The DOI matches its Crossref record.
Tracking real-time user experience (TRUE): a comprehensive instrumentation solution for complex systems
Abstract
Automatic recording of user behavior within a system (instrumentation) to develop and test theories has a rich history in psychology and system design. Often, researchers analyze instrumented behavior in isolation from other data. The problem with collecting instrumented behaviors without attitudinal, demographic, and contextual data is that researchers have no way to answer the 'why' behind the 'what'. We have combined the collection and analysis of behavioral instrumentation with other HCI methods to develop a system for Tracking Real-Time User Experience (TRUE). Using two case studies as examples, we demonstrate how we have evolved instrumentation methodology and analysis to extensively improve the design of video games. It is our hope that TRUE is adopted and adapted by the broader HCI community, becoming a useful tool for gaining deep insights into user behavior and improvement of design for other complex systems.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Procedural content generation for games: A survey
Hendrikx, M., Meijer, S., Van Der Velden, J., & Iosup, A. (2013) · ACM Transactions on Multimedia Computing, Communications, and Applications · doi:10.1145/2422956.2422957 · Cited by 558
(2010) · Cited by 140
Play-Personas: Behaviours and Belief Systems in User-Centred Game Design
Canossa, A., & Drachen, A. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-03658-3_55 · Cited by 34
Automated game balancing of asymmetric video games
Beau, P., & Bakkes, S. (2016) · 2016 IEEE Conference on Computational Intelligence and Games (CIG) · doi:10.1109/cig.2016.7860432 · Cited by 22
Metadata
- Authors
- Kim, J. H., Gunn, D. V., Schuh, E., Phillips, B., Pagulayan, R. J., & Wixon, D.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2008-04-06
- Pages
- 443-452
- OpenAlex
- W2142777385
- Cited by
- 252
- References
- 0
- FWCI
- 14.43
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Tracking real-time user experience (TRUE): a comprehensive instrumentation solution for complex systems. https://app.cochat.ai/papers/10.1145/1357054.1357126
- The paper
- Kim, J. H., Gunn, D. V., Schuh, E., Phillips, B., Pagulayan, R. J., & Wixon, D. (2008). Tracking real-time user experience (TRUE): a comprehensive instrumentation solution for complex systems. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1357054.1357126
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.