Measuring Engagement of Spectators of Social Digital Games
| Autor: | Raphaëlle Brissette, Sylvain Sénécal, Emma Rucco, Pierre-Majorique Léger, François Courtemanche |
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| Rok vydání: | 2021 |
| Předmět: |
Motivation
Focus (computing) General Immunology and Microbiology Computer science General Chemical Engineering General Neuroscience ComputingMilieux_PERSONALCOMPUTING sync Context (language use) Space (commercial competition) General Biochemistry Genetics and Molecular Biology Synchronization Field (computer science) Software portability Interactivity Video Games Human–computer interaction Surveys and Questionnaires Humans Self Report Arousal |
| Zdroj: | Journal of Visualized Experiments. |
| ISSN: | 1940-087X |
| Popis: | The goal of this methodology is to assess explicit and implicit measures of engagement of spectators during social digital games in a group of participants with motion tracking systems. In the context of games that are not confined within a screen, measuring the different dimensions of engagement such as physiological arousal can be challenging. The focus of the study is made on the spectators of the game and the differences in their engagement according to interactivity. Engagement is measured with physiological and self-reported arousal, as well as an engagement questionnaire at the end of the experiment. Physiological arousal is measured with electrodermal activity (EDA) sensors that record the data on a portable device (EDA box). Portability was essential because of the nature of the game, which is akin to a life-size pong and includes many participants that move. To have an overview of the events of the game, three cameras are used to film three angles of the playing field. To synchronize the EDA data with events happening in the game, boxes with digital numbers are used and put in the frames of cameras. Signals are sent from a sync box simultaneously to the EDA boxes and to light boxes. The light boxes show the synchronization numbers to the cameras, and the same numbers are also logged on the EDA data file. That way, it is possible to record EDA of many people that move freely in a large space and synchronize this data with events in the game. In our particular study, we were able to assess the differences in arousal for the different conditions of interactivity. One of the limitations of this method is that the signals cannot be sent farther than 20 meters away. This method is, therefore, appropriate for recording physiological data in games with an unlimited number of players but is restricted to a limited space. |
| Databáze: | OpenAIRE |
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