Player Agency and the Relevance of Decisions
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
PaSSAGE demonstrated significant effects of using a player model to select content, but its experience manager was manually scripted and did not use automated content generation.
“While significant effects of using a player model to select content were demonstrated, the experience manager within PaS-SAGE was manually scripted and did not use automated content generation techniques.”
From Evaluating Planning-Based Experience Managers for Agency and Fun in Text-Based Interactive Narrative (2013) · cites this paper as Thue et al. 2010
Cites
A preliminary poetics for interactive drama and games
Mateas, M. (2001) · Digital Creativity · doi:10.1076/digc.12.3.140.3224 · Cited by 196 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
”Naked and on Fire”: Examining Player Agency Experiences in Narrative-Focused Gameplay
Carstensdottir, E., Kleinman, E., Williams, R., & Seif El-Nasr, M. S. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445540 · Cited by 18 · see citing works
“approach to player agency for interactive storytelling technologies, specifically for experience managers [34].”
BackgroundMethodEvaluating Planning-Based Experience Managers for Agency and Fun in Text-Based Interactive Narrative
Ramirez, A., Bulitko, V., & Spetch, M. (2013) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · doi:10.1609/aiide.v9i1.12684 · Cited by 8 · see citing works
Self-citationCardona-Rivera, R. E. (2011) · Proceedings of the 6th International Conference on Foundations of Digital Games · doi:10.1145/2159365.2159402 · Cited by 2 · see citing works
- Authors
- Thue, D., Bulitko, V., Spetch, M., & Romanuik, T.
- Affiliations
- University of Alberta (CA)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2010
- Pages
- 210-215
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1516069110
- Cited by
- 24
- References
- 1
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 2 · 2023: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 1 · 2014: 1 · 2013: 1 · 2012: 2
- FWCI
- 1.27
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
- Social Sciences › Sociology and Political Science › Digital Games and Media
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- player agency, interactive storytelling, decision relevance, player preferences, preference modeling, game design
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.
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