Human Psychological Behavior Research Articles

Reinventing Anthropological Dimensions for HR Progression: Conceptualizing a Measurement Scale

The unprecedented Covid-19 pandemic ruined the business hemisphere across the globe and thus organizations are on the pathway to restore people, planet and profit. At this intermittent phase, the relevance of anthropological dimensions at work sphere for building an agile and resilient organization that can sustain in both normal and crisis times is quite realistic and pertinent in present environment. The essential objective of the present paper is to identify the prominent domains and related items that may be considered in redesigning work-place anthropological dimensions and to set up structured scale in tune with anthropological traits. The main source of conceptualizing the research scale is formulated from the detailed literature survey involving essential considerations of the paper viz. character strength, human psychological behavior, behavioral implication on business education, mind purification, culture, personality & values. From the literature explicated in the paper, a clear attempt has been made to identify five broad domains and the items considered for the study. The five broad domains identified are Doman A: Character strength, Domain B: Human psychological behavior, Domain C: Behavioral implication on business educations, Domain D: Mind purification on human behavior, Domain E: Ethical dimensions on human behavior. A structured scale in the clear nomenclature of “CPBME” scale has been developed with the potential for future scope of the study. “CPBME” scale implies C-Character, P-Psychology, B-Behavior, M-Mind, and E-Ethics. The study makes a modest attempt to uphold the potential of human anthropological avenues as a revitalizing HR element in the digitalized business hemisphere.

Understanding Female and Male Insights in Psychology: Who Thinks What?

Evolutionary psychology is the study of human psychological behavior. During childhood, men and women behave similarly; however, as a child approaches puberty, new physical and behavioral changes emerge. Behavioral psychology focuses on understanding the functioning and thought processes of the human mind. The general population lacks knowledge of basic behavioral differences between men and women, leaving them unaware of their role, limitations, societal responsibilities, resulting in an underestimation of their own natural talents and biology. Thus, people tend to follow societal norms rather than exploring and utilizing their natural talents. The current review was designed and conducted to enforce compression on behavioral psychology in both genders as well as to identify variations in hormonal activity and sexual preferences.

Flexible non-invasive sensor for neurotransmitter monitoring inspired by AgBiS2/PEDOT:PSS

The neurotransmitter dopamine plays an essential role in determining human psychological behavior, and its abnormality can lead to severe psychological diseases. Therefore, rapid assessment and initial diagnosis are crucial. In this study, a AgBiS2/PEDOT:PSS in the composite material contributes to its improved performance as an electrochemical sensor. The developed AgBiS2/PEDOT:PSS/GCE electrode exhibited a lower impedance (28 Ω) compared to other modified electrodes. It demonstrated a low limit of detection (0.0026 µM), high sensitivity (1.4872 µA µM−1 cm−2), a wide linear range (0.0875–937.5 µM) and good reproducibility and repeatability. Furthermore, the sensor showed exceptional selectivity even in the presence of potential interfering substances such as glucose, ascorbic acid, and uric acid. Satisfactory recovery results were obtained for the detection of dopamine in human fluids, including blood, urine, and saliva.

The Impact of Residential Gated Compounds on Quality of Life in Egypt

Over the last twenty years, gated communities have been growing rapidly in Egypt to present a better living standard to their residents. Accordingly, a lot of Egyptians moved to gated communities to improve their Quality of Life through upgrading their human need satisfaction level. The rapid development of gated residential communities combined with some problems, and gated communities are not preferable to some residents because they are far away from downtown and from most famous neighborhoods in Egypt. Research showed that living in the suburbs has direct and indirect effects on human psychological behavior. It affects people's leisure in addition to the clear classification that has been introduced among the Egyptians according to their address. Nevertheless, gated communities could participate in enhancing residents' security, understanding, spirituality and other human needs. This paper aims at investigating the impact of living in gated communities on middle class residents' Quality of Life by illustrating positive and negative impacts on both residents and non-residents of gated communities in a comparative method. This is achieved through a qualitative methodology that clarifies how Quality of Life for gated community residents has been improved.

WITHDRAWN: Probability learned neural model for human behavior analysis based on language cognition

Abstract Human Behavior modeling and Language Cognition is a significant component in the application domain, like social, behavioral, and healthcare research. However, accurate prediction to understand the human behavior determinant roles and cognitive states helps analyze humans' behaviors as a critical challenge by various conventional methods. Hence in this research, the Probability learned Neural Model (PLNM) had been proposed to address the critical issues related to testing, training, and classify the cognitive states for accurate prediction of roles and rules of the human mind. This conceptual model describes the user's psychological behavior by utilizing activities, action, inter and intra activity behavior, and language modeling. Furthermore, the architecture shows how the probability model enables users to predict the next steps and effectively detect user psychological anomalies. The lab-scale numerical results show that accurate prediction in human psychological behavior and its quality shows the proposed framework's stability.

Fvsoomm a Fuzzy Vectorial Space Model and Method of Personality, Cognitive Dissonance and Emotion in Decision Making

The purpose of this extension of the ESM’2019 conference paper is to propose some means to implement an artificial thinking model that simulates human psychological behavior. The first necessary model is the time fuzzy vector space model (TFVS). Traditional fuzzy logic uses fuzzification/defuzzification, fuzzy rules and implication to assess and combine several significant attributes to make deductions. The originality of TFVS is not to be another fuzzy logic model but rather a fuzzy object-oriented model which implements a dynamic object structural, behavior analogy and which encapsulates time fuzzy vectors in the object components and their attributes. The second model is a fuzzy vector space object oriented model and method (FVSOOMM) that describes how-to realize step by step the appropriate TFVS from the ontology class diagram designed with the Unified Modeling Language (UML). The third contribution concerns the cognitive model (Emotion, Personality, Interactions, Knowledge (Connaissance) and Experience) EPICE the layers of which are necessary to design the features of the artificial thinking model (ATM). The findings are that the TFVS model provides the appropriate time modelling tools to design and implement the layers of the EPICE model and thus the cognitive pyramids of the ATM. In practice, the emotion of cognitive dissonance during buying decisions is proposed and a game addiction application depicts the gamer decision process implementation with TFVS and finite state automata. Future works propose a platform to automate the implementation of TFVS according to the steps of the FVSOOMM method. An application is a case-based reasoning temporal approach based on TFVS and on dynamic distances computing between time resultant vectors in order to assess and compare similar objects’ evolution. The originality of this work is to provide models, tools and a method to design and implement some features of an artificial thinking model.

Application of Theory of Quantum Instruments to Psychology: Combination of Question Order Effect with Response Replicability Effect.

Recently, quantum formalism started to be actively used outside of quantum physics: in psychology, decision-making, economics, finances, and social science. Human psychological behavior is characterized by a few basic effects; one of them is the question order effect (QOE). This effect was successfully modeled (Busemeyer–Wang) by representing questions A and B by Hermitian observables and mental-state transformations (back action of answering) by orthogonal projectors. However, then it was demonstrated that such representation cannot be combined with another psychological effect, known as the response replicability effect (RRE). Later, this no-go result was generalized to representation of questions and state transformations by quantum instruments of the atomic type. In light of these results, the possibility of using quantum formalism in psychology was questioned. In this paper, we show that, nevertheless, the combination of the QOE and RRE can be modeled within quantum formalism, in the framework of theory of non-atomic quantum instruments.

A Linguistic Hierarchy Model with Self-Confidence Preference Relations and Its Application in Co-Regulation of Food Safety in China.

Linguistic preference relations are widely used by decision makers to elicit their preferences over alternatives in the Group Decision Making (GDM) process. Recent studies have shown that self-confidence, as an important human psychological behavior, has an important influence on decision-making results. However, multiple self-confidence levels of decision makers are seldom considered in the linguistic preference relation. Meanwhile many real-word decision-making problems are analyzed in a hierarchical structure, in which a complicated problem can be divided into several easier comprehended sub-problems. Hence, this paper aims at designing a linguistic hierarchy model with self-confidence preference relation (LHM-SCPR) to discuss complex GDM problems in a hierarchical structure. In the SC-LPR, each element contains two components, the first one is the preference value between pairs of alternatives, and the second one that is defined on a linguistic term set represents decision maker’s self-confidence level associated to the first component. Meanwhile, a nonlinear programming model is proposed to derive individual preference vector from SC-LPR. Then, we apply LHM-SCPR in co-regulation of food safety to present the validity of this method, and find that improving the participation skills regarding co-regulation of food safety is the most pressing task. Finally, detailed comparative analysis and discussion are presented to verify the validity of the proposal.

Prospect Theory and Interval-Valued Hesitant Set for Safety Evacuation Model

The study applies the research results of prospect theory and multi attribute decision making theory, combined with the complexity, uncertainty and multifactor influence of the underground mine fire system and takes the decision makers’ psychological behavior of emotion and intuition into full account to establish the intuitionistic fuzzy multiple attribute decision making method that is based on the prospect theory. The model established by this method can explain the decision maker’s safety evacuation decision behavior in the complex system of underground mine fire due to the uncertainty of the environment, imperfection of the information and human psychological behavior and other factors.

Interior Architectural Elements that Affect Human Psychology and Behavior

This research will inspect factors with higher impact that are predicted to be more influential in the relation between architecture, interior architectural design and the psychological status of residents and users. The level of awareness about the importance of this relation is the basic introductory factor. Identity, privacy and safety impacts, health concerns, accessibility degree, open spaces feature, aesthetic sense are the main parts of the research. Most parts consist of two divisions. The first identifies the nature of each factor. The second recognizes the important architectural consideration needed to realize the psychological condition of residents and users. The research aims to increase the concern about the importance of the interaction between interior architectural design and human psychological behavior. An introduction of a group of important consideration can be used to help designers choose and apply a suitable interior architectural design that match psychological needs through sound relations between architecture, interior architecture and the psychological status of residents and users.

Prospect Pricing in Cognitive Radio Networks

Advances in cognitive radio networks have primarily focused on the design of spectrally agile radios and novel spectrum sharing techniques that are founded on Expected Utility Theory (EUT). In this paper, we consider the development of novel spectrum sharing algorithms in such networks taking into account human psychological behavior of the end-users, which often deviates from EUT. Specifically, we consider the impact of end-user decision making on pricing and management of radio resources in a cognitive radio enabled network when there is uncertainty in the Quality of Service (QoS) guarantees offered by the Service Provider (SP). Using Prospect Theory (a Nobel-Prize-winning behavioral economic theory that captures human decision making and its deviation from EUT), we design data pricing and channel allocation algorithms for use in cognitive radio networks by formulating a game theoretic analysis of the interplay between the price offerings, bandwidth allocation by the SP and the service choices made by end-users. We show that, when the end-users under-weight the service guarantee, they tend to reject the offer which results in under-utilization of radio resources and revenue loss. We propose prospect pricing, a pricing mechanism that can make the system robust to decision making and improve radio resource management. We present analytical results as well as preliminary human subject studies with video QoS.

Increasing Learner's Level of Motivation in Mathematics Education Through the Use of Uncompleted Situations

One of the important methods of creating positive motivation for students throughout the educational is the application of a methodology called uncompleted” situations. Usage of this technique have roots in human psychological behavior, according to Zeigarnik’s effect, human remembers actions much better if they are incomplete, i.e. they were not resolved in a natural logical way. Such situations are recalled by our memory in similar circumstances. This research work highlights and gives complete mathematical examples of typology of incomplete assigned tasks, which have different motivational potential. This paper places emphasis on the question pertaining to the moment of interruption during the execution of a define task. In common cases, this problem is solved by the teacher during the of searching for a solution to the given task, or in of proving a theorem. During the discussion about possible solutions the teacher tracks the thought process of his students, which directly react on formed situations and at the same time simultaneously open up to the subjective substance of it dynamically perception and conceptualization. In the past it was revealed that there are definitive differences in the effect of uncompleted” situations appearance amongst children, and it was established that effects are varied based on individual abilities and age.

Bernini and the Birth of Baroque Portrait Sculpture ed. by Andrea Bacchi, Catherine Hess, Jennifer Montagu (review)

REVIEWS 267 terpretations of events in no way displaced the possibility of a supernatural interpretation of matters. Indeed in the case of Macrobius’s inhabitable lands, the failure of the world to obey accepted natural theories lent credibility to the belief of God’s divine intervention in the universe. Thus naturalized readings of the physical world could at times overlap with, or become displaced by, supernatural ones. Bartlett next considers two creatures believed to have existed in the Middle Ages, but whose reality would likely be questioned by modern men and women (108). The first is the Dog-head, a fanciful being composed of a man’s body and a dog’s head. The second is the Stringae, or nocturnal, blood-sucking women who lived unnoticed among human communities. Bartlett presents this chapter as a perplexing lesson of the compelling, but uneven role of natural reasoning among European communities. For as belief in the dog-heads gave way to skepticism when travelers, such as John de Marignollis, found no trace such beings in the East, belief in the stringae continued, likely laying the foundation for the great witch-hunts of the Early Modern Period. Few embodied these same ironies and tensions more that the career and thought of the famous thirteenth-century English Franciscan Friar Roger Bacon (111). Although a theologian, Bacon wrote widely on natural subjects. At times he seemed to view the world in strictly naturalistic terms. He was an early proponent of the view that all things in the universe emitted radiation, which largely determined the course of daily life. For example, he believed that human psychological behavior was to some extent bound up with the emission of these rays by stars and their effects upon the bodies of men and women (120). He also signaled the importance of scientific instruments and experimentation, which he believed could benefit the Christian commonwealth. However, Bacon requested financial backing for his scientific labors in order to equip Christians to fight the Antichrist, who Bacon portrayed as also employing the “potency of science” (129). Indeed some of Bacon beliefs, suggests Bartlett, strike the reader as magical. This collection of lectures does not present any easy answers or algorithms for discerning why medieval people at times employed a natural interpretive framework and at others a supernatural one for their lives. Bartlett is content to merely present these contradictory examples as a way of sketching out the complexly of the premodern world. One thing is certain though, simple assumptions that medieval Christians were necessarily threatened or anxious about the natural world will no longer do. The reality is something much more complicated and messy. The lack of a tidy conclusion as to why medieval people did what they did or thought what they thought is in no way a weakness in this book. Indeed, we might, in the spirit of Kuhn, say that discomfort over the open-endedness of the natural and supernatural in the Middle Ages itself signals a modern intellectual shift in the making. ANDREW FOGLEMAN, History, University of Southern California Bernini and the Birth of Baroque Portrait Sculpture, ed. Andrea Bacchi, Catherine Hess, and Jennifer Montagu (Los Angeles: Getty Publications 2008) 336 pages, 155 color and 114 b/w ill. The landmark exhibition Bernini and the Birth of Baroque Portrait Sculpture, REVIEWS 268 organized by and exhibited at the J. Paul Getty Museum of Art and the National Gallery of Canada, Ottawa in 2008–2009, was not only the first significant exhibition of Gian Lorenzo Bernini's work in North America, but was also the first ever to display his sculptural portraits in a comprehensive manner. With painstaking attention to detail, and in no small part thanks to the significant number of works loaned for this exhibition—including over thirty sculptures in various media, as well as paintings and drawings—the exhibition revealed the indelible mark that the prolific sculptor made on Baroque portrait sculpture in seventeenth-century Rome, while providing an illuminating look at the development of his personal style in that genre. The catalogue of the same name, edited by Andrea Bacchi, Catherine Hess, and Jennifer Montagu, is an equally significant achievement in Bernini studies as the first...

The Role of Computational Models in Investigating Typical and Pathological Behaviors

The use of computational models to simulate unimpaired human psychological behavior is now fairly common, and use of such models to simulate impaired behavior has also increased. In this article I discuss the relation of computational models to behavioral investigation and to theory, with a view to clarifying what a computational model is, and what its value may be in investigating unimpaired and pathological human psychological behavior.

建築計画におけるオートマトンモデル : 人間の心理状態をとり入れた行動予測モデルの提案

The purpose of this paper is to introduce a new mathematical theory, Automata, which is very inflluential for architectural or urban planners, and to explain some examples of simulation in which Automata theory is applied to Man-Space system. In our past studies, we have solved the problem of Man-Space system by quantifying the human flow and distribution (stock). Now, we introduce the idea of Automaton which can express the human psychological behavior in architectural space and we can describe Man-Space system by three conceptions "flow", "stock", "state". The outline of this paper are as follows, (i) Introduction of the idea of Automaton (ii) Method of the application to architectural planning (iii) Examples of the simulation with Automaton model