An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data
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[1] Jennifer J. Vogel-Walcutt,et al. The Definition, Assessment, and Mitigation of State Boredom Within Educational Settings: A Comprehensive Review , 2012 .
[2] Dimitrios Tzovaras,et al. Automatic Recognition of Boredom in Video Games Using Novel Biosignal Moment-Based Features , 2011, IEEE Transactions on Affective Computing.
[3] L. Mandolesi. Physiology of Behavior , 2002 .
[4] Bao-Liang Lu,et al. Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks , 2015, IEEE Transactions on Autonomous Mental Development.
[5] J. Eastwood,et al. Development and Validation of the Multidimensional State Boredom Scale , 2013, Assessment.
[6] Minjuan Wang,et al. Affective e-Learning: Using "Emotional" Data to Improve Learning in Pervasive Learning Environment , 2009, J. Educ. Technol. Soc..
[7] Nasser Oroujlou,et al. Motivation, attitude, and language learning , 2011 .
[8] Dimitrios Tzovaras,et al. Identifying Psychophysiological Correlates of Boredom and Negative Mood Induced during HCI , 2010, B-Interface.
[9] Bao-Liang Lu,et al. Identifying Stable Patterns over Time for Emotion Recognition from EEG , 2016, IEEE Transactions on Affective Computing.
[10] Teemu H. Laine,et al. Machine learning approaches for boredom classification using EEG , 2019, Journal of Ambient Intelligence and Humanized Computing.
[11] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[12] H. Jasper. Report of the committee on methods of clinical examination in electroencephalography , 1958 .
[13] Angela L. Duckworth,et al. Boring but important: a self-transcendent purpose for learning fosters academic self-regulation. , 2014, Journal of personality and social psychology.
[14] Lannie Kanevsky. A COMPARATIVE STUDY OF CHILDREN'S LEARNING IN THE ZONE OF PROXIMAL DEVELOPMENT , 1994 .
[15] P. Lang. International affective picture system (IAPS) : affective ratings of pictures and instruction manual , 2005 .
[16] Cristina Conati,et al. Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System , 2014, Intelligent Tutoring Systems.
[17] M. Fenske,et al. The Unengaged Mind , 2012, Perspectives on psychological science : a journal of the Association for Psychological Science.
[18] Bao-Liang Lu,et al. Emotion classification based on gamma-band EEG , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[19] George Tomlinson,et al. Can Routine Laboratory Tests Discriminate between Severe Acute Respiratory Syndrome and Other Causes of Community-Acquired Pneumonia? , 2005, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[20] Stephen Ashwal,et al. Child Neurology in the 20th Century , 2003, Pediatric Research.
[21] Regan L. Mandryk,et al. A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies , 2007, Int. J. Hum. Comput. Stud..
[22] Valerie C. Scanlon,et al. Essentials of Anatomy and Physiology , 1991 .
[23] Byoung-Jun Park,et al. Analysis of physiological signals for recognition of boredom, pain, and surprise emotions , 2015, Journal of Physiological Anthropology.
[24] J. Russell. A circumplex model of affect. , 1980 .
[25] Heather C. Lench,et al. On the Function of Boredom , 2013, Behavioral sciences.
[26] Teemu Henrikki Laine,et al. Detecting boredom from eye gaze and EEG , 2018, Biomed. Signal Process. Control..
[27] Daniel R. Fesenmaier,et al. Measuring Emotions in Real Time , 2015 .
[28] Scotty D. Craig,et al. Integrating Affect Sensors in an Intelligent Tutoring System , 2004 .
[29] E. Vesterinen,et al. Affective Computing , 2009, Encyclopedia of Biometrics.
[30] Arthur C. Graesser,et al. Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments , 2010, Int. J. Hum. Comput. Stud..
[31] Wolzt,et al. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2003, The Journal of the American College of Dentists.
[32] L. Feldman. Variations in the Circumplex Structure of Mood , 1995 .
[33] Ruimin Shen,et al. Exploratory Research on an Affective e-Learning Model , 2007 .
[34] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[35] Yuan-Pin Lin,et al. EEG-Based Emotion Recognition in Music Listening , 2010, IEEE Transactions on Biomedical Engineering.
[36] Kristina Höök,et al. eMoto: emotionally engaging interaction , 2004, Personal and Ubiquitous Computing.
[37] Martin J Shipley,et al. Bored to death? , 2010, International journal of epidemiology.
[38] BakerRyan S. J. d.,et al. Better to be frustrated than bored , 2010 .
[39] William T. Thompson,et al. Effects of Shift Work and Sustained Operations: Operator Performance in Remotely Piloted Aircraft (OP-REPAIR) , 2006 .
[40] Christiane,et al. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. , 2004, Journal international de bioethique = International journal of bioethics.