Designing for wearable and fashionable interactions
Exploring narrative design and cultural semantics for design anthropology
This research examines wearable, fashionable interaction design to mediate the narrative and semiotic concepts
found in technology and fashion. We discuss the principles of design anthropology using Taiwan proverbs to transmit the
“people-situation-reason-object” method and analyze five case studies that provide new approaches for designers engaged in future
industry. Design anthropology attempts to engage physiological and psychological design through technological function, meaning
formation, and fashion aesthetics to achieve cognition between people and the environment. The wearable, fashionable interaction
displays characteristics of narrative and semantics transmitted through craft culture as well as collective, cheerful, and
creative performance. It is a confident and innovative attempt, which bears a joyful and fundamental interface. This study takes
two directions, with cultural thinking serving as the basis to establish a set of traditional craft designs and interactive
objects that assist designers in using the senses to inform and initiate new lifestyle values.
Article outline
- 1.Introduction
- 1.1Wearable and fashionable interactions
- 1.2Wearable computing
- 1.3Fashionable technology
- 2.Wearable and fashionable interactions produced by narrative design and cultural semantics
- 2.1Wearable and fashionable interactions product design in narrative design
- 2.2Function application of narrative design in design of wearable and fashionable interactions
- 3.Design case studies
- 3.1Form application of cultural semantics in design of wearable and fashionable interactions
- 3.2Implications from design anthropology for model thinking
- 4.Model of wearable and fashionable interactions product design
- 4.1Design derived from the inner and outer design anthropology values
- 5.Conclusion
- Acknowledgements
-
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Cited by
Cited by 1 other publications
Byrdina, Marina V., Mikhail F. Mitsik, Lema A. Bekmurzaev & Victoria S. Belysheva
2021.
2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA),
► pp. 383 ff.

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