Overview
- Editors:
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Desney S. Tan
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Researcher, Microsoft Research, Washington, USA
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Anton Nijholt
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Fac. Electrical Engineering,, Mathematics &Computer Science, University of Twente, Enschede, Netherlands
- Explores challenges and opportunities for using brain sensing in HCI, in particular for intentional brain control and for evaluation and adaptation of user interfaces
- Surveys Human-Computer Interaction solutions to Brain-Computer Interface research, in particular the design of engaging and intelligent user interfaces
- A broad survey for HCI researchers of research in the Brain-Computer Interface domain
- Includes supplementary material: sn.pub/extras
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Table of contents (15 chapters)
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Front Matter
Pages I-XXIV
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Overview and Techniques
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- Desney Tan, Anton Nijholt
Pages 3-19
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- Melody Moore Jackson, Rudolph Mappus
Pages 21-33
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- Brendan Z. Allison, Christa Neuper
Pages 35-54
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- Siamac Fazli, Márton Danóczy, Florin Popescu, Benjamin Blankertz, Klaus-Robert Müller
Pages 55-70
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- Marieke E. Thurlings, Jan B. F. van Erp, Anne-Marie Brouwer, Peter J. Werkhoven
Pages 71-86
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Applications
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- Melody Moore Jackson, Rudolph Mappus
Pages 89-103
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- Alik S. Widge, Chet T. Moritz, Yoky Matsuoka
Pages 105-119
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- Erin M. Nishimura, Evan D. Rapoport, Peter M. Wubbels, Traci H. Downs, J. Hunter Downs III
Pages 121-132
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- Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang
Pages 133-148
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- Danny Plass-Oude Bos, Boris Reuderink, Bram van de Laar, Hayrettin Gürkök, Christian Mühl, Mannes Poel et al.
Pages 149-178
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Brain Sensing in Adaptive User Interfaces
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Front Matter
Pages 179-179
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- Thorsten O. Zander, Christian Kothe, Sabine Jatzev, Matti Gaertner
Pages 181-199
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- Jan B. F. van Erp, Hans (J. A. ) Veltman, Marc Grootjen
Pages 201-219
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- Audrey Girouard, Erin Treacy Solovey, Leanne M. Hirshfield, Evan M. Peck, Krysta Chauncey, Angelo Sassaroli et al.
Pages 221-237
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Tools
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Front Matter
Pages 239-239
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- Arnaud Delorme, Christian Kothe, Andrey Vankov, Nima Bigdely-Shamlo, Robert Oostenveld, Thorsten O. Zander et al.
Pages 241-259
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- Adam Wilson, Gerwin Schalk
Pages 261-274
About this book
For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought.
Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work.
For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.
Reviews
From the reviews:
“Human-computer interaction (HCI) is a maturing and unfolding field of basic research and practical applications. Need a broad-based introductory survey of brain-computer interfaces (BCIs)? This collection of chapters for individuals without a background in neuroscience or brain sensing is what you need. Students and designers will find this material useful. … Brief discussions with numerous references to more detailed research are among the strengths of this book. … Anyone interested in BCI will want to begin with this collection.” (Brad Reid, ACM Computing Reviews, February, 2011)
Editors and Affiliations
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Researcher, Microsoft Research, Washington, USA
Desney S. Tan
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Fac. Electrical Engineering,, Mathematics &Computer Science, University of Twente, Enschede, Netherlands
Anton Nijholt
About the editors
Desney Tan has been a Researcher in the Visualization and Interaction Area at Microsoft Research since 2004, and now manages the Computational User Experiences group. He also holds an affiliate faculty appointment in the Department of Computer Science and Engineering at the University of Washington. Desney’s research interests include Human-Computer Interaction and Physiological Computing. In general, he spends large chunks of time applying signal processing and machine learning to recognizing noisy signals, specifically those in or on the human body, and using them in interesting ways. However, he is a somewhat schizophrenic researcher and has worked on projects in many other domains. Desney received his Bachelor of Science in Computer Engineering from the University of Notre Dame in 1996, after which he spent a couple of years building bridges and blowing things up in the Singapore Armed Forces. He later returned to Carnegie Mellon University, where he worked with Randy Pausch and earned his PhD in Computer Science in 2004. Desney was honored as one of MIT Technology Review's 2007 Young Innovators Under 35 for his work in braincomputer interfaces, as well as named one of SciFi Channel's Young Visionaries at TED 2009. For more complete CV and publications list, see: http://research.microsoft.com/~desney/cv.htm and http://research.microsoft.com/~desney/publications.htm. Anton Nijholt studied mathematics and computer science at Delft University of Technology in the Netherlands. He obtained a PhD from the Vrije Universiteit in Amsterdam in 1980 and since then he has held positions at universities in Canada, Belgium and the Netherlands before settling down as full professor of computer science at the University of Twente in the Netherlands. In 1996 he spent a sabbatical year on studying (computational) humor at the Netherlands Institute for Advanced Study in the Humanities and Social Sciences in Wassenaar, the Netherlands. Currently he is heading the HumanMedia Interaction research group at his university. His main research interests are multiparty interaction, multimodal interaction (including brain-computer interfacing), and entertainment computing. Anton Nijholt has (co-)authored many scientific papers in these areas and acted as the guest editor of various well-known journals. In the large-scale Dutch BrainGain project on brain-computer interfacing he is responsible for the research theme 'brain-computer interfacing for healthy users' with a focus on game applications. For more complete CV and publications list, see: http://wwwhome.cs.utwente.nl/~anijholt/index.php?topic=about and http://wwwhome.cs.utwente.nl/~anijholt/index.php?topic=publications
