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.
Originalsprog | Engelsk |
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Titel | Proceedings of the first ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play |
Antal sider | 2 |
Forlag | Association for Computing Machinery |
Publikationsdato | 2014 |
Sider | 427-428 |
DOI | |
Status | Udgivet - 2014 |
Udgivet eksternt | Ja |
Begivenhed | First ACM SIGCHI annual symposium on Computer-human interaction in play - Varighed: 1 okt. 2014 → 3 okt. 2014 |
Konference
Konference | First ACM SIGCHI annual symposium on Computer-human interaction in play |
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Periode | 01/10/2014 → 03/10/2014 |
Kunstnerisk udviklingsvirksomhed (KUV)
- Nej