Abstract
To understand the impact of emotionally driven games on player experience, we developed a procedural horror game (Vanish) capable of run-time level, asset, and event generation. Vanish was augmented to interpret players’ physiological data as a simplified emotional state, mapping it to a set of adaptation rules that modify the player experience. To explore the effects of adaptation mechanisms on player experience, we conducted a mixed-methods study on three different versions of the game, two of which integrated varying biofeedback mechanisms. Players’ affective experiences were objectively measured by analysing physiological data. Additionally, subjective experience was recorded through the use of the Game Experience Questionnaire. Our study confirmed that biofeedback functionality had a statistically significant effect on the ratings of player experience dimensions: immersion, tension, positive affect, and negative affect. Furthermore, participants reported noticeable differences in player experience, favouring the added depth present in the biofeedback-enabled iterations of the game. In the future, these conclusions will help to develop more immersive and engaging player experiences.
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Notes
Gameplay mechanics are constructs of rules intended to provide players with a limited set of possible interactions with the game world, determining the complexity and level of player interaction allowed to the player. For a more in-depth study, we refer the reader to [57].
Vanish is available for free on IndieDB (http://www.indiedb.com/games/vanish) for both Mac and PC. It is currently ranked #8 out of a total of 17,754 games, as of July, \(15{\mathrm{th}}\), 2014.
While we did not have the required hardware, the game allows the usage of an Oculus Rift device for orientation and omnidirectional treadmill for movement. We find the idea of analysing the effects of modulating movement speed and orientation when using these devices particularly interesting.
Game AI is a term referring to a specific subtype of AI usually used in games. It usually refers to techniques create intelligent-like behaviours on behalf of non-player characters (NPCs), such as player interactions, strategy formulating or pathfinding. Sometimes it extends to other areas of the game world, such as terrain or level generation in procedural content generation or player experience or behaviour modelling. A game AI director is a type of system that oversees the AI of most aspects of the game, including assigning group strategies to several NPCs to simulate coordination [58].
This was an intended feature, as dynamic level layouts are somewhat common features in survival horror games. Since the game revolves heavily around the game character’s sanity (or lack thereof), we decided to correlate this event with the player character’s mental deterioration, thus helping to convey this notion to the player and, at the same time, tap into his own psyche in an attempt to subconsciously link the two.
As we previously mentioned, players were fitted with the physiological apparatus on all gaming conditions to avoid bias effects.
Abbreviations
- ACC:
-
Accelerometer
- AID:
-
AI director
- ANOVA:
-
Analysis of variance
- AV:
-
Arousal/valence
- BF:
-
Biofeedback
- BP:
-
Blood pressure
- BVP:
-
Blood volume pulse
- DBF:
-
Direct biofeedback
- DDA:
-
Dynamic difficulty adjustment
- DG:
-
Design grammar
- ECG:
-
Electrocardiogram
- EDA:
-
Electrodermal activity
- E-IBF:
-
Equilibria indirect biofeedback
- EMG:
-
Electromyography
- FPS:
-
First-person shooter
- GEQ:
-
Game Experience Questionnaire
- HR:
-
Heart rate
- HRV:
-
Heart rate variability
- IBF:
-
Indirect biofeedback
- IBI:
-
Inter-beat interval
- ICG:
-
Impedance cardiogram
- NN:
-
Neural network
- PCG:
-
Procedural content generation
- PIERS:
-
Physiological inductive emotional recognition system
- PPG:
-
Photoplethysmogram
- PST:
-
(Body) posture
- RSP:
-
Respiration
- SC:
-
Skin conductance
- S-IBF:
-
Symbiotic indirect biofeedback
- SS:
-
Study size
- ST:
-
Skin temperature
- TPS:
-
Third-person shooter
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Acknowledgments
This research was partially supported by the Portuguese Foundation for Science and Technology (FCT) through the SFRH/BD/77688/2011 scholarship. We would like to thank Samantha Stahlke for proofreading an earlier version of the paper. Dr. Nacke thanks NSERC and SSHRC for funding.
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Appendices
Appendix 1: Rules for mapping the physiological metrics into AV ratings
The following algorithm was applied on top of the regressed physiological metrics to convert regressed skin conductance (RSC), regressed heart rate (RHR) and regressed electromyography \((REMG_{ZYG}\) and \(REMG_{CORR}\)) into arousal and valence.
Appendix 2: Detailed break-down of players’ emotional states by demographic and gaming conditions
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Nogueira, P.A., Torres, V., Rodrigues, R. et al. Vanishing scares: biofeedback modulation of affective player experiences in a procedural horror game. J Multimodal User Interfaces 10, 31–62 (2016). https://doi.org/10.1007/s12193-015-0208-1
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DOI: https://doi.org/10.1007/s12193-015-0208-1
Keywords
- Design
- Experimentation
- Human factors
- Measurement
- Biofeedback
- Affective computing
- Adaptive horror games
- Psychophysiology
- Games user research
- Affective gaming
- Physiological input
- Entertainment computing
- Emotional regulation