Individual Differences in Causal Judgment under Time Pressure: Sex and Prior Video Game Experience as Predictors

Young, Michael E.; Sutherland, Steven C.; Cole, James J.

doi:10.46867/ijcp.2011.24.01.04

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2012

2015

Publication Types

Select...

Article4

Book1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 7 publications

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Measuring Expert Performance for Serious Games Analytics: From Data to Insights

Loh

Sheng

2015

Serious Games Analytics

View full text Add to dashboard Cite

Advances in technology have made it possible to trace players' actions and behaviors (as user-generated data) within online serious gaming environments for performance measurement and improvement purposes. Instead of a Black box approach (such as pretest/posttest), we can approach serious games as a White box, assessing performance of play-learners by manipulating the performance variables directly. In this chapter, we describe the processes to obtain user-generated gameplay data in situ using serious games for training-i.e., data tracing, cleaning, mining, and visualization. We also examine ways to differentiate expert-novice performances in serious games, including behavior profiling. We introduce a new Expertise Performance Index, based on string similarities that take into account the "course of actions" chosen by experts and compare that to those of the novices. The Expertise Performance Index can be useful as a metric for serious games analytics because it can rank play-learners according to their competency levels in the serious games.

show abstract