{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T06:58:46Z","timestamp":1774681126053,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T00:00:00Z","timestamp":1633824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"name":"U.S.National Science Foundation","award":["HDR-1934553"],"award-info":[{"award-number":["HDR-1934553"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,10]]},"DOI":"10.1145\/3472749.3474743","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T01:04:28Z","timestamp":1634087068000},"page":"179-197","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Taming fNIRS-based BCI Input for Better Calibration and Broader Use"],"prefix":"10.1145","author":[{"given":"Liang","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science Tufts University, United States"}]},{"given":"Zhe","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Computer Science Tufts University, United States"}]},{"given":"Ziyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Computer Science Tufts University, United States"}]},{"given":"Devon","family":"McKeon","sequence":"additional","affiliation":[{"name":"Department of Computer Science Tufts University, United States"}]},{"given":"Giles","family":"Blaney","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering Tufts University, United States"}]},{"given":"Michael C.","family":"Hughes","sequence":"additional","affiliation":[{"name":"Department of Computer Science Tufts University, United States"}]},{"given":"Robert J. K.","family":"Jacob","sequence":"additional","affiliation":[{"name":"Department of Computer Science Tufts University, United States"}]}],"member":"320","published-online":{"date-parts":[[2021,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Medical engineering & physics 34, 10","author":"Abibullaev Berdakh","year":"2012","unstructured":"Berdakh Abibullaev and Jinung An. 2012. Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Medical engineering & physics 34, 10 ( 2012 ), 1394\u20131410. Berdakh Abibullaev and Jinung An. 2012. Classification of frontal cortex haemodynamic responses during cognitive tasks using wavelet transforms and machine learning algorithms. Medical engineering & physics 34, 10 (2012), 1394\u20131410."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557230"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2642918.2647414"},{"key":"e_1_3_2_2_4_1","volume-title":"Measuring mental workload with EEG+ fNIRS. Frontiers in human neuroscience 11","author":"Aghajani Haleh","year":"2017","unstructured":"Haleh Aghajani , Marc Garbey , and Ahmet Omurtag . 2017. Measuring mental workload with EEG+ fNIRS. Frontiers in human neuroscience 11 ( 2017 ), 359. Haleh Aghajani, Marc Garbey, and Ahmet Omurtag. 2017. Measuring mental workload with EEG+ fNIRS. Frontiers in human neuroscience 11 (2017), 359."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596921"},{"key":"e_1_3_2_2_6_1","volume-title":"International Conference on Machine Learning. PMLR, 312\u2013321","author":"Arazo Eric","year":"2019","unstructured":"Eric Arazo , Diego Ortego , Paul Albert , Noel O\u2019Connor , and Kevin McGuinness . 2019 . Unsupervised label noise modeling and loss correction . In International Conference on Machine Learning. PMLR, 312\u2013321 . Eric Arazo, Diego Ortego, Paul Albert, Noel O\u2019Connor, and Kevin McGuinness. 2019. Unsupervised label noise modeling and loss correction. In International Conference on Machine Learning. PMLR, 312\u2013321."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2131142"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3363384.3363392"},{"key":"e_1_3_2_2_9_1","volume-title":"EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation, space, and environmental medicine 78, 5","author":"Berka Chris","year":"2007","unstructured":"Chris Berka , Daniel\u00a0 J Levendowski , Michelle\u00a0 N Lumicao , Alan Yau , Gene Davis , Vladimir\u00a0 T Zivkovic , Richard\u00a0 E Olmstead , Patrice\u00a0 D Tremoulet , and Patrick\u00a0 L Craven . 2007. EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation, space, and environmental medicine 78, 5 ( 2007 ), B231\u2013B244. Chris Berka, Daniel\u00a0J Levendowski, Michelle\u00a0N Lumicao, Alan Yau, Gene Davis, Vladimir\u00a0T Zivkovic, Richard\u00a0E Olmstead, Patrice\u00a0D Tremoulet, and Patrick\u00a0L Craven. 2007. EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation, space, and environmental medicine 78, 5 (2007), B231\u2013B244."},{"key":"e_1_3_2_2_10_1","volume-title":"Mixmatch: A holistic approach to semi-supervised learning. In Advances in Neural Information Processing Systems. 5049\u20135059.","author":"Berthelot David","year":"2019","unstructured":"David Berthelot , Nicholas Carlini , Ian Goodfellow , Nicolas Papernot , Avital Oliver , and Colin\u00a0 A Raffel . 2019 . Mixmatch: A holistic approach to semi-supervised learning. In Advances in Neural Information Processing Systems. 5049\u20135059. David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, and Colin\u00a0A Raffel. 2019. Mixmatch: A holistic approach to semi-supervised learning. In Advances in Neural Information Processing Systems. 5049\u20135059."},{"key":"e_1_3_2_2_11_1","volume-title":"Bigio and Sergio Fantini","author":"J.","year":"2016","unstructured":"I.\u00a0 J. Bigio and Sergio Fantini . 2016 . Quantitative Biomedical Optics. Cambridge University Press , Cambridge, UK. I.\u00a0J. Bigio and Sergio Fantini. 2016. Quantitative Biomedical Optics. Cambridge University Press, Cambridge, UK."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1063\/5.0015512"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/jbio.201960018"},{"key":"e_1_3_2_2_14_1","unstructured":"Alexey Bochkovskiy Chien-Yao Wang and Hong-Yuan\u00a0Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934(2020).  Alexey Bochkovskiy Chien-Yao Wang and Hong-Yuan\u00a0Mark Liao. 2020. Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934(2020)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40942-4_4"},{"key":"e_1_3_2_2_16_1","unstructured":"Tarin Clanuwat Mikel Bober-Irizar Asanobu Kitamoto Alex Lamb Kazuaki Yamamoto and David Ha. 2018. Deep learning for classical japanese literature. arXiv preprint arXiv:1812.01718(2018).  Tarin Clanuwat Mikel Bober-Irizar Asanobu Kitamoto Alex Lamb Kazuaki Yamamoto and David Ha. 2018. Deep learning for classical japanese literature. arXiv preprint arXiv:1812.01718(2018)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2018.00102"},{"key":"e_1_3_2_2_18_1","unstructured":"Zach Eaton-Rosen Felix Bragman Sebastien Ourselin and M\u00a0Jorge Cardoso. 2018. Improving data augmentation for medical image segmentation. (2018).  Zach Eaton-Rosen Felix Bragman Sebastien Ourselin and M\u00a0Jorge Cardoso. 2018. Improving data augmentation for medical image segmentation. (2018)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174226"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03655-2_50"},{"key":"e_1_3_2_2_21_1","volume-title":"Deep Learning","author":"Goodfellow Ian","unstructured":"Ian Goodfellow , Yoshua Bengio , and Aaron Courville . 2016. Deep Learning . MIT Press . http:\/\/www.deeplearningbook.org. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 2016. Deep Learning. MIT Press. http:\/\/www.deeplearningbook.org."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/7333.918276"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2016.05.018"},{"key":"e_1_3_2_2_24_1","unstructured":"Dong-Kyun Han and Ji-Hoon Jeong. 2020. Domain Generalization for Session-Independent Brain-Computer Interface. arXiv preprint arXiv:2012.03533(2020).  Dong-Kyun Han and Ji-Hoon Jeong. 2020. Domain Generalization for Session-Independent Brain-Computer Interface. arXiv preprint arXiv:2012.03533(2020)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1037\/e577632012-009"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00065"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7318984"},{"key":"e_1_3_2_2_28_1","volume-title":"Mental workload during n-back task\u2014quantified in the prefrontal cortex using fNIRS. Frontiers in human neuroscience 7","author":"Herff Christian","year":"2014","unstructured":"Christian Herff , Dominic Heger , Ole Fortmann , Johannes Hennrich , Felix Putze , and Tanja Schultz . 2014. Mental workload during n-back task\u2014quantified in the prefrontal cortex using fNIRS. Frontiers in human neuroscience 7 ( 2014 ), 935. Christian Herff, Dominic Heger, Ole Fortmann, Johannes Hennrich, Felix Putze, and Tanja Schultz. 2014. Mental workload during n-back task\u2014quantified in the prefrontal cortex using fNIRS. Frontiers in human neuroscience 7 (2014), 935."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2012.6346279"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2900127"},{"key":"e_1_3_2_2_31_1","volume-title":"International conference on machine learning. PMLR, 448\u2013456","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy . 2015 . Batch normalization: Accelerating deep network training by reducing internal covariate shift . In International conference on machine learning. PMLR, 448\u2013456 . Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning. PMLR, 448\u2013456."},{"key":"e_1_3_2_2_32_1","volume-title":"Effects of Performance and Task Duration on Mental Workload during Working Memory Task. Photonics 6 (08","author":"Khaksari Kosar","year":"2019","unstructured":"Kosar Khaksari , Emma Condy , John Millerhagen , Afrouz Anderson , Hadis Dashtestsni , and Amir Gandjbakhche . 2019. Effects of Performance and Task Duration on Mental Workload during Working Memory Task. Photonics 6 (08 2019 ), 94. https:\/\/doi.org\/10.3390\/photonics6030094 Kosar Khaksari, Emma Condy, John Millerhagen, Afrouz Anderson, Hadis Dashtestsni, and Amir Gandjbakhche. 2019. Effects of Performance and Task Duration on Mental Workload during Working Memory Task. Photonics 6 (08 2019), 94. https:\/\/doi.org\/10.3390\/photonics6030094"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWW-BCI.2016.7457441"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abb7a7"},{"key":"e_1_3_2_2_35_1","volume-title":"Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain\u2013Computer Interfaces Based on Convolutional Neural Networks. Frontiers in human neuroscience 15","author":"Kwon Jinuk","year":"2021","unstructured":"Jinuk Kwon and Chang-Hwan Im. 2021. Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain\u2013Computer Interfaces Based on Convolutional Neural Networks. Frontiers in human neuroscience 15 ( 2021 ), 121. Jinuk Kwon and Chang-Hwan Im. 2021. Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain\u2013Computer Interfaces Based on Convolutional Neural Networks. Frontiers in human neuroscience 15 (2021), 121."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2946869"},{"key":"e_1_3_2_2_37_1","unstructured":"VJ Lawhern AJ Solon NR Waytowich SM Gordon CP Hung and BJ Lance. 2016. EEGNet: a compact convolutional network for EEG-based brain-computer interfaces. arXiv. arXiv preprint arXiv:1611.08024(2016).  VJ Lawhern AJ Solon NR Waytowich SM Gordon CP Hung and BJ Lance. 2016. EEGNet: a compact convolutional network for EEG-based brain-computer interfaces. arXiv. arXiv preprint arXiv:1611.08024(2016)."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/aace8c"},{"key":"e_1_3_2_2_39_1","volume-title":"Deep learning. nature 521, 7553","author":"LeCun Yann","year":"2015","unstructured":"Yann LeCun , Yoshua Bengio , and Geoffrey Hinton . 2015. Deep learning. nature 521, 7553 ( 2015 ), 436\u2013444. Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. nature 521, 7553 (2015), 436\u2013444."},{"key":"e_1_3_2_2_40_1","unstructured":"Hanxiao Liu Andrew Brock Karen Simonyan and Quoc\u00a0V Le. 2020. Evolving normalization-activation layers. arXiv preprint arXiv:2004.02967(2020).  Hanxiao Liu Andrew Brock Karen Simonyan and Quoc\u00a0V Le. 2020. Evolving normalization-activation layers. arXiv preprint arXiv:2004.02967(2020)."},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.26.2.022908"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/HFPP.2002.1042860"},{"key":"e_1_3_2_2_43_1","volume-title":"Load-Dependent Relationships between Frontal fNIRS Activity and Performance: A Data-Driven PLS Approach. NeuroImage 230 (01","author":"Meidenbauer Kimberly","year":"2021","unstructured":"Kimberly Meidenbauer , Kyoung\u00a0Whan Choe , Carlos Cardenas-Iniguez , Theodore Huppert , and Marc Berman . 2021. Load-Dependent Relationships between Frontal fNIRS Activity and Performance: A Data-Driven PLS Approach. NeuroImage 230 (01 2021 ), 117795. https:\/\/doi.org\/10.1016\/j.neuroimage.2021.117795 Kimberly Meidenbauer, Kyoung\u00a0Whan Choe, Carlos Cardenas-Iniguez, Theodore Huppert, and Marc Berman. 2021. Load-Dependent Relationships between Frontal fNIRS Activity and Performance: A Data-Driven PLS Approach. NeuroImage 230 (01 2021), 117795. https:\/\/doi.org\/10.1016\/j.neuroimage.2021.117795"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1518\/001872005774860096"},{"key":"e_1_3_2_2_45_1","volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","unstructured":"Adam Paszke , Sam Gross , Francisco Massa , Adam Lerer , James Bradbury , Gregory Chanan , Trevor Killeen , Zeming Lin , Natalia Gimelshein , Luca Antiga , Alban Desmaison , Andreas Kopf , Edward Yang , Zachary DeVito , Martin Raison , Alykhan Tejani , Sasank Chilamkurthy , Benoit Steiner , Lu Fang , Junjie Bai , and Soumith Chintala . 2019. PyTorch: An Imperative Style , High-Performance Deep Learning Library . In Advances in Neural Information Processing Systems 32, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Curran Associates, Inc., 8024\u20138035. http:\/\/papers.neurips.cc\/paper\/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32, H.\u00a0Wallach, H.\u00a0Larochelle, A.\u00a0Beygelzimer, F.\u00a0d'Alch\u00e9-Buc, E.\u00a0Fox, and R.\u00a0Garnett (Eds.). Curran Associates, Inc., 8024\u20138035. http:\/\/papers.neurips.cc\/paper\/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_2_47_1","volume-title":"Brain oscillatory 4-30 Hz responses during a visual n-back memory task with varying memory load. Brain research 1138 (04","author":"Pesonen Mirka","year":"2007","unstructured":"Mirka Pesonen , Heikki H\u00e4m\u00e4l\u00e4inen , and Christina\u00a0 M. Krause . 2007. Brain oscillatory 4-30 Hz responses during a visual n-back memory task with varying memory load. Brain research 1138 (04 2007 ), 171\u20137. https:\/\/doi.org\/10.1016\/j.brainres.2006.12.076 Mirka Pesonen, Heikki H\u00e4m\u00e4l\u00e4inen, and Christina\u00a0M. Krause. 2007. Brain oscillatory 4-30 Hz responses during a visual n-back memory task with varying memory load. Brain research 1138 (04 2007), 171\u20137. https:\/\/doi.org\/10.1016\/j.brainres.2006.12.076"},{"key":"e_1_3_2_2_48_1","volume-title":"International Workshop on Neural Networks. Springer, 283\u2013292","author":"Pham Thao\u00a0Thanh","year":"2015","unstructured":"Thao\u00a0Thanh Pham , Thang\u00a0Duc Nguyen , and Toi Van\u00a0Vo . 2015 . Sparse fNIRS feature estimation via unsupervised learning for mental workload classification . In International Workshop on Neural Networks. Springer, 283\u2013292 . Thao\u00a0Thanh Pham, Thang\u00a0Duc Nguyen, and Toi Van\u00a0Vo. 2015. Sparse fNIRS feature estimation via unsupervised learning for mental workload classification. In International Workshop on Neural Networks. Springer, 283\u2013292."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/7\/2\/026002"},{"key":"e_1_3_2_2_50_1","volume-title":"Interface on Driver Behavior: Summary Findings on Reported Workload, Physiology, Visual Attention, and Driving Performance. (11","author":"Reimer Bryan","year":"2013","unstructured":"Bryan Reimer and Bruce Mehler . 2013. The Effects of a Production Level \u201dVoice-Command \u201d Interface on Driver Behavior: Summary Findings on Reported Workload, Physiology, Visual Attention, and Driving Performance. (11 2013 ). Bryan Reimer and Bruce Mehler. 2013. The Effects of a Production Level \u201dVoice-Command\u201d Interface on Driver Behavior: Summary Findings on Reported Workload, Physiology, Visual Attention, and Driving Performance. (11 2013)."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2019.8918861"},{"key":"e_1_3_2_2_52_1","unstructured":"RT Schirrmeister JT Springenberg and T Ball. 2018. Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. arXiv preprint arXiv:1703.05051(2018).  RT Schirrmeister JT Springenberg and T Ball. 2018. Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. arXiv preprint arXiv:1703.05051(2018)."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"crossref","unstructured":"Yu Shi Natalie Ruiz Ronnie Taib Eric Choi and Fang Chen. 2007. Galvanic skin response (GSR) as an index of cognitive load. In CHI\u201907 extended abstracts on Human factors in computing systems. 2651\u20132656.  Yu Shi Natalie Ruiz Ronnie Taib Eric Choi and Fang Chen. 2007. Galvanic skin response (GSR) as an index of cognitive load. In CHI\u201907 extended abstracts on Human factors in computing systems. 2651\u20132656.","DOI":"10.1145\/1240866.1241057"},{"key":"e_1_3_2_2_54_1","volume-title":"Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset. Scientific data 5, 1","author":"Shin Jaeyoung","year":"2018","unstructured":"Jaeyoung Shin , Alexander Von\u00a0L\u00fchmann , Do-Won Kim , Jan Mehnert , Han-Jeong Hwang , and Klaus-Robert M\u00fcller . 2018. Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset. Scientific data 5, 1 ( 2018 ), 1\u201316. Jaeyoung Shin, Alexander Von\u00a0L\u00fchmann, Do-Won Kim, Jan Mehnert, Han-Jeong Hwang, and Klaus-Robert M\u00fcller. 2018. Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset. Scientific data 5, 1 (2018), 1\u201316."},{"key":"e_1_3_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0174949"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2208372"},{"key":"e_1_3_2_2_57_1","volume-title":"ACM CHI Conf on Human Factors in ComputingSystems.","author":"Solovey Erin\u00a0Treacy","year":"2011","unstructured":"Erin\u00a0Treacy Solovey and Robert\u00a0 JK Jacob . 2011 . Meaningful Human-Computer Interaction Using fNIRS Brain Sensing . In ACM CHI Conf on Human Factors in ComputingSystems. Erin\u00a0Treacy Solovey and Robert\u00a0JK Jacob. 2011. Meaningful Human-Computer Interaction Using fNIRS Brain Sensing. In ACM CHI Conf on Human Factors in ComputingSystems."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1978997"},{"key":"e_1_3_2_2_59_1","volume-title":"Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15, 1","author":"Srivastava Nitish","year":"2014","unstructured":"Nitish Srivastava , Geoffrey Hinton , Alex Krizhevsky , Ilya Sutskever , and Ruslan Salakhutdinov . 2014. Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15, 1 ( 2014 ), 1929\u20131958. Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: a simple way to prevent neural networks from overfitting. The journal of machine learning research 15, 1 (2014), 1929\u20131958."},{"key":"e_1_3_2_2_60_1","volume-title":"Cognitive load theory","author":"Sweller John","unstructured":"John Sweller , Paul Ayres , and Slava Kalyuga . 2011. Measuring cognitive load . In Cognitive load theory . Springer , 71\u201385. John Sweller, Paul Ayres, and Slava Kalyuga. 2011. Measuring cognitive load. In Cognitive load theory. Springer, 71\u201385."},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"crossref","unstructured":"A. Tattersall and P.\u00a0S. Foord. 1996. An experimental evaluation of instantaneous self-assessment as a measure of workload.Ergonomics 39 5(1996) 740\u20138.  A. Tattersall and P.\u00a0S. Foord. 1996. An experimental evaluation of instantaneous self-assessment as a measure of workload.Ergonomics 39 5(1996) 740\u20138.","DOI":"10.1080\/00140139608964495"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"crossref","unstructured":"Sunil Thulasidasan Gopinath Chennupati Jeff Bilmes Tanmoy Bhattacharya and Sarah Michalak. 2019. On mixup training: Improved calibration and predictive uncertainty for deep neural networks. arXiv preprint arXiv:1905.11001(2019).  Sunil Thulasidasan Gopinath Chennupati Jeff Bilmes Tanmoy Bhattacharya and Sarah Michalak. 2019. On mixup training: Improved calibration and predictive uncertainty for deep neural networks. arXiv preprint arXiv:1905.11001(2019).","DOI":"10.2172\/1525811"},{"key":"e_1_3_2_2_63_1","volume-title":"Detecting pilot\u2019s engagement using fNIRS connectivity features in an automated vs. manual landing scenario. Frontiers in human neuroscience 12","author":"Verdi\u00e8re J","year":"2018","unstructured":"Kevin\u00a0 J Verdi\u00e8re , Rapha\u00eblle\u00a0 N Roy , and Fr\u00e9d\u00e9ric Dehais . 2018. Detecting pilot\u2019s engagement using fNIRS connectivity features in an automated vs. manual landing scenario. Frontiers in human neuroscience 12 ( 2018 ), 6. Kevin\u00a0J Verdi\u00e8re, Rapha\u00eblle\u00a0N Roy, and Fr\u00e9d\u00e9ric Dehais. 2018. Detecting pilot\u2019s engagement using fNIRS connectivity features in an automated vs. manual landing scenario. Frontiers in human neuroscience 12 (2018), 6."},{"key":"e_1_3_2_2_64_1","volume-title":"A meta-analysis of the n-back task while driving and its effects on cognitive workload. Transportation research part F: traffic psychology and behaviour 76","author":"von Janczewski Nikolai","year":"2021","unstructured":"Nikolai von Janczewski , Jennifer Wittmann , Arnd Engeln , Martin Baumann , and Lutz Krau\u00df . 2021. A meta-analysis of the n-back task while driving and its effects on cognitive workload. Transportation research part F: traffic psychology and behaviour 76 ( 2021 ), 269\u2013285. Nikolai von Janczewski, Jennifer Wittmann, Arnd Engeln, Martin Baumann, and Lutz Krau\u00df. 2021. A meta-analysis of the n-back task while driving and its effects on cognitive workload. Transportation research part F: traffic psychology and behaviour 76 (2021), 269\u2013285."},{"key":"e_1_3_2_2_65_1","volume-title":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2620\u20132623","author":"Yang Huijuan","year":"2015","unstructured":"Huijuan Yang , Siavash Sakhavi , Kai\u00a0Keng Ang , and Cuntai Guan . 2015 . On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification . In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2620\u20132623 . Huijuan Yang, Siavash Sakhavi, Kai\u00a0Keng Ang, and Cuntai Guan. 2015. On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2620\u20132623."},{"key":"e_1_3_2_2_66_1","volume-title":"Braahms: a novel adaptive musical interface based on users","author":"Yuksel F","unstructured":"Beste\u00a0 F Yuksel , Daniel Afergan , Evan\u00a0 M Peck , Garth Griffin , Lane Harrison , Nick\u00a0 WB Chen , Remco Chang , and Robert\u00a0 JK Jacob . 2015. Braahms: a novel adaptive musical interface based on users \u2019 cognitive state.. In NIME. 136\u2013139. Beste\u00a0F Yuksel, Daniel Afergan, Evan\u00a0M Peck, Garth Griffin, Lane Harrison, Nick\u00a0WB Chen, Remco Chang, and Robert\u00a0JK Jacob. 2015. Braahms: a novel adaptive musical interface based on users\u2019 cognitive state.. In NIME. 136\u2013139."},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858388"},{"key":"e_1_3_2_2_68_1","unstructured":"Hongyi Zhang Moustapha Cisse Yann\u00a0N Dauphin and David Lopez-Paz. 2017. mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412(2017).  Hongyi Zhang Moustapha Cisse Yann\u00a0N Dauphin and David Lopez-Paz. 2017. mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412(2017)."},{"key":"e_1_3_2_2_69_1","unstructured":"Hongyi Zhang Yann\u00a0N Dauphin and Tengyu Ma. 2019. Fixup initialization: Residual learning without normalization. arXiv preprint arXiv:1901.09321(2019).  Hongyi Zhang Yann\u00a0N Dauphin and Tengyu Ma. 2019. Fixup initialization: Residual learning without normalization. arXiv preprint arXiv:1901.09321(2019)."}],"event":{"name":"UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology","location":"Virtual Event USA","acronym":"UIST '21","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["The 34th Annual ACM Symposium on User Interface Software and Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3472749.3474743","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3472749.3474743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:35Z","timestamp":1750193315000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3472749.3474743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,10]]},"references-count":69,"alternative-id":["10.1145\/3472749.3474743","10.1145\/3472749"],"URL":"https:\/\/doi.org\/10.1145\/3472749.3474743","relation":{},"subject":[],"published":{"date-parts":[[2021,10,10]]},"assertion":[{"value":"2021-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}