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Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli

The study examines the important of graceful element in a design e-commerce website. Graceful interaction is new concept in the human computer interaction (HCI) disciplines and it can improve the user computer engagement. This research aims to examine graceful element in e-commerce using eye trackin...

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Main Author: Zulkefli, Noor Atiqah
Format: Thesis
Language:English
Published: 2014
Online Access:https://ir.uitm.edu.my/id/eprint/64432/1/64432.PDF
https://ir.uitm.edu.my/id/eprint/64432/
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spelling my.uitm.ir.644322023-09-05T00:30:17Z https://ir.uitm.edu.my/id/eprint/64432/ Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli Zulkefli, Noor Atiqah The study examines the important of graceful element in a design e-commerce website. Graceful interaction is new concept in the human computer interaction (HCI) disciplines and it can improve the user computer engagement. This research aims to examine graceful element in e-commerce using eye tracking analysis. Whereby, the eye tracking can produce accurate data about the graceful interaction. This study adopts experimental method and use questionnaire, interview and eye tracker for data collection. The finding shows the user preference in the three combinations graceful elements which is Fast Order Up/Down. The result from eye tracking analysis shows the design e-commerce website through user experience preference. This study provides empirical findings to justify the importance of graceful interaction and better understanding about the graceful interaction in the design element. 2014 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/64432/1/64432.PDF Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli. (2014) Masters thesis, thesis, Universiti Teknologi Mara (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description The study examines the important of graceful element in a design e-commerce website. Graceful interaction is new concept in the human computer interaction (HCI) disciplines and it can improve the user computer engagement. This research aims to examine graceful element in e-commerce using eye tracking analysis. Whereby, the eye tracking can produce accurate data about the graceful interaction. This study adopts experimental method and use questionnaire, interview and eye tracker for data collection. The finding shows the user preference in the three combinations graceful elements which is Fast Order Up/Down. The result from eye tracking analysis shows the design e-commerce website through user experience preference. This study provides empirical findings to justify the importance of graceful interaction and better understanding about the graceful interaction in the design element.
format Thesis
author Zulkefli, Noor Atiqah
spellingShingle Zulkefli, Noor Atiqah
Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli
author_facet Zulkefli, Noor Atiqah
author_sort Zulkefli, Noor Atiqah
title Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli
title_short Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli
title_full Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli
title_fullStr Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli
title_full_unstemmed Using eye tracking analysis to examine graceful element in e-commerce / Noor Atiqah Zulkefli
title_sort using eye tracking analysis to examine graceful element in e-commerce / noor atiqah zulkefli
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/64432/1/64432.PDF
https://ir.uitm.edu.my/id/eprint/64432/
_version_ 1776250541379158016
score 13.211869

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