K.W. Song
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23 records found
1
Growing Bio-HCI at CHI
Exchanging Materials, Tools, Practices, and Artifacts
Conference paper
(2026)
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Fiona Bell, Jingwen Zhu, Nadia Campo Woytuk, Fernanda Soares da Costa, Lauren Thu, Qiuyu Lu, Katherine W. Song, Phillip Gough, Cindy Hsin Liu Kao, More Authors
Biological Human-Computer Interaction (Bio-HCI) has recently emerged as a rapidly growing and evolving area of research that explores the intersections of biology and technology. While vast in scope, the integration of biological systems, processes, and organisms within HCI serves as fertile ground for developing new, sustainable perspectives and methods of design. Consequently, this workshop aims to grow the ecosystem of Bio-HCI works by facilitating a space for experienced researchers and practitioners to exchange biomaterial recipes, biofabrication tools, biomaking practices, and biodesigned artifacts. Participants will share these contributions in a show-and-tell format-providing physical samples to demonstrate and explain their work. The show-and-tell will further provide a scaffold for drawing connections between works and serve as a starting point to discuss challenges, tensions, and barriers, followed by future opportunities. All show-and-tell contributions will be compiled into a collective zine to highlight, disseminate, and cultivate the current ecosystem of Bio-HCI at CHI.
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Biological Human-Computer Interaction (Bio-HCI) has recently emerged as a rapidly growing and evolving area of research that explores the intersections of biology and technology. While vast in scope, the integration of biological systems, processes, and organisms within HCI serves as fertile ground for developing new, sustainable perspectives and methods of design. Consequently, this workshop aims to grow the ecosystem of Bio-HCI works by facilitating a space for experienced researchers and practitioners to exchange biomaterial recipes, biofabrication tools, biomaking practices, and biodesigned artifacts. Participants will share these contributions in a show-and-tell format-providing physical samples to demonstrate and explain their work. The show-and-tell will further provide a scaffold for drawing connections between works and serve as a starting point to discuss challenges, tensions, and barriers, followed by future opportunities. All show-and-tell contributions will be compiled into a collective zine to highlight, disseminate, and cultivate the current ecosystem of Bio-HCI at CHI.
Bio-digital systems that merge microbial life with technology promise new modes of computation, combining biological adaptability with digital precision. Yet realizing this potential symbiotically – where biological and digital agents co-adapt and co-process – remains elusive, largely due to the absence of a shared vocabulary bridging biology and computing. Consequently, microbes are often constrained to uni-directional roles, functioning as sensors or actuators rather than as active, computational partners in bio-digital systems. In response, we propose a taxonomy and pathways that articulate and expand the roles of biological and digital entities for synergetic bio-digital computation. Using this taxonomy, we analysed 70 systems across HCI, design, and engineering, identifying how biological mechanisms can be mapped onto computational abstractions. We argue that such mappings enable computationally actionable directions that foster richer and reciprocal relationships in bio-digital systems, supporting regenerative ecologies across time and scale while inspiring new paradigms for computation in HCI.
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Bio-digital systems that merge microbial life with technology promise new modes of computation, combining biological adaptability with digital precision. Yet realizing this potential symbiotically – where biological and digital agents co-adapt and co-process – remains elusive, largely due to the absence of a shared vocabulary bridging biology and computing. Consequently, microbes are often constrained to uni-directional roles, functioning as sensors or actuators rather than as active, computational partners in bio-digital systems. In response, we propose a taxonomy and pathways that articulate and expand the roles of biological and digital entities for synergetic bio-digital computation. Using this taxonomy, we analysed 70 systems across HCI, design, and engineering, identifying how biological mechanisms can be mapped onto computational abstractions. We argue that such mappings enable computationally actionable directions that foster richer and reciprocal relationships in bio-digital systems, supporting regenerative ecologies across time and scale while inspiring new paradigms for computation in HCI.
Wearable Bio-HCI
Challenges & Opportunities
Conference paper
(2025)
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Jingwen Zhu, Fiona Bell, Katherine W. Song, Katia Vega, Aditya Shekhar Nittala, Mirela Alistar, Leah Buechley, Cindy Hsin Liu Kao
Biological Human-Computer Interaction (Bio-HCI) investigates the dynamic relationship between humans, computers, and biological systems. There has been a growing interest in integrating biological components into wearable human-computer interactions to expand their functional capabilities, material options, and design processes. Researchers have explored novel systems such as biofluid sensing for personal health, sustainable fabrication practices using biomaterials for creating wearables, and integrating living matter into wearable forms. However, as a rapidly growing, multidisciplinary field, Wearable Bio-HCI faces unique challenges and opportunities that demand collective efforts from a diverse group of researchers and practitioners. In this special interest group, we aim to gather researchers who are in this field or interested in integrating Bio-HCI approaches for creating novel interactive wearables. Our goal is to identify, brainstorm, and discuss challenges and opportunities that are unique to wearable Bio-HCI explorations. We aim to generate ideas on community engagement and cross-disciplinary collaboration for future research.
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Biological Human-Computer Interaction (Bio-HCI) investigates the dynamic relationship between humans, computers, and biological systems. There has been a growing interest in integrating biological components into wearable human-computer interactions to expand their functional capabilities, material options, and design processes. Researchers have explored novel systems such as biofluid sensing for personal health, sustainable fabrication practices using biomaterials for creating wearables, and integrating living matter into wearable forms. However, as a rapidly growing, multidisciplinary field, Wearable Bio-HCI faces unique challenges and opportunities that demand collective efforts from a diverse group of researchers and practitioners. In this special interest group, we aim to gather researchers who are in this field or interested in integrating Bio-HCI approaches for creating novel interactive wearables. Our goal is to identify, brainstorm, and discuss challenges and opportunities that are unique to wearable Bio-HCI explorations. We aim to generate ideas on community engagement and cross-disciplinary collaboration for future research.
Unmaking and HCI
Techniques, Technologies, Materials, and Philosophies beyond Making
Journal article
(2025)
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Katherine W. Song, Samar Sabie, Steven Jackson, Kristina Lindström, Eric Paulos, Åsa Ståhl, Ron Wakkary
Conference paper
(2024)
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Katherine W Song, Szu Ting Tung, Alexis Kim, Eric Paulos
Conference paper
(2024)
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Katherine W Song, Fiona Bell, Samar Sabie, Ron Wakkary, Himani Deshpande, Ilan Mandel, Tiffany Wun, Mirela Alistar, Leah Buechley, Wendy Ju, Jeeeun Kim, Eric Paulos
Conference paper
(2023)
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Katherine Wei Song, Christine Dierk, Szu Ting Tung, Eric Paulos
Conference paper
(2023)
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Katherine Wei Song, Eric Paulos
Conference paper
(2022)
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Samar Sabie, Katherine W Song, Tapan Parikh, Steven Jackson, Eric Paulos, Kristina Lindstrom, Åsa Ståhl, Dina Sabie, Kristina Andersen, Ron Wakkary
Conference paper
(2022)
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Katherine W Song, Aditi Maheshwari, Eric M Gallo, Andreea Danielescu, Eric Paulos
Conference paper
(2021)
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K.W. Song, J. Vivrekar, L. Yeom, Eric Paulos, N. Salehi
Conference paper
(2021)
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K.W. Song, Eric Paulos
Journal article
(2015)
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G.J. Supran, K.W. Song, G.W. Hwang, R.E. Correa, J. Scherer, E.A. Dauler, Y. Shirasaki, M.G. Bawendi, V. Bulovic
Journal article
(2013)
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G.J. Supran, Y. Shirasaki, K.W. Song, J.-M. Caruge, P.T. Kazlas, S. Coe-Sullivan, T.L. Andrew, M.G. Bawendi, V. Bulović
Journal article
(2013)
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K.W. Song, R. Costi, V. Bulovic̈
Conference paper
(2012)
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Y. Hu, W. Rieutort-Louis, J. Sanz-Robinson, K. Song, J.C. Sturm, S. Wagner, N. Verma
Journal article
(2011)
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Y. Liang, K. Song, T. Mbise, L. Shaw, M. Zhu, A. Tait, N. Businelli, J. Yang, R. Soussan, H. Zhou, J. Lu
Journal article
(2011)
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R.A. Street, K.W. Song, S. Cowan
Conference paper
(2010)
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K.W. Song, L. Han, S. Wagner, P. Mandlik