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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IOS Press
2017
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848785951792300032 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:01:18Z |
| format | Proceeding Paper |
| id | iium-63005 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:01:18Z |
| publishDate | 2017 |
| publisher | IOS Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | T Technology (General) Kamaruddin, Norhaslinda Handayani, Dini Oktarina Dwi Abdul Rahman, Abdul Wahab Computational visualization of customer mood using affective space model approach |
| title | 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_short | Computational visualization of customer mood using affective space model approach |
| title_sort | computational visualization of customer mood using affective space model approach |
| topic | T Technology (General) |
| 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 |