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

With fresh development in the area of artificial intelligence and machine learning, the analysis of human physiological and psychological behavior has received greater attention around the world. In this paper, we have provided a detailed survey of the approaches used for human behavior detection considering different modalities with physiological behavior, psychological behavior, and emotion detection with the help of sensors EEG, ECG, GSR, and temperature. At long last, it finishes up with the results of this study and represents the thoughts for future exploration in the zone of human behavior understanding. A rundown and comparison among the ongoing investigations is done that uncovers the currently existing issues. In addition, future work has been examined.

Human behavior is often affected by sudden emergency directly or indirectly. In this paper, we focus on two groups of people under different types of medical emergency calls. Based on the quantitative analysis of calling volume and call interval distribution before and after the emergency call, we find that during most types of emergencies, calling volume will increase after the emergency call made and maintain a high level in the next several hours. Medical emergency makes influence on call volumes, but not affects power-law distribution in human communication behavior. From studying entropy of call detail records, we found that during the medical emergency, the richness of outgoing call numbers increases and falls after that. In this paper, we do quantitative analysis of temporal patterns of medical emergency call based on the combination of medical emergency call data and call detail record data, which not only study on the characteristics of human communication behavior in emergency situations, but also provide data basis for scientific rational allocation of aid resources and effective emergency measures.

In this paper I review some theoretical exchanges and empiricalresults from recent work on human behavior and cognition in thehope of indicating some productive avenues for critical engagement.I focus particular attention on methodological debates between Evolutionary Psychologists and behavioral ecologists. I argue for a broader and more encompassing approach to the evolutionarily based study of human behavior and cognition than either of these two rivals present.

Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding

This study is an example of a neighborhood scheme that much has been altered in appearance after its initial construction due to the lack of building regulations. The residents changed, added and altered its architectural characteristics without paying much attention to other social and behavioral factors. Our case study presents an empirical study of human spatial behavior in Prince Rashed Housing scheme located in Amman, the capital of Jordan, where the concept of neighborhood in its original design, is not followed at all. It is similar to many other modern housing schemes in Amman and throughout Jordan, where the concept of neighborhood is neglected and changes in its architectural appearance after building it took place. This is reflected directly in wayfinding and human behavior in neighborhoods. This research is going to assess the quality of the housing scheme through studying human behavior and how people orient themselves inside large-scale schemes. This study covers a range of development concerns such as people's cognitive mapping of the built environment used in wayfinding and the people's behavior and social interaction. The spatial layout and perception of the housing scheme is also studied. Research methods incorporate a variety of interactive methodologies, such as visual analysis of the spatial ability of the area within the housing scheme, and utilize a survey to both the residents and non-residents of the housing. Observational categories include information on users' different age groups and environment. Finally a study to the signage system and landmarks inside Prince Rashed housing is examined side-by-side to the studies of navigation system and the experience of maneuvering. The results emphasize the importance of the spatial organization of the setting, the circulation system or paths, the architecture, and the signage system in wayfinding. The complex interaction of physical environment and social behavior is also stressed. A number of recommendations are suggested at the end to improve the spatial environment and to help people find their way inside this housing scheme.

For centuries, the study of human behaviour has been distinct from the study of the natural world. Because of the complexity of the brain and our historic lack of understanding of its operations, social science has not focused on the brain, but instead attempted to study that which can be analysed: behaviour itself (Goodenough 2001). For example, Sigmund Freud first began his study of human behaviour with physiological mechanisms but ended this research because the basic science had not yet advanced sufficiently to directly aid him in the understanding of behaviour (Gazzaniga et al. 2002). Arguably, his approach to human behaviour ended up deriving more from philosophies of Hegel and Schopenauer than from neuroscientists such as Golgi and Cajal (Jones 1961; Ledoux 2002).

This book explores the behavioral perspectives of management in day to day life of an individual as well as decision makers. This book tries to relate behavioral factors in the purview of human resource, consumer behavior, investment and finance as well as organizational behavior as a whole. The chapter on behavioral study of human resource is the framework for supporting personnel to increase their non-public and organizational competencies, expertise and abilities specialty of converting or enhancing the understanding, capabilities, and attitudes of people. While the chapter on consumer behavior is complicated and dynamic approaches of determining what product to shop for, when to shop for, how to shop for, from wherein to shop for, a way to secure, a way to use, or a way to dispose to meet individuals, groups, or organization’s desires. The chapter on behavioral finance is to study and define the relationship of identified determinants with investment pattern and to explore the relationship of psychological factors influencing the investment decision makings with the returns through investments. The chapter on organizational behavior is the study of human behavior in the place of work, the relations between people and the organization with the aim to know and forecast human behavior. The accepting of person, group, and organizational behavior is important to accomplishment as a leader or an admirer, and it necessitate a methodical lesson to even begin to grasp all of the variables that impact behavior.

Health and human behavior: areas of interest common to the social and medical sciences.

Recent technological advances have enabled the continuous and unobtrusive monitoring of human behaviour. However, most of the existing studies focus on detecting human behaviour under the limitation of one behavioural aspect, such as physical behaviour and not addressing human behaviour in a broad sense. For this reason, we propose a novel framework that will serve as the principal generator of knowledge on the user’s behaviour. The proposed framework moves beyond the current trends in automatic behaviour analysis by detecting and inferring human behaviour automatically, based on multimodal sensor data. In particular, the framework analyses human behaviour in a holistic approach, focusing on different behavioural aspects at the same time; namely physical, social, emotional and cognitive behaviour. Furthermore, the suggested framework investigates user’s behaviour over different periods, introducing the concept of short-term and long-term behaviours and how these change over time.

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

Social media contain rich information that can be used to help understand human mind and behavior. Social media data, however, are mostly unstructured (e.g., text and image) and a large number of features may be needed to represent them (e.g., we may need millions of unigrams to represent social media texts). Moreover, accurately assessing human behavior is often difficult (e.g., assessing addiction may require medical diagnosis). As a result, the ground truth data needed to train a supervised human behavior model are often difficult to obtain at a large scale. To avoid overfitting, many state-of-the-art behavior models employ sophisticated unsupervised or self-supervised machine learning methods to leverage a large amount of unsupervised data for both feature learning and dimension reduction. Unfortunately, despite their high performance, these advanced machine learning models often rely on latent features that are hard to explain. Since understanding the knowledge captured in these models is important to behavior scientists and public health providers, we explore new methods to build machine learning models that are not only accurate but also interpretable. We evaluate the effectiveness of the proposed methods in predicting Substance Use Disorders (SUD). We believe the methods we proposed are general and applicable to a wide range of data-driven human trait and behavior analysis applications.

Nowadays, the development of modern technologies in the transportation area has increased rapidly. The latest technology is focused on autonomous vehicles. The most important aspect in autonomous vehicle control systems is safety, smooth operation and comfort. It can be provided by the natural element which is from human behavior as a reference to the autonomous control system. This paper is briefly describing the human behavior during braking for autonomous electric vehicle (AEV) control system development. To obtain the human behaviour during accelerating and braking, two units of angle sensors were installed to the accelerator and brake pedal of an electric car to measure the angle of both pedals. Real-time speed is recorded by using a GPS unit. The experiment is focused on braking characteristic of the electric vehicle. It was carried out based on four different distances with fixed initial speed before braking action was recorded. A software interface was designed to display and control real-time speed and pedal angle value during operation.

Ultimate proximate explanation: Explanatory modes in sociobiology and the social sciences

Chapter 11 - Complex conversational scene analysis using wearable sensors

This paper presents the foundations for the analysis and modeling of human guidance behavior that is based on the emergent patterns in the closed-loop agent-environment dynamics. The central hypothesis is that these patterns, which can be explained in terms of invariants inherent to the closed-loop dynamics, provide the building blocks for the organization of human guidance behavior. The concept of interaction patterns is first introduced using a toy example and then detailed formally using dynamical system and control principles. This paper then demonstrates the existence and significance of interaction patterns in human guidance behavior that is based on data collected using guidance experiments with a miniature helicopter. The results confirm that human guidance behavior indeed exhibits invariances as defined by interaction patterns. The trajectories that are associated with each interaction pattern are then further decomposed by applying piecewise linear identification. The resulting elements are then combined under a hierarchical model that provides a natural and formal description of human guidance behavior.