User Interaction Analysis through Contrasting Websites Experience

TL;DR

This paper quantitatively analyzes user interactions on websites by combining user perceptions, eye-tracking, and facial expressions, revealing significant differences across website types and their relation to perceived emotions.

Contribution

It introduces a novel quantitative approach to evaluate website usability by integrating subjective perceptions with biometric data during user interactions.

Findings

User interaction parameters differ significantly across website sets.

There is a notable correlation between interaction parameters and perceived user emotions.

Biometric data can effectively complement subjective usability assessments.

Abstract

Current advance of internet allows rapid dissemination of information, accelerating the progress on wide spectrum of society. This has been done mainly through the use of website interface with inherent unique human interactions. In this regards the usability analysis becomes a central part to improve the human interactions. However, This analysis has not yet quantitatively been evaluated through user perception during interaction, especially when dealing wide range of tasks. In this study, we perform the quantitative analysis the usability of websites based on their usage and relevance. We do this by reporting user interactions based user subjective perceptions, eye-tracking data and facial expressions based on the collected data from two different sets of websites. In general, we found that the user interaction parameters are substantially difference across website sets, with a degree of relation with perceived user emotions during interactions.