Abstract
nderstanding player behavior through telemetry logs is an important yet unresolved problem. Interpreting the meaning of players' low-level behaviors over time is important due to its utility in (a) developing a more adaptive and personalized game experience, (b) uncovering game design issues, and (c) understanding the human cognitive processes in a gaming context, not to mention its use and application to learning, training, and health. In this paper, the authors describe a work in progress developing a quantified model of player behavior for interpreting telemetry data from a first-person roll-playing game (RPG). This kind of model constitutes a grammar that will allow us to make sense of low-level behavioral data to assess personality, decision-making, and other cognitive constructs through behavioral measures.
Original language | English |
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Title of host publication | Proceedings of the first ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play |
Number of pages | 2 |
Publisher | Association for Computing Machinery |
Publication date | 2014 |
Pages | 427-428 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | First ACM SIGCHI annual symposium on Computer-human interaction in play - Duration: 1 Oct 2014 → 3 Oct 2014 |
Conference
Conference | First ACM SIGCHI annual symposium on Computer-human interaction in play |
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Period | 01/10/2014 → 03/10/2014 |
Artistic research
- No