By the same authors

Like a DNA string: Sequence-based Player Profiling in Tom Clancy’s The Division

Research output: Contribution to conferencePaper

Full text download(s)

Author(s)

Department/unit(s)

Conference

ConferenceArtificial Intelligence and Interactive Digital Entertainment Conference
Conference date(s)13/11/1817/11/18
Internet address

Publication details

DateAccepted/In press - 2018
Original languageEnglish

Abstract

In this paper we present an approach for 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’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 largescale
telemetry analysis, using sequence mining and clustering
to develop detailed player profiles showing the core gameplay
loops of The Division’s players.

Bibliographical note

© 2018, Association for the Advancement of Artificial
Intelligence.

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations