Human Interactive Behavior: A Bibliographic Review

Human-computer interaction for virtual-real fusion

In any field it is important to understand how knowledge is produced and how the production of knowledge affects what is known. Put another way, how have the conclusions drawn from research in textiles, clothing, and human behavior been structured by and affected by the research questions posed, the methods used to collect data, or even the training of its scholars? In this paper we offer a matrix of dimensions as an outline for analyzing research focusing on human behavior as it is related to textiles and clothing. Five broad dimensions are suggested for use in organizing research and in providing insight as to how knowledge in this field has been produced: (a) type of strategy used, (b) time frame, (c) origin of data elicited, (d) technique of data elicitation, and (e) qualitative or quantitative treatment of data. Each dimension is discussed, examples are provided, and related limitations are presented. Given the dimensions presented, we conclude with a discussion of how knowledge is shaped by how it is produced.

L'etude menee aupres des enfants d'un village rural sur la cote orientale de Dominique montre la relation entre le stress et la composition du groupe domestique (âge, sexe, relation intergenerationnelle, nombre de personnes). Les enfants vivant dans des foyers ou prendre soin d'eux est une attitude frequente et stable ont un niveau de cortisol modere contrairement aux enfants connaissant des evenements familiaux traumatiques

The suppression of reproductive function is known to occur in women engaging in activities that require high energetic expenses, such as sport participation and subsistence work. It is still unclear, however, if reproductive suppression is a response to high levels of energy expenditure, or only to the resulting state of negative energy balance. To our knowledge, this study provides the first evidence that work-related energy expenditure alone, without associated negative energy balance, can lead to the suppression of reproductive function in women. We document suppression of ovarian function expressed as lowered salivary progesterone levels in women from an agricultural community who work hard, but remain in neutral energy balance. We propose two alternative evolutionary explanations (the 'pre-emptive ovarian suppression' hypothesis and the 'constrained down-regulation' hypothesis) for the observed results.

Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches

This paper represents Part I of a two-part paper which integrates theory and research in social cognition with research in clothing and human behavior. Part I addresses theoretical perspectives of social cognition including social perception, categorization, attribution theory, and impression formation. Issues from these theoretical perspectives are used to interpret existing clothing and human behavior research and to suggest possible future research.

One of the impacts of global warming is that it occurs due to an imbalance in natural systems and does not occur by itself. Humans, as the bearers of the mandate to care for the earth, are responsible for non-natural changes on earth. This literature review aims to determine the factors that influence changes in human thinking and behavior in responding to climate change as a result of human behavior, taking into account the factors of adherence to local wisdom, leader policies, and religious intervention. Themethod used was the library research approach. This method explores deeply through documents, journals, books, and others. The data in this study were obtained from library materials. This literature study discusses global warming and its causes from the perspectives of natural, social, and religious sciences. First, to preserve the environment and to remember the human mandate to maintain this grace of Allah that needs to be inherited as a culture of clean and healthy living. Second, human behavior is also influenced by social factors. Third, the legality factor from the government and religious fatwas with the issuance of various decrees related to environmental control is certainly a reinforcement. The conclusion is that the global climate change has a pretty serious relationship if we look at it from the perspectives of science, social, and religious ethics.
 Keywords: global warming, natural, religious, social

Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model

The article characterizes the specifics of postmodernism and outlines the peculiarities of its legal reflection in human behavior. It is noted that postmodernism is a philosophical category that defines the moral and mental specificity of the era in general, it appears as a global, all-encompassing reflection on modern realities and changes that have occurred or are occurring in human life, consciousness, and behavior. The main feature of this new culture is concern about the position of the individual in modern society, in which there is a constant improvement of communicative means of legal, intellectual, worldview, and ideological mastery of a person. Postmodernism, on the one hand, rejects modernist legal and social values, and on the other hand, rethinks the legal and social matter of the past, borrowing and adapting previously developed forms.
 It was noted that postmodernism is expressed in the behavior of a person, his responsibility before the law, morals and ethics, the correlation of technical achievements with legal humanism (humanity and ideals of man), the development of a new ecological legal consciousness, the creation of a truly social democracy, which combines the principles of freedom, equality and justice Additional aspects of the postmodern paradigm are expressed in the development of post-materialist legal values, beliefs, norms and stereotypes of behavior. They are embodied in a new attitude to races and classes, to nature, the problem of war and peace, which is formed under the influence of new social movements: ecological, gender, peace movements. Hence, values are not lost, but their reorientation, adaptation to new social realities takes place.

Research on the potential role of gene–environment interactions (GxE) in explaining vulnerability to psychopathology in humans has witnessed a shift from a diathesis-stress perspective to differential susceptibility approaches. This paper critically reviews methodological issues and trends in this body of research. Databases were screened for studies of GxE in the prediction of personality traits, behavior, and mental health disorders in humans published between January 2002 and January 2015. In total, 315 papers were included. Results showed that 34 candidate genes have been included in GxE studies. Independent of the type of environment studied (early or recent life events, positive or negative environments), about 67–83% of studies have reported significant GxE interactions, which is consistent with a social susceptibility model. The percentage of positive results does not seem to differ depending on the gene studied, although publication bias might be involved. However, the number of positive findings differs depending on the population studied (i.e., young adults vs. older adults). Methodological considerations limit the ability to draw strong conclusions, particularly as almost 90% (n = 283/315) of published papers are based on samples from North America and Europe, and about 70% of published studies (219/315) are based on samples that were also used in other reports. At the same time, there are clear indications of methodological improvements over time, as is shown by a significant increase in longitudinal and experimental studies as well as in improved minimum genotyping. Recommendations for future research, such as minimum quality assessment of genes and environmental factors, specifying theoretical models guiding the study, and taking into account of cultural, ethnic, and lifetime perspectives, are formulated.

This project introduces a next-generation multimodal Human Computer Interaction (HCI) system that combines three natural input modalities eye-tracking, voice analysis, and hand gesture recognition to establish an intuitive, seamless, and highly efficient interaction framework between humans and digital systems. The core objective is to address the limitations of traditional input devices such as key boards, mice, and touch screens, particularly in environments where hands-free or contactless interaction is essential. The proposed system leverages a synergistic fusion of advanced technologies supported by machine learning models, including precise eye-tracking mechanisms to monitor gaze and attention, sophisticated voice recognition algorithms to interpret spoken commands, and real-time hand gesture interpretation for expressive and dynamic control. These models are trained to recognize complex patterns in user behaviours, enhancing the system's ability to interpret intent accurately and efficiently. Each modality operates in parallel and contributes uniquely to understanding user input, enabling flexible, adaptive, and reliable interaction with machines. By emulating natural human communication behaviours, the system substantially reduces interaction friction, lowers cognitive load, and enhances usability across diverse user groups. The integration of multiple input channels powered by machine learning also ensures greater accuracy, responsiveness, and robustness, especially under varying environmental and user conditions. This research advances the field of multimodal interaction by presenting a unified, extensible system architecture that supports more natural, inclusive, and intelligent human machine communication. The successful development and implementation of this machine learning based system represent a significant step toward the future of HCI, where machines can interact with users in a manner more closely aligned with human behaviors and intent.

Controversies in the evolutionary social sciences: a guide for the perplexed

The positron emission tomography (PET) imaging technique, which is utilized in human behavior and psychiatric disorder research, was performed on the brains of clinically normal mixed breed dogs, 3 hound-type (long floppy ears) mixed breed dogs and 3 non-hound retriever-type mixed breed dogs. Glucose metabolism was obtained with F-18 fluorodeoxyglucose (FDG), and quantitative analysis was performed by standardized uptake value (SUV) measurement. Magnetic resonance (MR) images were obtained in each dog, and these images were superimposed on PET images to identify anatomical locations. The glucose metabolism in each region of interest was compared between the three hound-type dogs and 3 non-hound-type dogs. The two anatomically different types of dog were compared to assess whether breed-typical behavioral tendencies (e.g., sniffing behavior in hound-type dogs, staring and retrieving in Labrador-type dogs) are reflected in baseline brain metabolic activity. There were no significant differences between the hound-type dogs and non-hound-type dogs in cerebral SUV values. These data might serve as normal canine cerebral metabolism data for FDG PET studies in dogs and form the basis for investigations into behavioral disorders in dogs such as compulsive disorder, anxiety disorders and cognitive dysfunction.

Engineering Analytics (EA) is a multidisciplinary approach that incorporates tools and techniques from fields such as Big Data, Machine Learning (ML), operations research, and statistics to analyze data and extract meaningful insights. Within the field of Industrial Engineering, EA is widely utilized to design, improve, and optimize integrated systems. This study focuses on the application of EA in combination with Virtual Reality (VR) and Electroencephalography (EEG) to explore various aspects of human cognitive performance, including attention, simulation sickness, and verbal-visual ability. By employing EA, VR, and EEG together, this research aims to provide a deeper understanding of how individuals interact within virtual environments and respond to cognitive and physiological challenges. Participants in the study were placed in immersive 3D virtual environments, where both subjective feedback and objective brainwave data were collected to measure their responses. The analysis involved identifying relationships between cognitive performance metrics and physiological signals to gain insights into human behavior and decision-making processes. The integration of EA techniques allowed for the exploration of complex patterns and relationships within the data, offering a comprehensive view of participants' mental states and performance. The study highlights the potential of combining EA, VR, and EEG to advance our understanding of human cognition and behavior in virtual environments. These insights can be applied to improve the design of virtual systems, enhance user experiences, and optimize applications in various fields, such as training, simulation, and education. By bridging cutting-edge technological tools with physiological data, this research demonstrates the value of a multidisciplinary approach to addressing challenges in human-computer interaction and cognitive performance.

The development of computer technology has materialized into the term of human computer interaction. Research studies in human computer interaction studied young age groups that are educated and technically inclined. This paper will study the mental model in Human Computer Interaction that could be useful in some area. There are a number of types of this review paper on the Internet. One will lay out the current approach, result, trends, in the human computer interaction and the other approach will look into research construction that have been around long before but are now forgotten. In this paper, the author is also looking at the landscape in the emotional intelligence of a user so that they are more user like, fidelity prototyping. The development and design of an automated system that performs this task is still being undertaken. The notion of human-computer interaction is conceived as a result of the evolution of the development criteria of computer technology. The next generation of individuals (those at a younger age cohort) in which is termed an educated, technical, or at least knowledgeable individual will also be the focus of individual (tech) research experiments in human-computer interaction. Human-computer interaction (HCI) refers to both technical and human behaving aspects. The central tenets of practical studies in human-computer interaction are to reveal implicit knowledge about human behaviour and human interaction with technology. Resilience is set of behaving contextually taken collectively reacts to challenges. The term resilience has been applied to virtually everything from the economy, real estate, sports, psychology, business, and education, and the list could and can go on. Resilience is mainly comprised or made of a number of different abilities and skills as a way to be able to relate effectively to others, build relationships, self-efficacy, optimism, and self-awareness, creating meaning from other experiences form these are essential combination of competencies. In this manner people should use this in order to optimize the value of the resilience of an organization. This becomes important resourcefulness knowledge of the help available to increasing capacity to deal with the challenges facing change, overcoming (wasting time) relative to everything that could be done alternatively.