Computational visualization of customer mood using affective space model approach

Customers' mood information is acquired to facilitate marketers' understanding in order to tailor the marketing strategies for positive outcomes optimization. Mood can be reasonably hypothesized as one of the factor that influences customers' decision in buying the products or servi...

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Main Authors:	Kamaruddin, Norhaslinda, Handayani, Dini Oktarina Dwi, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English English
Published:	IOS Press 2017
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/63005/ http://irep.iium.edu.my/63005/ http://irep.iium.edu.my/63005/ http://irep.iium.edu.my/63005/13/63005-Computational%20visualization%20of%20customer%20mood%20using%20afective%20space%20model%20approach.pdf http://irep.iium.edu.my/63005/2/63005%20Computational%20Visualization%20of%20Customer%20Mood%20Using%20Affective%20%20SCOPUS.pdf

id	iium-63005
recordtype	eprints
spelling	iium-630052018-07-27T07:48:13Z http://irep.iium.edu.my/63005/ Computational visualization of customer mood using affective space model approach Kamaruddin, Norhaslinda Handayani, Dini Oktarina Dwi Abdul Rahman, Abdul Wahab T Technology (General) Customers' mood information is acquired to facilitate marketers' understanding in order to tailor the marketing strategies for positive outcomes optimization. Mood can be reasonably hypothesized as one of the factor that influences customers' decision in buying the products or services offered. There have been many researchers reporting the correlation between moods and buying decision. However, to date, there is no such method that can exactlyquantify the customer's mood. Typically, a questionnaire is given to the participant to gauge their mood on the focused product or services. The drawback from such approach is that participants can fake, exaggerate or suppress their mood resulting to questionable inference. Hence, a new method of data acquisition is needed to be able to visualize the dynamics of the customers' mood for more accurate analysis. In this paper, the customer brain signal is captured using electroencephalogram (EEG) to track and record brain wave patterns in regard to their emotional states. The sequence of emotion is then used to identify their mood. A computational visualization technique is adopted to facilitate understanding of one minute emotion transition that assembling mood. The experimental results show that such approach is feasible and can be extended to study mood in a more comprehensive manner. It is envisaged that this work will be the catalyst for large mood data analysis tool that can help researchers in the near future to look at mood and buying decision for the improvement of comprehensive customer understanding in a more accurate manner. IOS Press 2017 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/63005/13/63005-Computational%20visualization%20of%20customer%20mood%20using%20afective%20space%20model%20approach.pdf application/pdf en http://irep.iium.edu.my/63005/2/63005%20Computational%20Visualization%20of%20Customer%20Mood%20Using%20Affective%20%20SCOPUS.pdf Kamaruddin, Norhaslinda and Handayani, Dini Oktarina Dwi and Abdul Rahman, Abdul Wahab (2017) Computational visualization of customer mood using affective space model approach. In: 16th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2017, 26th-28th September 2017, Kitakyushu, Japan. http://ebooks.iospress.nl/volumearticle/47573 10.3233/978-1-61499-800-6-298
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Kamaruddin, Norhaslinda Handayani, Dini Oktarina Dwi Abdul Rahman, Abdul Wahab Computational visualization of customer mood using affective space model approach
description	Customers' mood information is acquired to facilitate marketers' understanding in order to tailor the marketing strategies for positive outcomes optimization. Mood can be reasonably hypothesized as one of the factor that influences customers' decision in buying the products or services offered. There have been many researchers reporting the correlation between moods and buying decision. However, to date, there is no such method that can exactlyquantify the customer's mood. Typically, a questionnaire is given to the participant to gauge their mood on the focused product or services. The drawback from such approach is that participants can fake, exaggerate or suppress their mood resulting to questionable inference. Hence, a new method of data acquisition is needed to be able to visualize the dynamics of the customers' mood for more accurate analysis. In this paper, the customer brain signal is captured using electroencephalogram (EEG) to track and record brain wave patterns in regard to their emotional states. The sequence of emotion is then used to identify their mood. A computational visualization technique is adopted to facilitate understanding of one minute emotion transition that assembling mood. The experimental results show that such approach is feasible and can be extended to study mood in a more comprehensive manner. It is envisaged that this work will be the catalyst for large mood data analysis tool that can help researchers in the near future to look at mood and buying decision for the improvement of comprehensive customer understanding in a more accurate manner.
format	Conference or Workshop Item
author	Kamaruddin, Norhaslinda Handayani, Dini Oktarina Dwi Abdul Rahman, Abdul Wahab
author_facet	Kamaruddin, Norhaslinda Handayani, Dini Oktarina Dwi Abdul Rahman, Abdul Wahab
author_sort	Kamaruddin, Norhaslinda
title	Computational visualization of customer mood using affective space model approach
title_short	Computational visualization of customer mood using affective space model approach
title_full	Computational visualization of customer mood using affective space model approach
title_fullStr	Computational visualization of customer mood using affective space model approach
title_full_unstemmed	Computational visualization of customer mood using affective space model approach
title_sort	computational visualization of customer mood using affective space model approach
publisher	IOS Press
publishDate	2017
url	http://irep.iium.edu.my/63005/ http://irep.iium.edu.my/63005/ http://irep.iium.edu.my/63005/ http://irep.iium.edu.my/63005/13/63005-Computational%20visualization%20of%20customer%20mood%20using%20afective%20space%20model%20approach.pdf http://irep.iium.edu.my/63005/2/63005%20Computational%20Visualization%20of%20Customer%20Mood%20Using%20Affective%20%20SCOPUS.pdf
first_indexed	2023-09-18T21:29:19Z
last_indexed	2023-09-18T21:29:19Z
_version_	1777412403655344128

Computational visualization of customer mood using affective space model approach

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