Human Behaviour Interpretation and Transformation with Data Science

Abstract

Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be inferred from constructs which in turn are measured by multiple factors or variables.

In this paper various dimensions for measurement of human behavior have been analysed. Subsequently discussion has been done on data analysis. Finally Framework for the same has been proposed.

I emphasize the use of baseline data for each subject as degree of expressiveness for same situation varies for each subject and needs to be measured based on the individual trait of the subject. This can be done by making baseline data for subjects being researched.

Keywords: Human Behaviour Analysis, Data Science, ABC Model of Attitude, Framework, XML