Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game

Brent Harrison; David L. Roberts

doi:10.1609/aiide.v10i1.12713

Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game

Brent Harrison, David L. Roberts

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

This paper shows how game analytics can be used to dynamically adapt a casual, 2-D adventure game named Sidequest: The Game (SQ:TG) in order to increase session-level retention. Our technique involves using game analytics to create an abstracted game analytic space to make the problem tractable. We then model player retention in this space and move through this space in accordance to a target distribution of game states in order to influence player behavior. Experiments performed show that the adaptive version of SQ:TG is able to better fit a target distribution of game states while also significantly reducing the quitting rate compared to the non-adaptive version of the game.

Original language	English
Title of host publication	Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014
Pages	23-29
Number of pages	7
ISBN (Electronic)	9781577356813
DOIs	https://doi.org/10.1609/aiide.v10i1.12713
State	Published - 2014
Event	10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014 - Raleigh, United States Duration: Oct 3 2014 → Oct 7 2014

Publication series

Name	Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014

Conference

Conference	10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014
Country/Territory	United States
City	Raleigh
Period	10/3/14 → 10/7/14

Bibliographical note

Publisher Copyright:
Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

ASJC Scopus subject areas

Artificial Intelligence
Visual Arts and Performing Arts

Access to Document

10.1609/aiide.v10i1.12713

Cite this

Harrison, B., & Roberts, D. L. (2014). Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game. In Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014 (pp. 23-29). (Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014). https://doi.org/10.1609/aiide.v10i1.12713

Harrison, Brent ; Roberts, David L. / Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game. Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014. 2014. pp. 23-29 (Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014).

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title = "Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game",

abstract = "This paper shows how game analytics can be used to dynamically adapt a casual, 2-D adventure game named Sidequest: The Game (SQ:TG) in order to increase session-level retention. Our technique involves using game analytics to create an abstracted game analytic space to make the problem tractable. We then model player retention in this space and move through this space in accordance to a target distribution of game states in order to influence player behavior. Experiments performed show that the adaptive version of SQ:TG is able to better fit a target distribution of game states while also significantly reducing the quitting rate compared to the non-adaptive version of the game.",

author = "Brent Harrison and Roberts, {David L.}",

note = "Publisher Copyright: Copyright {\textcopyright} 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014 ; Conference date: 03-10-2014 Through 07-10-2014",

year = "2014",

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language = "English",

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Harrison, B & Roberts, DL 2014, Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game. in Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014. Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014, pp. 23-29, 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014, Raleigh, United States, 10/3/14. https://doi.org/10.1609/aiide.v10i1.12713

Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game. / Harrison, Brent; Roberts, David L.
Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014. 2014. p. 23-29 (Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Harrison B, Roberts DL. Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game. In Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014. 2014. p. 23-29. (Proceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014). doi: 10.1609/aiide.v10i1.12713

Analytics-driven dynamic game adaption for player retention in a 2-dimensional adventure game

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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