Exploring the Weak Association between Flow Experience and Performance in Virtual Environments

Many studies conducted in non-virtual activities have shown that flow significantly influences performance, yet studies in virtual activities often reveal only a weak association. This paper begins by building a theoretical explanatory model, and then conducts 3 empirical studies to explore this question. Study 1 exams the mechanism of weak association in two virtual activities. Study 2 tests the effectiveness of a potential approach to strengthen this association. In Study 3 we applied our proposed model and design approach to optimize a VR tennis game. Results show that the influence of flow on performance was not significant in those virtual activities where the primary task and the operation of interactive artifacts were less congruent such that the artifacts can lead to flow experience that is independently of the primary task. Our research offers a theoretical and empirical basis on how to optimize virtual environment design and maximize positive effect of the flow experience.

[1]  Jari Takatalo,et al.  Components of human experience in virtual environments , 2008, Comput. Hum. Behav..

[2]  S. Engeser,et al.  Flow, performance and moderators of challenge-skill balance , 2008 .

[3]  Raymond MacDonald,et al.  Creativity and flow in musical composition: an empirical investigation , 2006 .

[4]  Susan A. Jackson,et al.  Psychological Antecedents of Flow in Recreational Sport , 1995 .

[5]  Tsung-Hsien Kuo,et al.  How can one amplify the effect of e-learning? An examination of high-tech employees' computer attitude and flow experience , 2010, Comput. Hum. Behav..

[6]  Chenglei Yang,et al.  Enabling Participatory Design of 3D Virtual Scenes on Mobile Devices , 2017, WWW.

[7]  Peta Wyeth,et al.  Natural mapping and intuitive interaction in videogames , 2014, CHI PLAY.

[8]  Ting-Chia Hsu,et al.  Learning English with Augmented Reality: Do learning styles matter? , 2017, Comput. Educ..

[9]  Fatma Burcu Topu,et al.  Retention and flow under guided and unguided learning experience in 3D virtual worlds , 2015, Comput. Hum. Behav..

[10]  J. Robert Grove,et al.  Peak moments in sport: a literature review. , 1991 .

[11]  M. Csíkszentmihályi Flow: The Psychology of Optimal Experience , 1990 .

[12]  J. Schüler,et al.  Arousal of Flow Experience in a Learning Setting and Its Effects on Exam Performance and Affect , 2007 .

[13]  Han-Chao Chang,et al.  The effect of flow experience on player loyalty in mobile game application , 2016, Comput. Hum. Behav..

[14]  J. Schüler,et al.  The rewarding effect of flow experience on performance in a marathon race , 2009 .

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

[16]  Stefan Engeser,et al.  Advances in Flow Research , 2012 .

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

[18]  Kalle Jegers,et al.  Pervasive game flow: understanding player enjoyment in pervasive gaming , 2007, CIE.

[19]  Chenglei Yang,et al.  Effects of Pedagogical Agent's Personality and Emotional Feedback Strategy on Chinese Students' Learning Experiences and Performance: A Study Based on Virtual Tai Chi Training Studio , 2016, CHI.

[20]  Hyunseung Choo,et al.  Exploring the user experience of three-dimensional virtual learning environments , 2013, Behav. Inf. Technol..

[21]  O. Stoll,et al.  Flow-Erleben beim Marathonlauf , 2005 .

[22]  Herbert W. Marsh,et al.  Psychological Correlates of Flow in Sport , 1998 .

[23]  Minhong Wang,et al.  Using 3D virtual environments to facilitate students in constructivist learning , 2013, Decis. Support Syst..

[24]  Wei-Hua Chieng,et al.  Measuring virtual experience in a three-dimensional virtual reality interactive simulator environment: a structural equation modeling approach , 2014, Virtual Reality.

[25]  Shisheng Zhou,et al.  A framework for physiological indicators of flow in VR games: construction and preliminary evaluation , 2016, Personal and Ubiquitous Computing.

[26]  Ron Tamborini,et al.  Defining Media Enjoyment as the Satisfaction of Intrinsic Needs , 2010 .

[27]  Jerry Chih-Yuan Sun,et al.  The benefits of a challenge: student motivation and flow experience in tablet-PC-game-based learning , 2015, Interact. Learn. Environ..

[28]  Patrick R. Thomas,et al.  Relationships between Flow, Self-Concept, Psychological Skills, and Performance , 2001 .

[29]  F. Ullén,et al.  Physiological correlates of the flow experience during computer game playing. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[30]  Paul van Schaik,et al.  Measuring flow experience in an immersive virtual environment for collaborative learning , 2012, J. Comput. Assist. Learn..

[31]  Ulrich Schiefele,et al.  Die Bedingungen des Flow-Erlebens in einer experimentellen Spielsituation , 2006 .

[32]  S. Jackson,et al.  Positive Performance States of Athletes: Toward a Conceptual Understanding of Peak Performance , 1992 .

[33]  H. Bless,et al.  Bulletin Personality and Social Psychology Flow and Regulatory Compatibility: an Experimental Approach to the Flow Model of Intrinsic Motivation on Behalf Of: Society for Personality and Social Psychology , 2022 .

[34]  Regan L. Mandryk,et al.  Control your game-self: effects of controller type on enjoyment, motivation, and personality in game , 2013, CHI.

[35]  Chenglei Yang,et al.  Supporting Easy Physical-to-Virtual Creation of Mobile VR Maze Games: A New Genre , 2017, CHI.

[36]  Li-Chun Wang,et al.  The effects of game strategy and preference‐matching on flow experience and programming performance in game‐based learning , 2010 .

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

[38]  Regina Vollmeyer,et al.  Understanding the psychophysiology of flow: A driving simulator experiment to investigate the relationship between flow and heart rate variability , 2015, Comput. Hum. Behav..

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

[40]  Cristina Calvo-Porral,et al.  Exploring technology satisfaction: An approach through the flow experience , 2017, Comput. Hum. Behav..

[41]  Alec M. Bodzin,et al.  A mixed methods assessment of students' flow experiences during a mobile augmented reality science game , 2013, J. Comput. Assist. Learn..

[42]  Nicole C. Krämer,et al.  "It doesn't matter what you are!" Explaining social effects of agents and avatars , 2010, Comput. Hum. Behav..

[43]  Shi Bing A Study on the Appraisal Criteria of University Students' 24-stroke Taiji , 2003 .

[44]  Ping Zhang,et al.  A person-artefact-task (PAT) model of flow antecedents in computer-mediated environments , 2003, Int. J. Hum. Comput. Stud..

[45]  J. Bailenson,et al.  Virtual Humans and Persuasion: The Effects of Agency and Behavioral Realism , 2007 .

[46]  Johannes Keller,et al.  Locus of control and the flow experience: An experimental analysis , 2008 .

[47]  Xitao Fan,et al.  Sensitivity of Fit Indexes to Misspecified Structural or Measurement Model Components: Rationale of Two-Index Strategy Revisited , 2005 .

[48]  M. Csíkszentmihályi,et al.  Flow Theory and Research , 2009 .

[49]  Wilfried Admiraal,et al.  The concept of flow in collaborative game-based learning , 2011, Comput. Hum. Behav..

[50]  Risto Rajala,et al.  Flow in context: Development and validation of the flow experience instrument for social networking , 2016, Comput. Hum. Behav..