Affective Design Using Social Big Data

Bilal Abu-Salih (), Pornpit Wongthongtham (), Dengya Zhu (), Kit Yan Chan () and Amit Rudra ()
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Bilal Abu-Salih: The University of Jordan
Pornpit Wongthongtham: The University of Western Australia
Dengya Zhu: Curtin University
Kit Yan Chan: Curtin University
Amit Rudra: Curtin University

Chapter Chapter 6 in Social Big Data Analytics, 2021, pp 145-176 from Springer

Abstract: Abstract This chapter discusses how social big data can be used to perform affective design of new products, which satisfy the product affective needs and aesthetic appreciation of developing new products. Affective design attempts to enhance the affective satisfaction such as the aesthetic appreciation and the emotional impression to the products. Previously affective design was mostly conducted with small data which is collected by consumer survey and interviewing with the questionnaire. The social big data for affective design is more popular and can be freely accessed from social media, consumer reviews and new product blogs. This data contains a lot of useful information for affective design which contributes a significant position in the market domain. Since the data volume and velocity of social big data is huge, modern machine learning technologies are commonly used to analyse this data. This chapter also discusses the mechanisms of how those modern machine learning technologies can be used to perform affective design with social big data.

Keywords: Affective design; New product development; Machine learning; Social big data; Consumer reviews; Product blogs; Internet of things (IoT) (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-33-6652-7_6

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DOI: 10.1007/978-981-33-6652-7_6

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