| id |
acadia21_182 |
| authors |
Yang, Qi; Cruz-Garza, Jesus G.; Kalantari, Saleh |
| year |
2021 |
| title |
MindSculpt |
| source |
ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 182-193. |
| doi |
https://doi.org/10.52842/conf.acadia.2021.182
|
| summary |
MindSculpt enables users to generate a wide range of hybrid geometries in Grasshopper in real-time simply by thinking about those geometries. This design tool combines a non-invasive brain–computer interface (BCI) with the parametric design platform Grasshopper, creating an intuitive design workflow that shortens the latency between ideation and implementation compared to traditional computer-aided design tools based on mouse-and-keyboard paradigms. The project arises from transdisciplinary research between neuroscience and architecture, with the goal of building a cyber-human collaborative tool that is capable of leveraging the complex and fluid nature of thinking in the design process. MindSculpt applies a supervised machine-learning approach, based on the support vector machine model (SVM), to identify patterns of brain-waves that occur in EEG data when participants mentally rotate four different solid geometries. The researchers tested MindSculpt with participants who had no prior experience in design, and found that the tool was enjoyable to use and could contribute to design ideation and artistic endeavors. |
| series |
ACADIA |
| type |
paper |
| email |
qy244@cornell.edu |
| full text |
 file.pdf (4,632,858 bytes) |
| references |
Content-type: text/plain
|
Alcaide-Marzal, Jorge, José Antonio Diego-Más, Sabina Asensio Cuesta, and Betina Piqueras-Fiszman (2013)
 An Exploratory Study on the Use of Digital Sculpting in Conceptual Product Design
, Design Studies 34 (2): 264–284
|
|
|
|
|
Alexander Craik, Yongtian He, and Jose L. Contreras-Vidal (2019)
Deep learning for electroencephalogram (EEG) classification tasks: A Review
, Journal of Neural Engineering 16 (3): 031001
|
|
|
|
|
Aline Roc, Léa Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N'Kaoua, Camille Jeunet, and Fabien Lotte (2020)
A Review of User Training Methods in Brain Computer Interfaces based on Mental Tasks
, Journal of Neural Engineering 18 (1): 011002
|
|
|
|
|
Andrea Kübler, and Loic Botrel (2019)
The Making of Brain Painting—From the Idea to Daily Life Use by People in the Locked-in State
, Brain Art: Brain-Computer Interfaces for Artistic Expression, 409–431
|
|
|
|
|
Andreas Wulff-Abramsson, Adam Lopez, and Luis Antonio Mercado Cerda (2019)
Paint with Brainwaves—A Step Towards a Low Brain Effort Active BCI Painting Prototype
, Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity, 183–188, Springer Series on Bio- and Neurosystems, vol 10
|
|
|
|
|
Anton Nijholt, ed (2019)
Brain Art: Brain-Computer Interfaces for Artistic Expression
, Cham: Springer
|
|
|
|
|
B. Blankertz, G. Dornhege, M. Krauledat, K-R. Müller, and G. Curio (2007)
The non-invasive Berlin BrainComputer Interface: Fast acquisition of effective performance in untrained subjects
, NeuroImage 37 (2): 539–550
|
|
|
|
|
B.F. Robertson, and D.F. Radcliffe (2009)
Impact of CAD tools on Creative Problem Solving in Engineering Design
, Computer-Aided Design 41 (3): 136–146
|
|
|
|
|
Barsan-Pipu, Claudiu (2019)
Artificial Intelligence Applied to Brain-Computer Interfacing with Eye-Tracking for Computer[1]Aided Conceptual Architectural Design in Virtual Reality Using Neurofeedback
, Proceedings of the 2019 DigitalFUTURES: The 1st International Conference on Computational Design and Robotic Fabrication. 124–135
|
|
|
|
|
Ben Shneiderman, Gerhard Fischer, Mary Czerwinski, Mitch Resnick, Brad Myers, Linda Candy, Ernest Edmonds et al (2006)
Creativity Support Tools: Report from a US National Science Foundation Sponsored Workshop
, International Journal of Human[1]Computer Interaction 20 (2): 61–77
|
|
|
|
|
Bojan Kerous, Filip Skola, and Fotis Liarokapis (2018)
EEG-based BCI and Video Games: A Progress Report
, Virtual Reality 22 (2): 119–135
|
|
|
|
|
Caetano, Ines, and António Leitao (2020)
Architecture Meets Computation: An Overview of the Evolution of Computational Design Approaches in Architecture
, Architectural Science Review 63 (2): 165–174
|
|
|
|
|
Camille Jeunet, Bernard N’Kaoua, Sriram Subramanian, Martin Hachet, and Fabien Lotte (2015)
Predicting Mental Imagerybased BCI Performance from Personality, Cognitive Profle and Neurophysiological Patterns
, PLoS ONE 10 (12): e0143962.
|
|
|
|
|
Catherine Stones, and Tom Cassidy (2007)
Comparing Synthesis Strategies of Novice Graphic Designers Using Digital and Traditional Design Tools
, Design Studies 28 (1): 59–72
|
|
|
|
|
Chris Charlesworth (2007)
Student Use of Virtual and Physical Modelling in Design Development: An Experiment in 3D Design Education
, The Design Journal 10 (1): 35–45
|
|
|
|
|
Cruz-Garza, Jesus G., Akshay Sujatha Ravindran, Anastasiya E. Kopteva, Cristina Rivera Garza, and Jose L. Contreras-Vidal (2020)
Characterization of the stages of creative writing with mobile EEG using Generalized Partial Directed Coherence
, Frontiers in Human Neuroscience 14: 533
|
|
|
|
|
D Rosenboom. and T. Mullen (2019)
More than one—Artistic explorations with multi-agent BCIs
, Brain Art: Brain-Computer Interfaces for Artistic Expression, 117–143
|
|
|
|
|
Deng Wang, Duoqian Miao, and Gunnar Blohm (2012)
Multi-class motor imagery EEG decoding for brain-computer interfaces
, Frontiers in Neuroscience 6: 151
|
|
|
|
|
E. Maby, M. Perrin, O. Bertrand, G. Sanchez, and J. Mattout (2012)
BCI could make old two-player games even more fun: A proof of concept with ‘connect Four
, Adv. Human-Computer Interact. 2012: 1
|
|
|
|
|
Elaine Astrand, Jeanette Plantin, Susanne Palmcrantz, and Jonatan Tidare (2021)
EEG non-stationarity across multiple sessions during a Motor Imagery-BCI intervention: Two post stroke case series
, 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER). 817–821
|
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| last changed |
2023/10/22 12:06 |
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