Phasic Emotional Reactions to Video Game Events: A Psychophysiological Investigation

Ravaja, Niklas; Saari, Timo; Salminen, Matti; Laarni, Jari; Kallinen, Kari

doi:10.1207/s1532785xmep0804_2

Cited by 198 publications

(150 citation statements)

References 42 publications

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“…He found positive facial EMG activity to be higher during positive events, while negative facial EMG activity was greater during negative events [5,6]. Ravaja et al [17] also showed a relationship between in-game events and phasic responses in GSR, EMG and heart rate acceleration, and Nacke et al [14] showed that challenging game situations evoke positive affect and high arousal in players as measured by GSR and EMG. Finally, although there are significant individual differences in physiological responses, researchers have demonstrated success in the normalization of GSR [11] and EMG [6] data for between-participant comparisons.…”

Section: Related Workmentioning

confidence: 99%

Influencing Experience: The Effects of Reading Game Reviews on Player Experience

Livingston

Nacke

Mandryk

2011

Entertainment Computing – ICEC 2011

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Abstract. Game reviews are used by game developers for making business decisions and measuring the success of a title, and have been shown to affect player perception of game quality. We conducted a study where players read positive or negative reviews of a game before playing, and show that the valence of review text affected game ratings and that these differences could not be explained by mediating changes in mood. Although we show predictable changes in player experience over the course of the study (measured objectively through physiological sensors), there were no objective differences in experience depending on review valence. Our results suggest that reading reviews does not directly affect play experience, but rather is a post-play cognitive rationalization of the experience with the content of the review. Our results are important for understanding player experience and to the game industry where reviews and user forums affect a game's commercial success.

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Section: Related Workmentioning

confidence: 99%

Influencing Experience: The Effects of Reading Game Reviews on Player Experience

Livingston

Nacke

Mandryk

2011

Entertainment Computing – ICEC 2011

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“…To overcome the limitations that self-report measures of emotional responses in games have, it is of great value to assess specific game events in more detail, since some game events may trigger different or contradictory emotional physiological responses [10]. In comparison to studies investigating only tonic measures, our objective was to create a system that allows reporting of phasic psychophysiological responses at game events.…”

Section: Introductionmentioning

confidence: 99%

Log Who’s Playing: Psychophysiological Game Analysis Made Easy through Event Logging

2008

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Abstract. Modern psychophysiological game research faces the problem that for understanding the computer game experience, it needs to analyze game events with high temporal resolution and within the game context. This is the only way to achieve greater understanding of gameplay and the player experience with the use of psychophysiological instrumentation. This paper presents a solution to recording in-game events with the frequency and accuracy of psychophysiological recording systems, by sending out event byte codes through a parallel port to the psychophysiological signal acquisition hardware. Thus, psychophysiological data can immediately be correlated with in-game data. By employing this system for psychophysiological game experiments, researchers will be able to analyze gameplay in greater detail in future studies.

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“…For example, Ravaja et al studied how gamers' emotions vary in response to certain in-game events [4,5], with their results confirming that players' positive emotions are highly related to the achievements acquired, while the negative emotions are correlated with wounds and death experienced in the game [5]. In [18], Lee et al assessed whether all computer games are equally friendly to the cloud gaming architecture by quantifying the amount of frustration experienced due to the inevitable latency in cloud gaming.…”

Section: B Facial Emg Measurementmentioning

confidence: 99%

“…We find that CS and β has a negative correlation (with a coefficient −0.2) while ZM and β has a positive correlation (with a coefficient 0.38), which is reasonable given that negative emotion (CS) should decrease a game's addictiveness and positive emotion (ZM) should increase a game's addictiveness. The reason why CS has a weaker correlation with β than ZM may be because gamers can also be entertained when they feel a release from the negative emotional responses [4].…”

Section: Forecasting Game Addictivenessmentioning

confidence: 99%

“…Players stay in a game if they can continuously have fun in the game, which is decided collectively by a myriad of factors. Some of the factors are measurable, such as the game server and software reliability, frequency of lags [2], and number of cheating incidents [3], while others are unmeasurable, such as the artistic design, sense of achievement provided [4,5], and even in-game atmosphere created by the combination of all the visual and audible elements [6]. To clarify further discussion, we define the capability that a game retains players once they join the game as the addictiveness of the game, as it quantifies how probable the game can make a player addicted to it.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Forecasting online game addictiveness

Lou¹,

Chen²,

Hsu³

et al. 2012

2012 11th Annual Workshop on Network and Systems Support for Games (NetGames)

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Abstract-Online gaming has now become an extremely competitive business. As there are so many game titles released every month, gamers have become more difficult to please and fickle in their allegiances. Therefore, it would be beneficial if we could forecast how addictive a game is before publishing it on the market. With the capability of game addictiveness forecasting, developers will be able to continuously adjust the game design and publishers will be able to assess the potential market value of a game in its early development stages.In this paper, we propose to forecast a game's addictiveness based on players' emotional responses when they are first exploring the game. Based on the account activity traces of 11 commercial games, we develop a forecasting model that predicts a game's addictiveness index according to electromyographic measures of players' two facial muscles. We hope that with our methodology, the game industry could optimize the odds of successful investments and target more accurately the provision of a better entertaining experience.

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Phasic Emotional Reactions to Video Game Events: A Psychophysiological Investigation

Cited by 198 publications

References 42 publications

Influencing Experience: The Effects of Reading Game Reviews on Player Experience

Influencing Experience: The Effects of Reading Game Reviews on Player Experience

Log Who’s Playing: Psychophysiological Game Analysis Made Easy through Event Logging

Forecasting online game addictiveness

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