Improving Gameplay with Game Metrics and Player Metrics

Designing and developing video games is typically a long and demanding process. The overall aim of developing a game that is enjoyable and rewarding to play for everyone is a complex one due to the diversity of players who may potentially interact with the game. Understanding how players interact and behave during gameplay is of vital importance to developers. An accurate understanding of the gameplay experience during development can help identify and resolve any potential problem areas before release, leading to a better player experience and arguably, greater game review scores and sales. There are two main sources from which potentially useful data can be extracted: the video game (game metrics), and the player (player metrics).

[1]  J. Cacioppo,et al.  Handbook Of Psychophysiology , 2019 .

[2]  Lennart E. Nacke,et al.  Log Who's Playing: Psychophysiological Game Analysis Made Easy through Event Logging , 2008, Fun and Games.

[3]  Katherine Isbister,et al.  Using Biometric Measurement to Help Develop Emotionally Compelling Games , 2008 .

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

[5]  Lennart E. Nacke,et al.  More than a feeling: Measurement of sonic user experience and psychophysiology in a first-person shooter game , 2010, Interact. Comput..

[6]  K. Isbister,et al.  Chapter 14 – Physiological Measures for Game Evaluation* , 2008 .

[7]  Pejman Mirza-Babaei,et al.  Biometric Storyboards: visualising meaningful gameplay events , 2011 .

[8]  H. Simon,et al.  A theory of the serial position effect. , 1962, British journal of psychology.

[9]  Andrea Bonarini,et al.  Enjoyment recognition from physiological data in a car racing game , 2010, AFFINE '10.

[10]  Marko Turpeinen,et al.  Spatial Presence and Emotions during Video Game Playing: Does It Matter with Whom You Play? , 2006, PRESENCE: Teleoperators and Virtual Environments.

[11]  Pejman Mirza-Babaei,et al.  Understanding the Contribution of Biometrics to Games User Research , 2011, DiGRA Conference.

[12]  J. Matias,et al.  Review on psychophysiological methods in game research , 2010 .

[13]  Georgios N. Yannakakis,et al.  Correlation between heart rate, electrodermal activity and player experience in first-person shooter games , 2010, Sandbox '10.

[14]  Alessandro Canossa,et al.  Towards gameplay analysis via gameplay metrics , 2009, MindTrek '09.

[15]  Lennart E. Nacke Directions in Physiological Game Evaluation and Interaction , 2011 .

[16]  K. Kallinen,et al.  Phasic Emotional Reactions to Video Game Events: A Psychophysiological Investigation , 2006 .

[17]  Graham McAllister,et al.  Understanding Player Experience using Sequential Analysis , 2011, DiGRA Conference.

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

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

[20]  Regan L. Mandryk,et al.  A continuous and objective evaluation of emotional experience with interactive play environments , 2006, CHI.

[21]  Katherine Isbister,et al.  Game Usability: Advancing the Player Experience , 2008 .

[22]  Georgios N. Yannakakis,et al.  Entertainment capture through heart rate activity in physical interactive playgrounds , 2008, User Modeling and User-Adapted Interaction.