Temporal synchronisation of data logging in racing gameplay

Aparajithan Sivanathan, Theodore Lim, Sandy Louchart, James Ritchie

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Contemporary game play is a complex environment where user interacts with many elements. Data logging in a game play is a common practice to study a in-game behaviour. Identified behavioural knowledge is then applied to enhance
the game elements. Analyzing the user behaviour is a multivariate process and therefore requires more information than mere logging of game context. Multi modal data channels such as biofeedback signals are increasingly used to study the game play so that more detailed understanding of the user behaviour can be established. Precise synchronisation in capturing of multiple streams is essential to produce accurate and meaningful information. This paper presents a generic
technique to accurately synchronize multiple data streams captured during a gaming session. It is demonstrated by applying it to a driving game Simulation. Observable correlation between the in-game data and psycho-physiological signals are presented to demonstrate the accuracy and granularity of the synchronisation.
Original languageEnglish
Pages (from-to)103-110
Number of pages8
JournalProcedia Computer Science
Volume15
Issue numbern/a
DOIs
Publication statusPublished - 1 Jan 2012

Keywords

  • data logging
  • synchronisation and encoding framework
  • EEG
  • telemetry
  • Psychophysiology
  • biofeedback

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Human-Computer Interaction
  • Information Systems
  • Signal Processing
  • Software
  • Neuroscience (miscellaneous)
  • Behavioral Neuroscience
  • Cognitive Neuroscience

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