User experience deals with how users find and assimilate content through visual aesthetics and how they understand the cognitive processes and nuances most users go through when dealing with certain content. This is important to recent research on human-computer interactions and human factors to architect the ultimate experience. Research on user experience with an emphasis on cognitive psychology should focus on the know-how of how people process information. The cognitive psychology of users is how people process information, how they receive it, and how this information is treated which leads to their responses. The journal is interested in collecting recent research and ideas relating to user behaviour and cognitive process through the qualitative or quantitative method of data collection, using the behaviour data to model the cognitive response of users to visual interfaces through applications of machine learning, deep learning, and simulation of subtle user response. The journal deals with current research in the following fields.
Cognitive psychology
Human-Computer Interaction modeling
Psychophysiological measuring sensors and design tools
Applications of Machine Learning
Applications of Deep Learning and Theory
Human-Robot Interaction
Computer-Aided Design
Big Data Analytics
Data Science and Data Processing
Other related areas of research are also welcome. Submissions are accepted every year.