Enhancing User Engagement in E-commerce through Dynamic Animations
Waaridh Borpujari
TL;DR
This paper investigates dynamic price-drop animations as a means to boost user engagement in e-commerce while guarding against cognitive overload. It grounds the approach in theories such as the Aesthetic-Usability Effect, Cognitive-Load Theory, and the Peak-End Rule, proposing a conceptual model and practical implementation guidelines for homepage and search-results pages. The authors advocate selective deployment, non-intrusive design, and inclusivity to accommodate diverse users, with explicit hypotheses on engagement, perceived speed, and cognitive demand. While the framework offers a coherent design philosophy and possible benefits for sales, it remains theoretical and calls for large-scale empirical validation and AI-driven personalization to optimize animation timing and targeting.
Abstract
The use of animation to gain user attention has been increasing, supported by various studies on user behavior and psychology. However, excessive use of animation in interfaces can negatively impact the user. This paper deals with a specific type of animation within a specialized domain of e-commerce. Drawing upon theories such as the Zeigarnik Effect, Aesthetic-Usability effect, Peak-End rule, and Hick's law, we analyze user behavior and psychology when exposed to a dynamic price-drop animation. Unlike conventional static pricing strategy, this animation introduces movement to signify price reduction. In our theoretical study approach, we evaluate and present a user study on how such an animation influences user perception, psychology, and attention. If acquired effectively, dynamic animations can enhance engagement, spark anticipation, and subconsciously create a positive experience by reducing cognitive load.