RESUMEN
A person's behavior significantly influences their health and well-being. It also contributes to the social environment in which humans interact, with cascading impacts to the health and behaviors of others. During social interactions, our understanding and awareness of vital nonverbal messages expressing beliefs, emotions, and intentions can be obstructed by a variety of factors including greatly flawed self-awareness. For these reasons, human behavior is a very important topic to study using the most advanced technology. Moreover, technology offers a breakthrough opportunity to improve people's social awareness and self-awareness through machine-enhanced recognition and interpretation of human behaviors. This paper reviews (1) the social psychology theories that have established the framework to study human behaviors and their manifestations during social interactions and (2) the technologies that have contributed to the monitoring of human behaviors. State-of-the-art in sensors, signal features, and computational models are categorized, summarized, and evaluated from a comprehensive transdisciplinary perspective. This review focuses on assessing technologies most suitable for real-time monitoring while highlighting their challenges and opportunities in near-future applications. Although social behavior monitoring has been highly reported in psychology and engineering literature, this paper uniquely aims to serve as a disciplinary convergence bridge and a guide for engineers capable of bringing new technologies to bear against the current challenges in real-time human behavior monitoring.
Asunto(s)
Tecnología , Emociones , Humanos , Intención , Monitoreo FisiológicoRESUMEN
Felt accountability, conceptualized as a workplace stressor, has been gaining increased attention in terms of its importance for explaining variance in work attitudes and behaviors. Building on these investigations, the present research tests in 2 studies a conceptualization that positions job autonomy as a moderator of the relationships between felt accountability and strain reactions. In Study 1, the interactions of Felt Accountability x Job Autonomy on job tension and job satisfaction were investigated. As hypothesized, the results demonstrated that autonomy neutralized the dysfunctional effects of accountability for each outcome. Study 2 extended the findings from Study 1 by replicating the form of the interactive effects, with job satisfaction and emotional exhaustion serving as strain reactions. Implications, strengths and limitations, and suggestions for future research are discussed.