Predicting affect from phone features using discriminant analysis

There are many products that may be studied for their potential to engender emotion but this study focused on the design characteristics of cellular phones. This study aims to identify which features of a cellular phone are capable of discriminating the intensity of emotional experience during the e...

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Main Authors: Seva, Rosemary R., Duh, Henry Been Lirn, Helander, Martin G.
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Published: Animo Repository 2006
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/9236
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-10929
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-109292023-05-10T23:44:03Z Predicting affect from phone features using discriminant analysis Seva, Rosemary R. Duh, Henry Been Lirn Helander, Martin G. There are many products that may be studied for their potential to engender emotion but this study focused on the design characteristics of cellular phones. This study aims to identify which features of a cellular phone are capable of discriminating the intensity of emotional experience during the evaluation process. Consumers can either experience intense positive or negative emotion or not be emotionally affected by the features of the product. Forty two subjects voluntarily participated in a field survey conducted in selected shopping malls in the Philippines. A questionnaire was designed to gather data during the field study. The first part of the questionnaire inquired about the type and intensity of pre-purchase affect that subjects felt while examining the product that attracted their attention during the shopping process. Data gathered from field survey imply that dimensinal features of cellular phones such as width, height to width ratio, and size of navigation button are good discriminating variables. Phones with smaller widths and smaller navigation buttons can evoke intense positive emotion. Keywords: affective product design, discriminant analysis, cellular phone design 2006-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/9236 Faculty Research Work Animo Repository Product design—Psychological aspects Cell phones—Design—Psychological aspects Human Factors Psychology
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Product design—Psychological aspects
Cell phones—Design—Psychological aspects
Human Factors Psychology
spellingShingle Product design—Psychological aspects
Cell phones—Design—Psychological aspects
Human Factors Psychology
Seva, Rosemary R.
Duh, Henry Been Lirn
Helander, Martin G.
Predicting affect from phone features using discriminant analysis
description There are many products that may be studied for their potential to engender emotion but this study focused on the design characteristics of cellular phones. This study aims to identify which features of a cellular phone are capable of discriminating the intensity of emotional experience during the evaluation process. Consumers can either experience intense positive or negative emotion or not be emotionally affected by the features of the product. Forty two subjects voluntarily participated in a field survey conducted in selected shopping malls in the Philippines. A questionnaire was designed to gather data during the field study. The first part of the questionnaire inquired about the type and intensity of pre-purchase affect that subjects felt while examining the product that attracted their attention during the shopping process. Data gathered from field survey imply that dimensinal features of cellular phones such as width, height to width ratio, and size of navigation button are good discriminating variables. Phones with smaller widths and smaller navigation buttons can evoke intense positive emotion. Keywords: affective product design, discriminant analysis, cellular phone design
format text
author Seva, Rosemary R.
Duh, Henry Been Lirn
Helander, Martin G.
author_facet Seva, Rosemary R.
Duh, Henry Been Lirn
Helander, Martin G.
author_sort Seva, Rosemary R.
title Predicting affect from phone features using discriminant analysis
title_short Predicting affect from phone features using discriminant analysis
title_full Predicting affect from phone features using discriminant analysis
title_fullStr Predicting affect from phone features using discriminant analysis
title_full_unstemmed Predicting affect from phone features using discriminant analysis
title_sort predicting affect from phone features using discriminant analysis
publisher Animo Repository
publishDate 2006
url https://animorepository.dlsu.edu.ph/faculty_research/9236
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