Abstract
Interactive applications are becoming increasingly popular to gather feedback from users in different fields (e.g., Urbanism, Design, Economy, or Sociology). However, it is difficult to keep users engaged with an application to provide high-quality answers, as there are plenty of competitors for their attention (e.g. other applications) and their attention time is short. In this context, the interactive adaptation of applications to the actual interaction with users is a key element to improve users’ engagement. It allows modifying the interface and story of the application to make it more attractive to the users while they play with it. This paper addresses this issue with early detection of potential signs of fatigue or abandonment by users in interactive visual novels. It applies Randomized Forests over a variety of events common in this type of application and analyzes which of them are best predictors of those signs. The results with a variety of novels and the selected features show promising results (a minimum accuracy of 81%).
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Acknowledgements
This work has been done in the context of the projects “Reshaping Attention and Inclusion Strategies for Distinctively vulnerable people among the forcibly displaced (RAISD)” (grant 822688) supported by the European Commission in the Horizon 2020 programme and “Collaborative Design for the Promotion of the Well-Being in Inclussive Smart Cities (DColbici3)” (grant TIN2017-88327-R) supported by the Spanish Ministry for Economy, Industry, and Competitiveness.
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Navarro, J., García-Magariño, I., Gómez Sanz, J.J., Lacuesta, R., Fernández, R.F., Pavón, J. (2022). Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier. In: Bicharra Garcia, A.C., Ferro, M., Rodríguez Ribón, J.C. (eds) Advances in Artificial Intelligence – IBERAMIA 2022. IBERAMIA 2022. Lecture Notes in Computer Science(), vol 13788. Springer, Cham. https://doi.org/10.1007/978-3-031-22419-5_18
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