.
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Smith‐Lovin, Lynn. "Affect control theory: An assessment*." Journal of Mathematical Sociology 13, no. 1-2 (December 1987): 171–92. http://dx.doi.org/10.1080/0022250x.1987.9990031.

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Heise, David R. "Affect control theory: Concepts and model." Journal of Mathematical Sociology 13, no. 1-2 (December 1987): 1–33. http://dx.doi.org/10.1080/0022250x.1987.9990025.

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Salmela, Mikko. "Comment: Critical Questions for Affect Control Theory." Emotion Review 6, no. 2 (March 7, 2014): 138–39. http://dx.doi.org/10.1177/1754073913512002.

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Bergstrand, Kelly, and James M. Jasper. "Villains, Victims, and Heroes in Character Theory and Affect Control Theory." Social Psychology Quarterly 81, no. 3 (August 28, 2018): 228–47. http://dx.doi.org/10.1177/0190272518781050.

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We examine three basic tropes—villain, victim, and hero—that emerge in images, claims, and narratives. We compare recent research on characters with the predictions of an established tradition, affect control theory (ACT). Combined, the theories describe core traits of the villain-victim-hero triad and predict audiences’ reactions. Character theory (CT) can help us understand the cultural roots of evaluation, potency, and activity profiles and the robustness of profile ratings. It also provides nuanced information regarding multiplicity in, and subtypes of, characters and how characters work together to define roles. Character types can be strategically deployed in political realms, potentially guiding strategies, goals, and group dynamics. ACT predictions hold up well, but CT suggests several paths for extension and elaboration. In many cases, cultural research and social psychology work on parallel tracks, with little cross-talk. They have much to learn from each other.
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Bergstrand, Kelly. "The Advantaged Cause: Affect Control Theory and Social Movements." Socius: Sociological Research for a Dynamic World 5 (January 2019): 237802311984181. http://dx.doi.org/10.1177/2378023119841811.

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The role of grievances in drawing public concern and activist support is a surprisingly understudied topic in modern social movement literature. This research is the first to parse issues into core components to understand whether some grievances are more successful than others in evoking reactions that can benefit social movements. Specifically, I use concepts and measures developed by affect control theory scholars that tap into cultural perceptions of the goodness or badness of behaviors and identities to investigate how people react to different configurations of good or bad perpetrators, behaviors, and victims in mobilizing events. I find strong support, across outcomes, that evaluations of goodness and badness in grievances affect people’s willingness to care about an issue or support a campaign. This provides insights into both the types of movements more likely to be successful as well as the types of social problems less likely to draw public support.
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IKE, SHUICHIROU, SCHNEIDER ANDREAS, and SMITH W. HERMAN. "An Analytical Frame of Affective Meanings Using Affect Control Theory." Journal of Natural Language Processing 14, no. 3 (2007): 99–115. http://dx.doi.org/10.5715/jnlp.14.3_99.

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Tsoudis, Olga. "Relation of Affect Control Theory to the Sentencing of Criminals." Journal of Social Psychology 140, no. 4 (August 2000): 473–85. http://dx.doi.org/10.1080/00224540009600486.

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Dissertations / Theses on the topic "Heise's Affect Control Theory"

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Nelson, Steven Mark. "Offender Crime Perspectives: A Study in Affect Control Theory." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/194183.

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This study argues for the need of a testable general symbolic interactionist theory of criminal behavior. I look to affect control theory, a structural symbolic interactionist theory of behavior focused on the cybernetic maintenance of affective meanings shared within a linguistic group and extrapolate from its statements and equations using a large hypothetical event simulation. Employing a novel story-telling interview method to uncover the process of definition of the situation, I interview twenty-five paroled offenders and describe a typical view of criminal actions in both violent and property crime events. I examine this view for criminogenic potential. Next, I investigate the popular view that identity controls behavior in interaction by asking parolees about themselves, and comparing their self perspectives to those of undergraduate students. No support for this view is found. Implications of different culturally-based meaning systems are then examined by measuring affective meanings of criminal events as they are perceived by three different aggregate groups: paroled offenders, probationary offenders, and undergraduate student non-offenders. Affect control predictions about the likelihood of criminal events given these perspectives are found to be in accordance with the relative surmised likelihood of criminal behavior for these groups, as extrapolated from their past behavior. This supports arguments of a culturally based explanation of criminal behavior. I argue that affect control theory presents criminology with the novel potential for a generative theory of crime that integrates micrological and macrological levels of analysis. Finally I outline a proposed affect control theory of crime for further testing.
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Rashotte, Lisa Slattery 1970. "Nonverbal behaviors in social interaction: An extension to affect control theory." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282699.

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Nonverbal behaviors impact our perceptions of interaction. Many sociological theories have attempted to understand how perceptions work in interaction. Affect Control Theory is one which has had particular success in understanding the ways in which people perceive events generally; with this research I hope to be able to make that theory even stronger and more predictive by including nonverbal behaviors in its scope. A four-study research design is presented. The first study collected the affective meanings of nonverbal behaviors independent of event contexts. Study two paired nonverbal behaviors with other behaviors to see how they combine in people's perceptions to create new affective meanings. The third and fourth studies required performing two experiments (one with paper stimuli and one with videotaped stimuli) to see what effects the inclusion of nonverbal behaviors has on impressions people form of events and event elements. I found that single nonverbal elements each have distinct meanings and create distinct impressions in those who view them; that nonverbal behaviors work in combination with behaviors to create modified impressions of situations; that nonverbal behaviors play as important a role as behaviors in those combinations; and that nonverbal behavior ratings are essential to understanding the meaning of behaviors in event contexts. This project has increased our understanding of the relationship between nonverbal behaviors and impressions that are formed in the context of interpersonal interaction. In addition, it increased the utility of Affect Control Theory in predicting event perceptions by allowing for more accurate understanding of the complex situations in which people interact.
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McDonald, Emily. "Understanding How Jurors Award Civil Damages: A Test of Affect Control Theory." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4588/.

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This dissertation examines predictors of juror-determined damage awards among 377 juror eligible mock jurors. Citizens reporting for jury duty in a large metropolitan county on five days when the study was conducted were invited to participate. Scenarios were created that varied both case facts and witness emotion during trial testimony. Results indicate that Affect Control Theory can be applied to the situation of juror-determined damage awards and is helpful in scientifically explaining some of the variation of both compensatory and punitive damage awards.
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Buchanan, Ian, and David Savat. "Affect and Noise in the Society of Control." Universität Leipzig, 2020. https://ul.qucosa.de/id/qucosa%3A71593.

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In his short paper “Postscript on Control Societies” (Deleuze 1995: 177-82), Gilles Deleuze offered one of the most searing diagnoses of contemporary society critical theory has produced. Three decades later, this essay remains remarkable for its prescience, especially when one considers that the World Wide Web was not in existence at the time that Deleuze wrote his essay, let alone smart phones and social media. Now that we’re beginning to understand the impact of global corporations such as Facebook and Alphabet (Google’s parent company), it could be argued that the essay speaks to today’s technological reality even more incisively than it did thirty years ago. Deleuze identified some of the key principles and logics at work.
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Clark-Miller, Kristi Marie. "The Adoptive Identity: Stigma and Social Interaction." Diss., Tucson, Ariz. : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1374%5F1%5Fm.pdf&type=application/pdf.

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Sage, Adam J. "Attributing Deflections to Explain Agency." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1259181941.

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Erenler, Muhammed. "A Social Control Theory| Bridging the Information-Violence Gap| How Can Information Provision Affect States' Tendency Toward Violence Against Civilians?" Thesis, State University of New York at Buffalo, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10618738.

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Whether the initiators are government states or rebel groups, sustained and systematic violence against civilians is a regular feature of intrastate warfare. However, especially in recent years, the barbaric atrocities of rebel groups such as ISIS, Al Shabaab, Boko Haram, Al Qaeda, and the Al Nusra Front have largely overshadowed the ruthless massacres initiated by so-called “legitimate” states. Even though such actors may at times find independent sources of revenue from external patrons, trans-border outlets, or ethnic kin, civilian support (e.g., food, shelter, weapons, refuge, and recruits) is often necessary to sustain a military effort in a civil war. The question, then, is if civilian support is important, why would states – seemingly irrationally – kill the goose that lays the golden egg?

This study seeks to answer this question. In this research, I argue that “social control” over the population offers the potential to dramatically change the environment in which all of the actors (the government, rebel groups, and civilians) live, facilitating an end to the civil war, or at least alleviating some of its negative consequences. Ever-growing surveillance and dataveillance practices make this social control possible. When civilians believe that they are being closely watched by their government (and might be punished for real or perceived disobedience), they instinctively refrain from behaviors they believe might incite the government to use violence, which in turn leads states to perpetrate less violence against civilians. For the state, this environment of constant surveillance and the information it yields substantially affect the level of virtual control that can be exerted, thereby reducing the amount of violence the state needs to initiate.

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Joseph, Kenneth. "New Methods for Large-Scale Analyses of Social Identities and Stereotypes." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/690.

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Social identities, the labels we use to describe ourselves and others, carry with them stereotypes that have significant impacts on our social lives. Our stereotypes, sometimes without us knowing, guide our decisions on whom to talk to and whom to stay away from, whom to befriend and whom to bully, whom to treat with reverence and whom to view with disgust. Despite these impacts of identities and stereotypes on our lives, existing methods used to understand them are lacking. In this thesis, I first develop three novel computational tools that further our ability to test and utilize existing social theory on identity and stereotypes. These tools include a method to extract identities from Twitter data, a method to infer affective stereotypes from newspaper data and a method to infer both affective and semantic stereotypes from Twitter data. Case studies using these methods provide insights into Twitter data relevant to the Eric Garner and Michael Brown tragedies and both Twitter and newspaper data from the “Arab Spring”. Results from these case studies motivate the need for not only new methods for existing theory, but new social theory as well. To this end, I develop a new sociotheoretic model of identity labeling - how we choose which label to apply to others in a particular situation. The model combines data, methods and theory from the social sciences and machine learning, providing an important example of the surprisingly rich interconnections between these fields.
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Mejova, Yelena Aleksandrovna. "Sentiment analysis within and across social media streams." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2943.

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Social media offers a powerful outlet for people's thoughts and feelings -- it is an enormous ever-growing source of texts ranging from everyday observations to involved discussions. This thesis contributes to the field of sentiment analysis, which aims to extract emotions and opinions from text. A basic goal is to classify text as expressing either positive or negative emotion. Sentiment classifiers have been built for social media text such as product reviews, blog posts, and even Twitter messages. With increasing complexity of text sources and topics, it is time to re-examine the standard sentiment extraction approaches, and possibly to re-define and enrich sentiment definition. Thus, this thesis begins by introducing a rich multi-dimensional model based on Affect Control Theory and showing its usefulness in sentiment classification. Next, unlike sentiment analysis research to date, we examine sentiment expression and polarity classification within and across various social media streams by building topical datasets. When comparing Twitter, reviews, and blogs on consumer product topics, we show that it is possible, and sometimes even beneficial, to train sentiment classifiers on text sources which are different from the target text. This is not the case, however, when we compare political discussion in YouTube comments to Twitter posts, demonstrating the difficulty of political sentiment classification. We further show that neither discussion volume or sentiment expressed in these streams correspond well to national polls, putting in question recent research linking the two. The complexity of political discussion also calls for a more specific re-definition of "sentiment" as agreement with the author's political stance. We conclude that sentiment must be defined, and tools for its analysis designed, within a larger framework of human interaction.
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De, Pino Vincenzina, and enz79@hotmail com. "Reward Sensitivity and Outcome Expectancies Predict Both Alcohol and Cannabis Use in Young Adults." RMIT University. Health Sciences, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20091020.101518.

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The primary focus of this thesis was to examine the relationship of reward sensitivity and outcome expectancies, variables traditionally associated with alcohol use, to cannabis use behaviour and to explore the relationship of affect and locus of control to alcohol and cannabis use. It was hypothesised that hazardous alcohol and cannabis use would be related to higher levels of reward sensitivity and to the endorsement of more positive outcome expectancies. It was also hypothesised that positive outcome expectancies would mediate the relationship between reward sensitivity and cannabis use, and that the relationship between reward sensitivity and both alcohol and cannabis use would be moderated by punishment sensitivity. No specific hypotheses were formulated for the relationship of negative outcome expectancies, affect and locus of control of reinforcement to substance use. A total of 465 young adults aged between 18 and 35 years completed a questionnaire which assessed substance use patterns, reward and punishment sensitivity, outcome expectancies, locus of control, and affect. Results indicated that higher levels of reward sensitivity reliably distinguished hazardous from non-hazardous alcohol and cannabis users as well as cannabis users from cannabis non-users. The relationship between reward sensitivity and substance use was partially mediated by outcome expectancies, but not moderated by punishment sensitivity. An exploratory factor analysis demonstrated a high rate of concordance between alcohol and cannabis outcome expectancies. Locus of control of reinforcement was found to be unrelated to alcohol and cannabis use behaviour. There was little commonality in the relationship of sensitivity to punishment, negative outcome expectancies, and affect to alcohol and cannabis use. The second focus of this thesis was to pilot an intervention aimed at reducing alcohol use via the challenging of expectations regarding the rewarding outcomes associated with alcohol use in a group of young adult Australian males. A three session intervention was completed by three males aged between 19 and 31 years. The results demonstrated no reduction in hazardous alcohol use or global positive alcohol outcome expectancies at the completion of the intervention program or at a 3-month follow-up. Furthermore, there was no reduction in expectancies of increased sexual interest for any of the participants at the 3-month follow-up compared to baseline, despite a reduction in these expectancies for one of the three participants at the completion of the intervention. A reduction in monthly drinking levels and in expectancies of increased confidence compared to baseline was noted for two of the three participants at the 3-month follow-up. It was concluded overall that there is consistency between the relationships of reward sensitivity and positive outcome expectancies to alcohol and cannabis use and that outcome expectancies may be a proximal mechanism through which reward sensitivity influences alcohol and cannabis use. It was further concluded that whilst causal inferences regarding the effectiveness of the intervention could not be made, the results provide some evidence for the usefulness of this treatment in changing a proportion of the studied outcomes. This potentially provides an incentive for future controlled design research in larger samples and with alternate substances.
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Books on the topic "Heise's Affect Control Theory"

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Hitlin, Steven, and Sarah K. Harkness. Affect Control Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190465407.003.0007.

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This chapter draws on the theoretical and methodological insights from Affect Control theory (ACT), a theory with decades of research and empirical support, to set up our cross-cultural analyses examing our theory of societal inequality. ACT is a formal mathematical theory used to examine how the various facets of social events (such as the identities and emotions) shape ongoing social action. ACT distills the representation of these various facets to their simplest, most universally recognized dimensions of meaning: evaluation (good vs. bad), potency (powerful vs. weak), and activity (fast vs. slow). ACT then provides a way of understanding and modeling social interactions so that it is possible to empirically compare the likely emotions resulting from the same types of interactions in various cultures. The chapter gives a broad overview of the theory so that the reader understands why it is useful and provides justification for the empirical analysis used in the book.
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Lynn, Smith-Lovin, and Heise David R, eds. Analyzing social interaction: Advances in affect control theory. New York: Gordon and Breach Science Publishers, 1988.

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Heise, David R., and Lynn Smith-Lovin. Analyzing Social Interaction: Advances in Affect Control Theory. Taylor & Francis Group, 2016.

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Smith-Lovin, L. Analyzing Social Interaction: Advances in Affect Control Theory. Routledge, 1988.

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Heise, David R., and Lynn Smith-Lovin. Analyzing Social Interaction: Advances in Affect Control Theory. Taylor & Francis Group, 2016.

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Bateson, Patrick. Evolutionary Theory Evolving. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199377176.003.0004.

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The formation of new species was thought to result from a slow process of Darwinian evolution, but evidence indicates it can occur suddenly. The organism was thought to be passive, playing no role in evolution, but it can affect the evolution of its descendants because of its mobility, choices, control of the environment, and adaptability. Developmental processes were thought to be irrelevant to an understanding of evolution, but the enormous growth of epigenetics suggests that these processes can play an important role in evolutionary change. Acquired information can be passed to progeny without changing DNA sequences, and information can be inherited for a period in the absence of the initial environmental trigger. All this evidence suggests that evolutionary theory is evolving.
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Conner, Mark T. Experiential Attitude and Anticipated Affect. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190499037.003.0003.

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Recent research has explored the effects of two affective influences within models such as the theory of planned behavior and reasoned action approach: experiential attitude and anticipated affect. Both refer to perceptions of future affect, that is, cognitively mediated affect. Primary studies and meta-analytic reviews supporting the role of these two affective variables on health behavior are presented. The correlational data use prospective designs and control for other health cognitions and past behavior. The experimental data also explore whether the affective variables mediate the impact of the “affective intervention” on behavior. Strong support is found across studies for both experiential attitude and anticipated affect as important determinants of health behaviors even when controlling for other health cognitions and past behavior. The need for further experimental studies with objective measures of health behavior is noted. Further the testing of the combined effects of manipulating both affective variables is highlighted for further attention.
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Hall, Peter A., Geoffrey T. Fong, and Cassandra J. Lowe. Affective Dynamics in Temporal Self-Regulation Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190499037.003.0006.

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Affective experiences are part of our everyday life, but do they influence health-related decisions and behaviors in a systematic way? Temporal self-regulation theory (TST) posits that health behaviors are a joint function of neurobiologically rooted executive control processes, prepotency, and intentions. The relative weights of these in turn depend largely on the ecological context in which the behaviors are being performed. On the surface, then, TST is a model of health behavior that relies predominantly on social-cognitive and neurocognitive constructs to explain health behavior trajectories. For this reason, it appears to not deal directly with the topic of affect in general, and emotion more specifically. However, there are several facets of the TST model that involve these processes, or are heavily influenced by them. This chapter discusses each of the primary points of intersection between affective processes and constructs within TST.
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Davis, Jeff, and Kristen Damron. Stress and Stress Hormones. Edited by Rosemary L. Hopcroft. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190299323.013.26.

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During the past four decades, numerous reviews have been published on biological responses to stressful social environments. Reviews targeted for audiences in the social sciences emphasized biological outcomes while skipping over explanations of biological mechanisms. This chapter focuses on the details of the hormonal processes that “report” the state of the environment to the nervous system and regulate cognitive and motor responses to stressful social stimuli. Steroid hormones receive most attention. The chapter concludes with an outline of a sociological model of social action based on current knowledge of hormone actions. It shares some of the basic ideas of previous models such as affect control theory. However, the model proposes a broader role of stress hormones in human social behavior.
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Farrar, John T. Understanding clinical trials in palliative care research. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0193.

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Advances in basic science, translational, and clinical research have led to rapid improvements in our understanding of many disease processes. The randomized clinical trial (RCT) has played an important role in validating the benefits and harms of therapies thought to be potentially useful based on scientific theory or clinical observation, and has become the ‘gold standard’ for the demonstration of efficacy. As in all clinical study designs, the RCT has strengths and weaknesses that must be understood to appropriately interpret the study results. While randomization of the intended study population is the primary strength of such trials, choice of the study population, control condition, outcome measures, analysis procedure, and procedures for blinding the study participants can all affect the results. Understanding the requirements of a valid RCT and what can potentially go wrong will improve the conduct of palliative care research and the usefulness of published information in the care of patients.
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Book chapters on the topic "Heise's Affect Control Theory"

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Lively, Kathryn J., and David R. Heise. "Emotions in Affect Control Theory." In Handbook of the Sociology of Emotions: Volume II, 51–75. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9130-4_4.

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Francis, Clare Anne. "Introduction to Affect Control Theory." In Purpose, Meaning, and Action, 139–61. New York: Palgrave Macmillan US, 2006. http://dx.doi.org/10.1007/978-1-137-10809-8_6.

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Lin, Luyuan, Stephen Czarnuch, Aarti Malhotra, Lifei Yu, Tobias Schröder, and Jesse Hoey. "Affectively Aligned Cognitive Assistance Using Bayesian Affect Control Theory." In Ambient Assisted Living and Daily Activities, 279–87. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_41.

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MacKinnon, Neil J., and Michelle M. Goulbourne. "The Affect Control Theory of Emotions: The Case of Depression." In Purpose, Meaning, and Action, 237–66. New York: Palgrave Macmillan US, 2006. http://dx.doi.org/10.1007/978-1-137-10809-8_10.

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Smith-Lovin, Lynn, and Dawn T. Robinson. "Control Theories of Identity, Action, and Emotion: In Search of Testable Differences Between Affect Control Theory and Identity Control Theory." In Purpose, Meaning, and Action, 163–88. New York: Palgrave Macmillan US, 2006. http://dx.doi.org/10.1007/978-1-137-10809-8_7.

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Morgan, Jonathan H., Jun Zhao, Nikolas Zöller, Andrea Sedlacek, Lena Chen, Hayley Piper, Yliana Beck, Kimberly B. Rogers, Jesse Hoey, and Tobias Schröder. "Modeling the Culture of Online Collaborative Groups with Affect Control Theory." In Springer Proceedings in Complexity, 147–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61503-1_14.

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Walrand, Jean. "Route Planning: B." In Probability in Electrical Engineering and Computer Science, 259–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_14.

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AbstractThere is a class of control problems that admit a particularly elegant solution: the linear quadratic Gaussian (LQG) problems. In these problems, the state dynamics and observations are linear, the cost is quadratic, and the noise is Gaussian. Section 14.1 explains the theory of LQG problems when one observes the state. Section 14.2 discusses the situation when the observations are noisy and shows the remarkable certainty equivalence property of the solution. Section 14.3 explains how noisy observations affect Markov decision problems.
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Su, Lijuan, and Svetlana Stepchenkova. "The Impact of Crisis Characteristics and Media Coverage on the Public’s Attitude Toward Tourism Organization Expressed on Sina Weibo." In Information and Communication Technologies in Tourism 2021, 302–7. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_28.

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AbstractTourism and hospitality crises that are extensively discussed online are damaging to organizational image and reputation; therefore, choosing effective response strategies is of paramount importance for service providers. The online discussions data from six hospitality and tourism related crises were used to test which crisis and media coverage characteristics significantly affected the public’s emotional and behavioral reactions to crises. With reference to the attribution theory and the situational crisis communication theory, this study identified the potentially influential crisis characteristics, hypothesized their relationship with variables describing consumer reactions to crises, and then tested those relationships in a series of ANOVA and hierarchical regression analyses. Results indicated that the locus of control, crisis stability, attribution of organizational responsibility, and organizational response strategy affected the public’s cognitive and emotional responses to crises most strongly. The attractiveness and goodwill of media sources also had an effect, as well as the quality and fairness of messages. This study makes a methodological contribution to tourism research by training machine-learning classifiers prior to conducting hypothesis testing. Identifying the most influential factors affecting the public’s response to crises can serve as guidelines for tourism and hospitality organizations in monitoring the spread of online crisis discussions and developing the most appropriate response in order to minimize consumers’ negative emotions that affect online and off-line behavior toward the organization and its brand.
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Heise, David R. "Affect Control Theory." In Analyzing Social Interaction, 1–34. Routledge, 2016. http://dx.doi.org/10.4324/9781315025773-1.

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Smith-Lovin, Lynn. "Affect Control Theory." In Analyzing Social Interaction, 171–92. Routledge, 2016. http://dx.doi.org/10.4324/9781315025773-7.

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Conference papers on the topic "Heise's Affect Control Theory"

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Hoey, Jesse, Tobias Schroder, and Areej Alhothali. "Bayesian Affect Control Theory." In 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2013. http://dx.doi.org/10.1109/acii.2013.34.

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Soleimani, Ahmad, and Ziad Kobti. "A fuzzy computational model for emotion regulation based on Affect Control Theory." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737908.

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Alhothali, Areej, and Jesse Hoey. "Good News or Bad News: Using Affect Control Theory to Analyze Readers' Reaction Towards News Articles." In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1178.

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Costin, Banta Viorel, and Cojocaru Dorian. "Global rollouts - risks and factors that affect ERP solutions in Romania. A case study in the sales and distribution area." In 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2019. http://dx.doi.org/10.1109/icstcc.2019.8885535.

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Zagar, Philipp, and Rudolf Scheidl. "The Connection Between Sliding Mode Analysis and Singular Perturbation Theory for Modeling Fast Hydraulically Fed-Back Switching Valves." In BATH/ASME 2022 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/fpmc2022-89105.

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Abstract In most cases modeling of fast switching valves in hydraulics results in fast and slow subsystems. System equations which incorporate fast and slow dynamics are called stiff systems and one can apply singular perturbation theory to reduce the system order and get handy approximate expressions in a lower-order description. This is not only useful to reduce complexity to numerically solve the system efficiently, but also to understand the system’s key parameters and how they affect the behavior which is of great interest during design phase. In a previous paper the authors published an approach which uses switched systems and sliding modes to get a reduced system description of hydraulically fed-back switching. There, one models a hydraulic valve as either completely open or closed. A partially opened valve is then modelled as a sliding mode which can be interpreted as a pulse-width modulation of a fast switching digital valve. Even though, the resulting sliding mode dynamics approximation does not preserve topological properties of the full system dynamics an advantage of this approach is that the system incorporates the nonlinearities which arise due to end-stops of valves in a very natural way. Therefore, it is capable of describing system dynamics which results from such non-smooth properties. In this paper the authors work out the naturally suggested — even though not obvious — connection between both approaches for reducing systems with hydraulically fed-back switching valves.
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Byl, Katie, and Feodor Tobler. "Bang-Bang Trajectory Plans With Dynamic Balance Constraints: Fast Rotational Reconfigurations for RoboSimian." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6202.

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This paper investigates the problem of rapidly transitioning the pose of a limbed robot while remaining balanced. In particular, we consider motions where rotational accelerations may significantly affect the center of pressure location within a limited base of support. We consider solutions for high-impedance robots with stiff, high-torque actuators that essentially provide accurate, position-control outputs at the joints. We present and compare three methods for generating joint trajectories to achieve fast yet feasible dynamic motions for such systems while maintaining a safety margin for the center of pressure location, toward robust balance. We focus on development of theory and intuition for each method and quantify performance in terms of achievable speed of transition and required joint velocity limits.
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Hongtao, Yuan, Zeng Ji, Chen Gang, Mo Jian, and Zhao Nan. "Study on Weight Control Methods of Single Point Mooring System of FPSO in Deepwater." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41214.

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This paper applies 3D potential theory and non-linear time domain coupled analysis method to analyze motion response of FPSO and dynamic response of mooring line of single mooring system. In addition, respectively to calculate mooring line tension of tension type and composite mooring line type and added buoy in mooring line. There the paper analyze different mooring lines to affect on the weight of single point mooring system of deepwater FPSO. Which expects to provide a theoretical basis for single point mooring system design and weight control.
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Yoo, Je Hong, and Reza Langari. "A Stackelberg Game Theoretic Driver Model for Merging." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3882.

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Merging is one of the important issues in studying roadway traffic. Merging disturbs the mainline of traffic, which reduces the efficiency or capacity of the highway system. In this paper, we have considered the application of a Stackelberg game theory to a driver behavior model in a merging situation. In this model, the so-called payoffs that reflect the drivers’ aggressiveness affect the decision to proceed to merge and whether to accelerate or decelerate in the game theoretic framework. These merging behaviors in turn impact the mainline traffic, which may lead to a variety of influences, such as collisions or reduced roadway throughput. Consequently, this impact depends on the level of aggressiveness of the driver merging in and those in the mainline, which results in both longitudinal and lateral disturbances in the mainline due to their interaction.
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He, Xiang, and Kam K. Leang. "A New Quasi-Steady In-Ground Effect Model for Rotorcraft Unmanned Aerial Vehicles." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9025.

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Abstract This paper introduces a new quasi-steady in-ground effect model for rotorcraft unmanned aerial vehicles to predict the aerodynamic behavior when the vehicle’s rotors approach ground plane. The model assumes that the compression of the outflow due to the presence of ground plane induces a change in the induced velocity that can drastically affect the thrust and power output. The new empirical model describes the change in thrust as a function of the distance to an obstacle for a rotor in hover condition. Using blade element theory and the method of image, the model parameters are described in terms of the rotor pitch angle and solidity. Experiments with off-the-shelf, fixed-pitch propellers and 3D-printed variable pitch propellers are carried out to validate the model. Experimental results suggest good agreement with 9.5% root-mean-square error (RMSE) and 97% p-value of statistic significance.
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Das, R. R. Varun, V. Kalaichelvi, and R. Karthikeyan. "Application of Fuzzy Logic Control Strategy for Temperature Control in Friction Stir Welding." In ASME 2013 Gas Turbine India Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gtindia2013-3790.

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Friction Stir welding is a solid state joining process that utilizes a rotating non-consumable tool to plastically deform and forge together parent metals. Welding can be controlled either by using Force, Temperature and Traverse or Seam Control methods. The presence of numerous parameters and conditional variations in FSW production environment can adversely affect weld quality making extensive automation processes impossible till date. The weld quality of FSW is closely related to the stability of the welding temperature. For such a non-linear complex process conventional control theory is not an appropriate choice. A fuzzy logic controller with a specially chosen triangular membership function has been suggested as an effective alternative approach. The aim of the present work includes dynamic modeling of a friction stir welding process and the use of a suitable Fuzzy tuned Control Strategy for temperature control. The Temperature at stir zone is measured using a K type Thermocouple. It has a sensitivity of 41μV/°C and also a wide variety of probes are available within its −200° C to +1250 °C range. The thermocouple is used by drilling a hole in the shank of the tool and letting it pass through it. The spindle speed is used as an appropriate variable to control temperature variations. The dynamic modeling and simulations were performed using Matlab whereas the variable values were derived during friction stir welding of aluminum.
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