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A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios
16 references·1 citing·49 second hop
A Machine Learning Approach to Leverage Individual Keyboard and Mouse Interaction Behavior From Multiple Users in Real-World Learning Scenarios (2018)A Machine Learning Approach to Leverage I…Automatic Detection of Learning-Centered Affective States in the Wild (2015)Automatic Detection of Learni…A Review and Meta-Analysis of Multimodal Affect Detection Systems (2015)A Review and Meta-Analysis of…Identifying emotion by keystroke dynamics and text pattern analysis (2014)Identifying emotion by keystr…Emotions and Motivation in Learning and Performance (2013)Emotions and Motivation in Le…A review of emotion recognition methods based on keystroke dynamics and mouse movements (2013)A review of emotion recogniti…Academic self‐efficacy in study‐related skills and behaviours: Relations with learning‐related emotions and academic success (2012)Academic self‐efficacy in stu…A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing (2012)A survey of methods for data …Identifying emotional states using keystroke dynamics (2011)Identifying emotional states …Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…KNIME - the Konstanz information miner (2009)KNIME - the Konstanz informat…Students, tasks and emotions: Identifying the contribution of emotions to students' reading of popular culture and popular science texts (2005)Students, tasks and emotions:…Affective Computing—A Rationale for Measuring Mood With Mouse and Keyboard (2003)Affective Computing—A Rationa…International Affective Picture System (IAPS) : Technical Manual and Affective Ratings (1995)International Affective Pictu…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Measuring emotion: The self-a…Differences in Shame and Pride as a Function of Children's Gender and Task Difficulty (1992)Differences in Shame and Prid…A circumplex model of affect. (1980)A circumplex model of affect.Does Keystroke Dynamics tell us about Emotions? A Systematic Literature Review and Dataset Construction (2020)Does Keystroke Dynamics tell …An argument for basic emotions (1992)Under pressure (2014)Emotions and Affect in Human Factors and Human–Computer Interaction: Taxonomy, Theories, Approaches, and Methods (2017)How Is Your User Feeling? Inferring Emotion Through Human-Computer Interaction Devices1 (2017)Affective Computing (1997)Core affect and the psychological construction of emotion. (2003)Experience Sampling Method: Measuring the Quality of Everyday Life (2006)Detecting Work Stress in Offices by Combining Unobtrusive Sensors (2016)A survey on big data-driven digital phenotyping of mental health (2019)A power primer. (1992)Trim and Fill: A Simple Funnel‐Plot–Based Method of Testing and Adjusting for Publication Bias in Meta‐Analysis (2000)Introduction to Meta‐Analysis (2009)Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos (2018)ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection (2018)AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019)Expectancy–Value Theory of Achievement Motivation (2000)The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. (2001)Social Foundations of Thought and Action (2002)The study, evaluation, and improvement of university student self-efficacy (2015)Teacher support and math engagement: roles of academic self-efficacy and positive emotions (2017)Interaction and learning engagement in online learning: The mediating roles of online learning self-efficacy and academic emotions (2022)The expression of the emotions in man and animals. (1872)A Coefficient of Agreement for Nominal Scales (1960)Emotion And Adaptation (1991)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Facial Expression Analysis under Partial Occlusion (2018)The Principles of Psychology (1891)Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts (1975)The robust beauty of improper linear models in decision making. (1979)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)The nature and measurement of meaning. (1952)The Measurement of Meaning (1957)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Four Factor Index of Social Status (1975)The psychology of sex differences (1975)A social-cognitive approach to motivation and personality. (1988)Early-occurring Maternal Depression and Maternal Negativity in Predicting Young Children’s Emotion Regulation and Socioemotional Difficulties (2007)Development of a FACS-verified set of basic and self-conscious emotion expressions. (2009)The Psychology of Social Status (2014)Blending Big Data Analytics: Review on Challenges and a Recent Study (2019)Towards reproducible computational drug discovery (2020)Methods included (2022)A cognitive-motivational analysis of anxiety (1998)Attentional Biases for Negative Interpersonal Stimuli in Clinical Depression. (2004)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)
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References

  • 1980A circumplex model of affect.16,320 cited
  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 1995International Affective Picture System (IAPS) : Technical Manual and Affective Ratings2,892 cited
  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited
  • 2009KNIME - the Konstanz information miner1,190 cited
  • 2015A Review and Meta-Analysis of Multimodal Affect Detection Systems631 cited
  • 2011Identifying emotional states using keystroke dynamics364 cited
  • 2012Academic self‐efficacy in study‐related skills and behaviours: Relations with learning‐related emotions and academic success313 cited
  • 1992Differences in Shame and Pride as a Function of Children's Gender and Task Difficulty233 cited
  • 2003Affective Computing—A Rationale for Measuring Mood With Mouse and Keyboard197 cited
  • 2005Students, tasks and emotions: Identifying the contribution of emotions to students' reading of popular culture and popular science texts190 cited
  • 2015Automatic Detection of Learning-Centered Affective States in the Wild178 cited
  • 2012A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing163 cited
  • 2013Emotions and Motivation in Learning and Performance

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140 cited
  • 2013A review of emotion recognition methods based on keystroke dynamics and mouse movements130 cited
  • 2014Identifying emotion by keystroke dynamics and text pattern analysis95 cited
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    • 2020Does Keystroke Dynamics tell us about Emotions? A Systematic Literature Review and Dataset Construction35 cited