GUX-Analyzer: A Deep Multi-modal Analyzer Via Motivational Flow For Game User Experience

ZHITAO LIU, School of Aeronautics And Astronautics, University of Electronic Science and Technology of China, China NING XIE∗, Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, China GUOBIAO YANG, Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, China JIALE DOU, Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, China LANXIAO HUANG, Timi L1 Studio of Tencent Corp, Tencent, China GUANG YANG, Timi L1 Studio of Tencent Corp, Tencent, China LIN YUAN, Timi L1 Studio of Tencent Corp, Tencent, China

[1]  William Emerson,et al.  The Mathematical Principles of Natural Philosophy , 2013 .

[2]  Lennart E. Nacke,et al.  Affective Ludology, Flow and Immersion in a First- Person Shooter: Measurement of Player Experience , 2009, ArXiv.

[3]  Dieter Kleinböhl,et al.  Physiological aspects of flow experiences: Skills-demand-compatibility effects on heart rate variability and salivary cortisol☆ , 2011 .

[4]  Paolo Melillo,et al.  Discrimination power of long-term heart rate variability measures for chronic heart failure detection , 2011, Medical & Biological Engineering & Computing.

[5]  Andrew Begel,et al.  Using psycho-physiological measures to assess task difficulty in software development , 2014, ICSE.

[6]  R. Homan,et al.  Cerebral location of international 10-20 system electrode placement. , 1987, Electroencephalography and clinical neurophysiology.

[7]  Charlotte Wiberg,et al.  User Experience Design for Inexperienced Gamers: GAP - Game Approachability Principles , 2010, Evaluating User Experience in Games.

[8]  Marc Hassenzahl,et al.  User experience - a research agenda , 2006, Behav. Inf. Technol..

[9]  Hamidreza Rezaee-Dehsorkh,et al.  Level-crossing sampling: principles, circuits, and processing for healthcare applications , 2020 .

[10]  J. Keller.  Motivational Design for Learning and Performance: The ARCS Model Approach , 2009 .

[11]  H. Marsh,et al.  Development and Validation of a Scale to Measure Optimal Experience: The Flow State Scale , 1996 .

[12]  Andrew K. Przybylski,et al.  The Motivational Pull of Video Games: A Self-Determination Theory Approach , 2006 .

[13]  Marco Maier,et al.  DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks , 2019, AAMAS.

[14]  Alexander Maedche,et al.  Got Flow?: Using Machine Learning on Physiological Data to Classify Flow , 2018, CHI Extended Abstracts.

[15]  J. Matias Kivikangas,et al.  Psychophysiology of flow experience : An explorative study , 2006 .

[16]  K. H. Kim,et al.  Emotion recognition system using short-term monitoring of physiological signals , 2004, Medical and Biological Engineering and Computing.

[17]  I. Elamvazuthi,et al.  Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques , 2010, ArXiv.

[18]  Regina Bernhaupt,et al.  Evaluating User Experience in Games - Concepts and Methods , 2010, Human-Computer Interaction Series.

[19]  A. Isen,et al.  Positive affect facilitates creative problem solving. , 1987, Journal of personality and social psychology.

[20]  D. Hoang.  FLOW: The Psychology of Optimal Experience , 2018 .

[21]  Lennart E. Nacke,et al.  Biometric storyboards: visualising game user research data , 2012, CHI Extended Abstracts.

[22]  J. Pépin,et al.  Chapter 14 – Cardiovascular Physiology: Autonomic Control in Health and in Sleep Disorders , 2017 .

[23]  F. Ullén,et al.  The psychophysiology of flow during piano playing. , 2010, Emotion.

[24]  Lennart E. Nacke,et al.  Contextual influences on mobile player experience - A game user experience model , 2013, Entertain. Comput..

[25]  Dimitrios Tzovaras,et al.  Automatic Recognition of Boredom in Video Games Using Novel Biosignal Moment-Based Features , 2011, IEEE Transactions on Affective Computing.

[26]  Pattie Maes,et al.  AttentivU: a Biofeedback Device to Monitor and Improve Engagement in the Workplace , 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[27]  Guillaume Chanel,et al.  Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[28]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[29]  Alessandro De Gloria,et al.  > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < , 2022 .

[30]  Nicola Baumann,et al.  Seeing and mastering difficulty: The role of affective change in achievement flow , 2010 .

[31]  M. Bradley,et al.  Measuring emotion: the Self-Assessment Manikin and the Semantic Differential. , 1994, Journal of behavior therapy and experimental psychiatry.

[32]  윤재량.  2004 , 2019, The Winning Cars of the Indianapolis 500.

[33]  Thais Piassa Rogatko.  The Influence of Flow on Positive Affect in College Students , 2009 .

[34]  Jianguo Ding,et al.  Flow Experience Detection and Analysis for Game Users by Wearable-Devices-Based Physiological Responses Capture , 2021, IEEE Internet of Things Journal.

[35]  Giovanni B. Moneta,et al.  On the Measurement and Conceptualization of Flow , 2012 .

[36]  M. Csíkszentmihályi,et al.  Optimal experience: Psychological studies of flow in consciousness. , 1988 .

[37]  Damijan Miklavcic,et al.  Note atlab-based tool for ECG and HRV analysis , 2014 .

[38]  Peta Wyeth,et al.  GameFlow: a model for evaluating player enjoyment in games , 2005, CIE.

[39]  Brian Bruya.  Effortless attention : a new perspective in the cognitive science of attention and action , 2010 .

[40]  A. Isen,et al.  The Influence of Positive Affect on Intrinsic and Extrinsic Motivation: Facilitating Enjoyment of Play, Responsible Work Behavior, and Self-Control , 2005 .

[41]  A. Erez,et al.  The influence of positive affect on the components of expectancy motivation. , 2002, The Journal of applied psychology.

[42]  Lennart E. Nacke,et al.  Flow and immersion in first-person shooters: measuring the player's gameplay experience , 2008, Future Play.

[43]  Sigal G. Barsade,et al.  Affect and managerial performance: A test of the sadder-but-wiser vs. happier-and-smarter hypotheses. , 1993 .

[44]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[45]  Yann LeCun,et al.  Learning a similarity metric discriminatively, with application to face verification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[46]  Regan L. Mandryk,et al.  A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies , 2007, Int. J. Hum. Comput. Stud..

[47]  신기덕.  2010 , 2019, The Winning Cars of the Indianapolis 500.

[48]  Joeri Hofmans,et al.  Relating Specific Emotions to Intrinsic Motivation: On the Moderating Role of Positive and Negative Emotion Differentiation , 2014, PloS one.