2022 Phantasm Akopọ Sikafu Irun by Yen-Ting Cho is a highly esteemed winner of the very prestigious 2022 Àmì-ẹ̀yẹ Fàdákà A' Design Award in Àpẹẹrẹ Ohun Ọ̀ṣọ́ Àṣà àti Ìrìnàjò Competition Category.
FàdákàOhun Ọ̀ṣọ́· 2022
2022 Phantasm Akopọ Sikafu Irun
by Yen-Ting Cho
Client: YEN TING CHO Studio
Àmì-ẹ̀yẹ Fàdákà A' Design Award Winner in Ohun Ọ̀ṣọ́ Category
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The Design
About 2022 Phantasm Akopọ Sikafu Irun
Awọn sikafu irun-agutan mimọ-abo-abo pẹlu alailẹgbẹ-titẹ sita oni-nọmba awọn ilana imusin ti a ṣejade ni lilo sọfitiwia bespoke ti a ṣe eto ti a pe ni Mov.i.see ti o nlo gbigbe ara lati yi data oni-nọmba pada ati ṣafihan awọn alaye Organic ko ṣee ṣe nikan nipasẹ siseto kọnputa. Mov.i.see ngbanilaaye oluṣeto lati ṣẹda awọn ilana asymmetrical ati ti kii ṣe atunwi, ti o yọrisi ni ọpọlọpọ ati awọn scarves ere ti o le wọ ni awọn ọna oriṣiriṣi ni ibamu si iṣesi tabi iṣẹlẹ, ati pe ko dabi eyikeyi awọn ọja miiran ni awọn aṣọ tabi ọja awọn ẹya ara ẹrọ njagun. .
The Recognition
About the Àmì-ẹ̀yẹ Fàdákà A' Design Award
2022 Phantasm Akopọ Sikafu Irun jẹ́ olùborí Àmì-ẹ̀yẹ Fàdákà A' Design Award, ìdánimọ̀ onípọ̀nlé lọ́nà àrà ọ̀tọ̀ tí a fún àwọn àwòṣe ìpele gíga jùlọ tó dára tó sì ń kan ọkàn. Àwọn olùborí Fàdákà jẹ́ àwọn iṣẹ́ tó ń tàn yòò gidigidi tó sì ní ìṣẹ̀dá púpọ̀ tí wọ́n ń ṣàfihàn ìmọ̀ ìjìnlẹ̀, ẹ̀bùn àti ìmọ̀ràn àwọn olùṣàwòṣe wọn. A retí pé 2022 Phantasm Akopọ Sikafu Irun yóò jẹ́ iṣẹ́ àgbàyanu, àpẹẹrẹ rere, ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun jinlẹ̀. Àwòṣe tó borí Àmì-ẹ̀yẹ Fàdákà A' Design Award yìí jẹ́ ohun ìmúṣẹ̀dá tó hàn gbangba gidigidi tí a mọrírì tó ń ṣe anfàní tó sì ń tì ààlà iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ síwájú. 2022 Phantasm Akopọ Sikafu Irun jẹ́ ẹ̀dá tí ọ̀pọ̀lọpọ̀ ń ṣe ìlara, tó ń jí ìfẹ́ inú, tó ń mú ìmọ̀lára rere wá tó sì ń jí ìyàlẹ́nu àti ìyanu.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- The patterns are unique because they are created with the studio's digital software, mov.i.see, which uses body movement to reconstruct digital data and reveal organic details not possible solely by programming. This enables he design team to create asymmetrical, non-repeat patterns that are very different from those made using traditional methods eg. mirroring or repetition. Finished by hand, the patterns are digitally-printed onto natural fabric which enables the design team to reproduce the fine detail of the designs.
- Dimensions & Packaging
- Each scarf: pure wool fibre, 100cm wide x 200cm long, 0.4 kg weight. Pattern digitally-printed with ink free of heavy metals.
- Tags
- Digital design, digital print, wool, scarf, textile design, pattern, contemporary, new aesthetic, COVID-19, pandemic
- Production Technology
- The design team uses a bespoke interactive software, mov.i.see, to create digital patterns. Mov.i.see uses body movement to reconstruct digital data and reveal organic details not possible solely by programming. For this Collection, the team used, for the first time, layered design to bridge the gap between the figurative and the abstract to represent the complexity of the COVID-19 virus. Digital printing techniques reproduce the fine detail of the original designs whilst retaining the special colour-pattern combinations. Pure fine-combed wool holds the ink and reveals the detail of the pattern.
- Design Challenge
- The challenge was to create patterns inspired by the difficult circumstances of the COVID-19 pandemic that were colourful, optimistic and playful. The team researched thematic concepts and colour-ways, and experimented with mov.i.see to create the new patterns. The designers used, for the first time, layered design to integrate distinctive abstract patterns with figurative symbols (eg. houndstooth). The patterns were modified whilst they were being created, rather than allow the software to wholly dictate the design; consequently, the patterns reveal the authorship of the designer.
- Research
- The design team creates unique patterns using a bespoke digital software programme (mov.i.see), which uses body movement to reconstruct digital data and reveal organic details not possible solely by programming. Inspired by the COVID-19 pandemic, the team aimed to apply the designs to a saleable commodity - pure wool scarves - that are colourful, optimistic and playful. Through trial and error, the team found digital printing techniques that reproduce the fine detail of the original digital designs whilst retaining the special colour combinations. The scarves are retailed and exhibited internationally.
- Inspiration
- The 2022 patterns represent a personal creative response to the COVID-19 pandemic. Physically stranded between studios in two countries during national lockdowns, the design team looked inwards for inspiration. Longing to escape to a utopian paradise, the team envisaged a journey to a fantastical world. The response was fantastical, ethereal and playful patterns based on the imagined journey, incorporating radically new pattern structures and colour combinations.
- Project Duration
- This Collection was inspired by the peculiar circumstances of the COVID-19 pandemic. The design team started designing the patterns in September 2020 and completed the project in February 2022 when the patterns were launched in New York City.
- Operation Flow
- A pure wool scarf with a digitally-printed pattern which can be worn as a gender-neutral fashion accessory. The studio produces unique and dynamic patterns that can be applied to playful, aesthetically-pleasing and desirable products. With asymmetrical and unique colour combinations, the scarf can be worn in different ways and to reflect individual expression, and fit changing fashion needs and occasions. Patterns are printed through the wool, so each pattern is double-sided. The wool is specially treated so that it is very comfortable and non-abrasive to the touch.
- Patents
- Copyright 2022 YEN TING CHO.
- Team Members
- Director: Yen-Ting Cho
Co-Director: Jamie Gilham
Software Developer: Yen-Ling Kuo
Software Developer: Yen-Ting Yeh
Brand Assistant: Cheng-Lin Lee
Design Assistant: Yu-Ting Li
Video Editor: Kai Ting Chan
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