Zhong, Shu;
(2024)
Design Digital Multisensory Textile Experiences.
In:
Proceedings of the 26th ACM International Conference on Multimodal Interaction.
ACM: San Jose, Costa Rica.
(In press).
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Abstract
The rise of Machine Learning (ML) is gradually digitalizing and reshaping the fashion industry, which is under pressure to achieve Net Zero. However, the integration of ML/AI for sustainable and circular practices remains limited due to a lack of domain-specific knowledge and data. My doctoral research aims to bridge this gap by designing digital multisensory textile experiences that enhance the understanding of the textile domain for both AI systems and humans. To this end, I develop TextileNet, the first fashion dataset using textile taxonomies for textile materials identification and classification via computer vision, and TextileBot, a domain-specific conversational agent. TextileBot integrates textile taxonomies with large language models (LLMs) to engage consumers in sustainable practices. Additionally, my research explores how multisensory experiences can improve user understanding and how AI perceives textiles. The overarching goal is to embed human expertise into machines, design immersive multisensory experiences, and facilitate natural human-AI interactions that promote sustainable practices.
| Type: | Proceedings paper |
|---|---|
| Title: | Design Digital Multisensory Textile Experiences |
| Event: | 26th ACM International Conference on Multimodal Interaction |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3678957.3688621 |
| Publisher version: | https://icmi.acm.org/2024/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Human-AI interaction, AI for Social Good, Sustainability, Machine Learning, Multimodal Large Language Models, Agents |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10196395 |
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