Predictive Emojis for User Cognitive Response to Dynamic Behaviour of Webpages Using Pupil and Click Reinforcement
Predictive Emojis for User Cognitive Response to Dynamic Behaviour of Webpages Using Pupil and Click Reinforcement
Highlights
The consequences of a poor user experience are based on the same principles that affect the user experience of any website
The psychological cognitive concepts will generally allow one to optimise the website for human brain function, increase conversation rate in the long-term, as well as improve user experience in the short term
The first attribute that comes to mind is framing the website and first impressions while the initial question that comes to mind is: How long will it take a website visitor to judge a website by its content and how will the designer automatically access the users’ feedback? Will a single framed model (Fig. 1) integrate user data and emotion to predict the cognition of users online? Given the vast eye movement data and behavioural response that can be generated from a single page view, Refs. [1−4] disclosed that for an average user behaviour, they can make up their mind about a particular site in just a few seconds, which can be subject to intensive investigations
Summary
One of the major topics in achieving a complete user experience in Refs. [5-9] is processing fluency and predictive website for user experience. References [19-22] on attention and effort described problem-solving as a highly limited resource with several things or items, since every added distraction occupies memory or a proportion of the users’ processing faculties. This distraction can cause a change in the cognitive and emotional response of the person. The simplest of algorithms with the most attractive control is very feasible One of these algorithms is the “shortest path algorithm” which can be predicted to reach a certain goal, such as using the shortest possible route that can be made by the eye movement of the users to predict their mood toward the products they viewed online on dynamic webpages as presented in this paper. One of the novel and effective methods employed in this paper is the use of predictive bubble emojis that focus on the moods of the users based on their eye movement patterns, and this process is discussed in the proceeding sections
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