Democratizing Intelligent Soft Wearables
Wearables have long been integral to human culture and daily life. Recent advances in intelligent soft wearables have dramatically transformed how we interact with the world, enhancing our health, productivity, and overall well-being. These innovations, combining advanced sensor design, fabrication, and computational power, offer unprecedented opportunities for monitoring, assistance, and augmentation. However, the benefits of these advancements are not yet universally accessible. Economic and technical barriers often limit the reach of these technologies to domain-specific experts. There is a growing need for democratizing intelligent wearables that are scalable, seamlessly integrated, customized, and adaptive. By bringing researchers from relevant disciplines together, this workshop aims to identify the challenges and investigate opportunities for democratizing intelligent soft wearables within the HCI community via interactive demos, invited keynotes, and focused panel discussions.
Authors
- Cédric Honnet (ORCID: https://orcid.org/0000-0003-2152-1756)
- Yiyue Luo (ORCID: https://orcid.org/0009-0008-5127-0496)
- Tingyu Cheng (ORCID: https://orcid.org/0000-0002-2398-2348)
- Andreea Danielescu (ORCID: https://orcid.org/0000-0001-7460-2467)
- Irmandy Wicaksono (ORCID: https://orcid.org/0000-0003-4212-5138)
- Stefanie Mueller (ORCID: https://orcid.org/0000-0001-7743-7807)
- Tianhong Catherine Yu (ORCID: https://orcid.org/0000-0002-3742-0178)
- Cheng Zhang (ORCID: https://orcid.org/0000-0002-5079-5927)
- Joseph A. Paradiso (ORCID: https://orcid.org/0000-0002-0719-7104)
Institutions
- Georgia Institute of Technology (US)
- University of Washington (US)
- Cornell University (US)
- Accenture (United States) (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1145/3672539.3686707
- Citations
- 5
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.92