Improving Engagement Assessment in Gameplay Testing Sessions using IoT Sensors

Improving Engagement Assessment in Gameplay Testing Sessions using IoT Sensors. Politowski, C., Petrillo, F., & Gu�h�neuc, Y. In Morales, R., Saborido, R., Humayoun, S. R., & Gu�h�neuc, Y., editors, Proceedings of the 2nd ICSE International Workshop on Software Engineering Research and Practices for the Internet of Things (SERP4IoT), pages 655–659, May, 2020. ACM Press. Short paper. 5 pages.

Paper abstract bibtex

The video game industry is a multimillionaire market, which makes solo indie developers millionaire in one day. However, success in the game industry is not a coincidence. Video game development is an unusual kind of software that mix multidisciplinary teams: software engineers, designers, and artists. Also, for a video game to become popular, it must be fun and polished: exhaustively well tested. Testing in video game development encompasses different types of tests at different moments of the development process. In particular, assessing the players' gameplay in a test session can drive the development drastically. The designers analyze the players' actions and behaviour in the game. They can then decide if a feature/level requires rework. They often spend many man/work hours reworking a feature just because it is not engaging. As the designers (usually) assess the gameplay session by hand, they cannot be sure that a specific feature is engaging enough. They would benefit from meaningful data that would help them better assess the gameplay and take the decision to keep, rework, or remove a feature. Consequently, we describe the need for an IoT framework to assess players' gameplay using IoT sensors together with game devices which will produce a rich output for the game designers.

@INPROCEEDINGS{Politowski20-SERP4IoT-EngagementIoTSensors,
   AUTHOR       = {Cristiano Politowski and Fabio Petrillo and 
      Yann-Gael Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 2<sup>nd</sup> ICSE International Workshop on Software Engineering Research and Practices for the Internet of Things (SERP4IoT)},
   TITLE        = {Improving Engagement Assessment in Gameplay Testing 
      Sessions using IoT Sensors},
   YEAR         = {2020},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Rodrigo Morales and Rub�n Saborido and 
      Shah Rukh Humayoun and Yann-Ga�l Gu�h�neuc},
   MONTH        = {May},
   NOTE         = {Short paper. 5 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {655--659},
   PUBLISHER    = {ACM Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>ESE for the IoT</b>, 
      Topic: <b>Video game development</b>, Venue: <i>SERP4IoT</i>},
   URL          = {http://www.ptidej.net/publications/documents/SERP4IoT20b.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/SERP4IoT20b.ppt.pdf},
   ABSTRACT     = {The video game industry is a multimillionaire market, 
      which makes solo indie developers millionaire in one day. However, 
      success in the game industry is not a coincidence. Video game 
      development is an unusual kind of software that mix multidisciplinary 
      teams: software engineers, designers, and artists. Also, for a video 
      game to become popular, it must be fun and polished: exhaustively 
      well tested. Testing in video game development encompasses different 
      types of tests at different moments of the development process. In 
      particular, assessing the players' gameplay in a test session can 
      drive the development drastically. The designers analyze the players' 
      actions and behaviour in the game. They can then decide if a 
      feature/level requires rework. They often spend many man/work hours 
      reworking a feature just because it is not engaging. As the designers 
      (usually) assess the gameplay session by hand, they cannot be sure 
      that a specific feature is engaging enough. They would benefit from 
      meaningful data that would help them better assess the gameplay and 
      take the decision to keep, rework, or remove a feature. Consequently, 
      we describe the need for an IoT framework to assess players' gameplay 
      using IoT sensors together with game devices which will produce a 
      rich output for the game designers.}
}

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