Emoji Cognitive Equivalence: Bridging User Mood and Static Webpage Content through Custom Sentiment Analysis
Fatima Isiaka
Ken E Ehimwenma
Sopha Al Sharji
Abstract
Understanding user behaviour and emotions is crucial for enhancing user experience and engagement in the ever-evolving digital landscape. Emoji cognitive equivalence is a novel concept that can help achieve this goal by associating user mood with static content on a webpage. In this article, we will explore the concept of emoji cognitive equivalence, its benefits, and how it can be implemented to improve webpage interaction. The
core concept of the paper is to establish “emoji cognitive equivalence.” That is finding a reliable link between the emojis database, our real-time emotional states, and our engagement with specific webpage content. The effect provides a reasonable website subtly adapting its tone, imagery, or layout based on how you’re feeling – a personalized experience beyond simply remembering your preferences. Results show that though the synchronous effect of the emoji database to the predicted response results in an accuracy of 80% to the fixation coordinates of the predicted gaze points, future analysis can authenticate its accuracy by testing with
other machine learning algorithms to conclude it’s potentiality.
Keywords: Cognitive equivalence, Static Webpage, Custom Sentiment, Emoji cognitive, Emotionally intelligent, Eye movement behaviour
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