Understanding Human Behavior on Social Networks
The dynamics of human behavior are continuously changing with the advent of technological improvements. Individuals keep on leaving digital traces either deliberately or involuntarily on their communication devices when they connect with others based on shared interests. An analysis of three articles in this study reveals that social networks can be the reason behind risky situations, interruption of normal working processes and alterations in behavior that are undesirable. The study of social networks can aid scientists in discovering changes in human behavior more profoundly. The articles explore user-generated data in mobile networks and the information they have deliberately published (Sagl, Resch, Hawelka, & Beinat, 2012), human behavior and the consequences tied to it (Poppe & Maat, 2014), and different cognitive, social and emotional characteristics that are markers of serial murdering (Angrilli, Sartori, & Donzella, 2013). The screening will be aimed at establishing the frequency with which individuals utilize social media platforms. Study populated will be solicited from three groups: employed workers between 25 and 40 years, and serial killers that are already behind bars. However, race and language factors will not be considered as they cut across the entire humanity. Selection of participants will be done through questionnaires attain gender balance and observations taken by study assistants. The Patria system will be employed in the study as it will capture facial expressions and head movements of the participants (Poppe & Maat, 2014). A makeshift simulation office will be in place to give the feeling of workplace and capture their behavior. The independent variables in the study include the simulation room and the usage of social media sites, and age, while the dependent variable is the duration taken while using social media sites before an individual loses concentration.
- Angrilli, A., Sartori, G., & Donzella, G. (2013). Cognitive, emotional and social markers of serial murdering. The Clinical Neuropsychologist, 27(3), 485-494.
- Poppe, R., & Ter Maat, M. (2014). Observing Human Behaviour to Identify Risk in Task Performance. Proceedings of Measuring Behavior 2014.
- Sagl, G., Resch, B., Hawelka, B., & Beinat, E. (2012). From social sensor data to collective human behaviour patterns: Analysing and visualising spatiotemporal dynamics in urban environments. In Proceedings of the GI-Forum 2012: Geovisualization, Society and Learning (pp. 54-63).