@inproceedings{e2591606d4a34963aab2acc2b280e83a,
title = "Like a DNA string: Sequence-based player profiling in Tom Clancy{\textquoteright}s the Division",
abstract = "In this paper we present an approach to using sequence analysis to model player behavior. This approach is designed to work in game development contexts, integrating production teams and delivering profiles that inform game design. We demonstrate the method via a case study of the game Tom Clancy{\textquoteright}s The Division, which with its 20 million players represents a major current commercial title. The approach presented provides a mixed-methods framework, combining qualitative knowledge elicitation and workshops with large-scale telemetry analysis, using sequence mining and clustering to develop detailed player profiles showing the core gameplay loops of The Division{\textquoteright}s players.",
author = "Alessandro Canossa and Sasha Makarovych and Julian Togelius and Anders Drachen",
note = "Publisher Copyright: Copyright {\textcopyright} 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2018 ; Conference date: 13-11-2018 Through 17-11-2018",
year = "2018",
language = "English (US)",
series = "Proceedings of the 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2018",
publisher = "AAAI press",
pages = "152--157",
booktitle = "Proceedings of the 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2018",
}