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Purpose – This paper proposes a new procedure for measuring affective responses during social interaction using facial thermographic imaging.

Methodology – We first describe the results of several small pilot experiments designed to develop and refine this new measure that reveal some of the methodological advantages and challenges offered by this measurement approach. We then demonstrate the potential utility of this measure using data from a laboratory experiment (N=114) in which we used performance feedback to manipulate identity deflection and measured several types of affective responses – including self-impressions and emotions.

Findings – We find warming of the brow (near the corrugator muscle) and cheek (near the zygomatic major muscle) related most strongly to emotion valence and self-potency, with those whose brows and cheeks warmed the most feeling less positive emotion and less potent self-impressions. Warming in the eye area (near the orbicularis oculi) related most closely to undirected identity deflection and to positive self-sentiments. Positive self-views and strong identity disruptions both contributed to warming of the eyes.

Implications – The rigor of contemporary sociological theories of emotion exceeds our current ability to empirically test these theories. Facial thermographic imaging may offer sociologists new assessments of affect and emotion that are ecologically valid, socially unreactive, temporally sensitive, and accurate. This could dramatically improve our ability to test and develop affect based theories of social interaction.

In this chapter, drone and vision camera technology have been combined for monitoring the crop product quality. Three vegetable crops such as tomato, cauliflower, and eggplant are considered for quality monitoring; hence, image datasets are collected for those vegetables only. The proposed method classified the vegetables into two classes as rotten and nonrotten products so the images were collected for rotten and nonrotten products. Three different features information such as chromatic features, contour features, and texture features have been extracted from the dataset and further used to train a Gaussian kernel support vector machine algorithm for identifying the product quality. The system utilized multiple features such as chromatic, contour, and texture features in classifier training which enhances the accuracy and robustness of the system. Chromatic features were utilized for detecting the crop while other features such as contour and texture features were utilized for further classifier building to identify the crop product quality. The performance of the system is evaluated based on the true positive rate, false discovery rate, positive predictive value, and accuracy. The proposed system identified good and bad products with a 97.9% of true positive rate, 2.43 % of false discovery rate, 97.73% positive predictive value, and 95.4% of accuracy. The achieved results concluded that the results are lucrative and the proposed system is efficient in agriculture product quality monitoring.

This volume begins with two chapters that draw on evolutionary sociology to advance our understanding of interpersonal processes and their role in social organization. In “The Biology and Neurology of Group Processes,” Jonathan H. Turner and Alexandra Maryanski draw on three areas of evolutionary sociology (cladistic analysis, comparative neuroanatomy, and ecological analysis) to show how understanding the selection pressures acting on the brain over millions of years can help us get a better grasp on the biologically based capacities and propensities that are involved in group processes such as role-taking and role-making. An improved understanding of these processes means better explanations of how humans create, sustain, and change social structures and culture – topics that lie at the core of sociological inquiry. At the same time, Turner and Maryanski's chapter will give sociologists much to think about and debate, as one of the main conclusions of their argument is that neurology explains human capacities to develop non-kin groups more than culture. The next chapter entitled “Sacrifice, Gratitude, and Obligation: Serial Reciprocity in Early Christianity,” by Richard Machalek and Michael W. Martin, may be seen as giving more equal explanatory weight to culture and biology in a theoretical analysis that combines a focus on cognitive processes (historically unique meanings and ideas) with evolutionary sociological insights about emotions in order to generate better explanations of complex socio-historical developments. Specifically, Machalek and Martin extend Rodney Stark's analysis of how ideas contributed to the rise of Christianity by showing how the evolved features of human emotionality related to “paying it forward” (or serial reciprocity in more formal terms) may have also played an important role in this historical process. Both chapters provide excellent examples of the value of combining multiple theoretical perspectives and paying attention to the interplay of social and biological forces.

To provide a comprehensive review of theoretical and research advances in affect control theory from 1988 to 2013 for academic and student researchers in social psychology.

Against the background of a concise history of affect control theory from its beginnings in the 1960s to its maturation in the late 1980s, a comprehensive review of research and publications in the last 25 years is reported in five sections: Theoretical Advances (e.g., self and institutions, nonverbal behavior, neuroscience, artificial intelligence); Technological Advances (e.g., electronic data collection, computer simulations, cultural surveys, equation refinement, small groups analysis); Cross-Cultural Research (archived data and published analyses); Empirical Tests of the Theory; and Substantive Applications (e.g., emotions, social and cultural change, occupations/work, politics, gender/ideology/subcultures, deviance, criminology, stereotyping, physiological behavior).

Reveals an impressive number of publications in this area, including over 120 articles and chapters and four major books, and a great deal of cross-cultural research, including European, Asian, and Middle-Asian cultures.

Because of limitations of space, the review does not cover the large number of theses, dissertations, and research reports.

No other review of affect control theory with this scope and detail exists.

This chapter provides an overview of the Department of Defense (DoD) laboratory structure to help equipment designers, modelers, and manufacturers determine where research, testing programs, or relevant findings can be found. The chapter includes a discussion of the performance measures and metrics typically used in DoD laboratories and concludes by considering the current state-of-the-art as well as the state-of-the-possible for human performance measurement.