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Affective Design Using Social Big Data

In: Social Big Data Analytics

Author

Listed:
  • 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)

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.

Suggested Citation

  • Bilal Abu-Salih & Pornpit Wongthongtham & Dengya Zhu & Kit Yan Chan & Amit Rudra, 2021. "Affective Design Using Social Big Data," Springer Books, in: Social Big Data Analytics, chapter 0, pages 145-176, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-6652-7_6
    DOI: 10.1007/978-981-33-6652-7_6
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