Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
Authors: 
Javier Navarro, Iván García-Magariño, Jorge J. Gómez Sanz, Raquel Lacuesta, Rubén Fuentes Fernández, Juan PavónAuthors Info & Claims
Javier Navarro, Iván García-Magariño, Jorge J. Gómez Sanz, Raquel Lacuesta, Rubén Fuentes Fernández, Juan PavónAuthors Info & ClaimsPages 208 - 217
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%).
References
[1]
Deng T, Kanthawala S, Meng J, et al. Measuring smartphone usage and task switching with log tracking and self-reports Mob. Media Commun. 2019 7 3-23
[2]
Eirinaki M and Vazirgiannis M Web mining for web personalization ACM Trans. Internet Technol. (TOIT) 2003 3 1-27
[3]
Goncalves J, Hosio S, Liu Y, and Kostakos V Eliciting situated feedback: a comparison of paper, web forms and public displays Displays 2014 35 27-37
[4]
Wilson A, Tewdwr-Jones M, and Comber R Urban planning, public participation and digital technology: App development as a method of generating citizen involvement in local planning processes Environ. Plann. B: Urban Anal. City Sci. 2019 46 286-302
[5]
Rieser L and Furneaux B Share of attention: exploring the allocation of user attention to consumer applications Comput. Hum. Behav. 2022 126 107006
[6]
Grua, E.M., Malavolta, I., Lago, P.: Self-adaptation in mobile apps: a systematic literature study. In: 2019 IEEE/ACM 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), pp 51–62. IEEE (2019)
[7]
Garber-Barron, M., Si, M.: Adaptive storytelling through user understanding. In: Ninth Artificial Intelligence and Interactive Digital Entertainment Conference (2013)
[8]
Camingue J, Carstensdottir E, and Melcer EF What is a visual novel? Proc. ACM Human-Comput. Interact. 2021 5 1-18
[9]
Goanta C, Yohanis A, Jaiman V, and Urovi V Web monetisation Internet Policy Rev. 2022 11 1-8
[10]
Appel G, Libai B, Muller E, and Shachar R On the monetization of mobile apps Int. J. Res. Mark. 2020 37 93-107
[11]
Ewieda M, Shaaban EM, and Roushdy M Customer retention: detecting churners in telecoms industry using data mining techniques Int. J. Adv. Comput. Sci. App. 2021 12 1-10
[12]
Kumar MR, Venkatesh J, and Rahman AMJ Data mining and machine learning in retail business: developing efficiencies for better customer retention J. Amb. Intell. Human. Comput. 2021 2021 1-13
[13]
Abdulrahman SA, Khalifa W, Roushdy M, and Salem A-BM Comparative study for 8 computational intelligence algorithms for human identification Comput. Sci. Rev. 2020 36 100237
[14]
NavarroAlamán J, Lacuesta R, GarcíaMagariño I, and Lloret J EmotIoT: an IoT system to improve users’ wellbeing Appl. Sci. 2022 12 5804
[15]
Al-Hoqani, W.M.: Difficulties of marking decision tree diagrams. In: 2017 Computing Conference, pp. 1190–1194. IEEE (2017)
[16]
Athey S, Tibshirani J, and Wager S Generalized random forests Ann. Stat. 2019 47 1148–1178 31
[17]
Loria E and Marconi A Exploiting limited players’ behavioral data to predict churn in gamification Electron. Commer. Res. Appl. 2021 47 101057
[18]
GonzálezBriones A, GarcíaMagariño I, Gómez-Sanz JJ, FuentesFernández R, Pavón J, et al. Alba E et al. A collaborative platform for the detection of non-inclusive situations in smart cities Advances in Artificial Intelligence 2021 Cham Springer 206-215
[19]
Menze BH, Kelm BM, Masuch R, et al. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data BMC Bioinform. 2009 10 1-16
[20]
Matthew W Bias of the Random Forest out-of-bag (OOB) error for certain input parameters Open J. Statist. 2011 2011 7
Index Terms
- Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
Index terms have been assigned to the content through auto-classification.
Recommendations
Using Interaction Data to Predict Engagement with Interactive Media
MM '21: Proceedings of the 29th ACM International Conference on MultimediaMedia is evolving from traditional linear narratives to personalised experiences, where control over information (or how it is presented) is given to individual audience members. Measuring and understanding audience engagement with this media is ...
Interactive Radio Experiences
TVX '19: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online VideoNowadays radio shows are much more than a linear broadcast feed – they are all about user engagement. At the same time, many users are no longer only connected to a radio station brand through the linear broadcast channel, but also through digital ...
Users and evaluation of interactive storytelling
ICIDS'10: Proceedings of the Third joint conference on Interactive digital storytellingThe manuscript includes information about the objectives, methods, participation requirements and references for the Users and Evaluation of Interactive Storytelling at the 3rd International Conference on Interactive Digital Storytelling - Edinburgh ...
Comments
Information & Contributors
Information
Published In
Nov 2022
421 pages
ISBN:978-3-031-22418-8
DOI:10.1007/978-3-031-22419-5
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 04 January 2023
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 13 Jan 2025