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dc.contributor.authorWang, Guanyun
dc.contributor.authorChen, Chuang
dc.contributor.authorJin, Xiao
dc.contributor.authorChen, Yulu
dc.contributor.authorZheng, Yangweizhe
dc.contributor.authorZhen, Qianzi
dc.contributor.authorZhang, Yang
dc.contributor.authorLi, Jiaji
dc.contributor.authorYang, Yue
dc.contributor.authorTao, Ye
dc.contributor.authorLuo, Shijian
dc.contributor.authorSun, Lingyun
dc.date.accessioned2025-12-11T19:44:43Z
dc.date.available2025-12-11T19:44:43Z
dc.date.issued2025-04-25
dc.identifier.isbn979-8-4007-1394-1
dc.identifier.urihttps://hdl.handle.net/1721.1/164282
dc.descriptionCHI ’25, Yokohama, Japanen_US
dc.description.abstractWood has become increasingly applied in shape-changing interfaces for its eco-friendly and smart responsive properties, while its applications face challenges as it remains primarily driven by humidity. We propose TH-Wood, a biodegradable actuator system composed of wood veneer and microbial polymers, driven by both temperature and humidity, and capable of functioning in complex outdoor environments. This dual-factor-driven approach enhances the sensing and response channels, allowing for more sophisticated coordinating control methods. To assist in designing and utilizing the system more effectively, we developed a structure library inspired by dynamic plant forms, conducted extensive technical evaluations, created an educational platform accessible to users, and provided a design tool for deformation adjustments and behavior previews. Finally, several ecological applications demonstrate the potential of TH-Wood to significantly enhance human interaction with natural environments and expand the boundaries of human-nature relationships.en_US
dc.publisherACM|CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3706598.3714304en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleTH-Wood: Developing Thermo-Hygro-Coordinating Driven Wood Actuators to Enhance Human-Nature Interactionen_US
dc.typeArticleen_US
dc.identifier.citationGuanyun Wang, Chuang Chen, Xiao Jin, Yulu Chen, Yangweizhe Zheng, Qianzi Zhen, Yang Zhang, Jiaji Li, Yue Yang, Ye Tao, Shijian Luo, and Lingyun Sun. 2025. TH-Wood: Developing Thermo-Hygro-Coordinating Driven Wood Actuators to Enhance Human-Nature Interaction. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 745, 1–19.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-08-01T08:18:02Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T08:18:04Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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