Abstract
Psychologists seek to measure personality to analyze the human behavior through a number of methods, which are self-enhancing (humor use to enhance self), affiliative (humor use to enhance the relationship with other), aggressive (humor use to enhance the self at the expense of others), self-defeating (the humor use to enhance relationships at the expense of self). The purpose of this chapter is to enlighten the use of personality detection test in academics, job placement, group-interaction, and self-reflection. This chapter provides the use of multimedia and IoT to detect the personality and to analyze the different human behaviors. It also includes the concept of big data for the storage and processing the data that will be generated while analyzing the personality through IoT. Linear regression and multiple linear regression are proved to be the best, so they can be used to implement the prediction of personality of individuals. Decision tree regression model has achieved minimum accuracy in comparison to others.
TopBig Data And Iot
Big data is the collection of data set which is being generated at tremendous rate around the world. These data can be structured or unstructured. These data are so large and complex that it is difficult to process them by using traditional data processing application. So, to overcome the processing and storage difficulty of big data, an open source Hadoop is introduced.
Hadoop is an open source distributed processing Framework that is used to store tremendous amount of data i.e. big data and also for their processing. Big Data has different characteristics which are defined using 4 Vs (Figure 1). Young, G., Mapping mayhem (2003), Rossmo, D. K.(1999), Mairesse, F., & Walker, M. (2006).
Internet of Things (abbreviated as IOT) is a system or network which connects all physical objects to the internet through routers or network devices to collect and share the data without manual intervention.
(Goldberg, L. R.(2007), Polzehl, T., Möller, S., et al. (2010 december), Ivanov, A. V., Riccardi, G., et al. (2011)) have found that IOT provides a common platform and language for all physical devices to dumb their data and to communicate with each other. Data emitted from various sensors are securely provided to IOT platform and is integrated. Now necessary and valuable information is extracted. Finally, results are shared with other devices to improve the efficiency and for better user experience automation.
Key Terms in this Chapter
Regression: A technique for determining the statistical relationship between two or more variables where a change in a dependent variable is associated with, and depends on, a change in one or more independent variables.
Decision Tree: Is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
Machine Learning: Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.