An Activity Analysis Model for Enhancing User Experiences in Affect Aware Systems

Human users of future smart ubiquitous systems will be immersed in a technology-laden environment; thus, it is important to understand how users interact effectively with these systems. This paper proposes an activity analysis model to study different affective states associated with different user interactions while performing the sentiment analysis of the user. A typical scene in the context of a smart home has been analyzed. The results of the analysis show that this model can be suitably applied by designers to identify and enhance different interface designs for improving user experiences and enhancing human-computer interactions in different contexts.