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How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data

This study examines how quickly we can predict users’ ratings on visual aesthetics in terms of simplicity, diversity, colorfulness, craftsmanship. To predict users’ ratings, first we capture gaze behavior while looking at high, neutral, and low visually appealing websites, followed by a survey regar...

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Bibliografiske detaljer
Udgivet i:Responsible Design, Implementation and Use of Information and Communication Technology
Main Authors: Pappas, Ilias O., Sharma, Kshitij, Mikalef, Patrick, Giannakos, Michail N.
Format: Artigo
Sprog:Inglês
Udgivet: 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7134250/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-45002-1_37
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