The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Enhancing Game Experience with Facial Expression Recognition as Dynamic Balancing
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Citations
Cites
Measuring and defining the experience of immersion in games
Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2008.04.004 · Cited by 2,065
Research works printed but not linked: 13
- Yannakakis, 2014, Emotion in games, Handbook on affective computing, 459
- Prasetio, 2017, Location-based game to enhance players experience in survival horror game, Procedia Computer Science, 116, 206, 10.1016/j.procs.2017.10.037 · doi:10.1016/j.procs.2017.10.037
- Brockmyer, 2009, The development of the game engagement questionnaire: A measure of engagement in video game-playing, Journal of Experimental Social Psychology, 45, 624, 10.1016/j.jesp.2009.02.016 · DOI · Paper page
- Moniaga, 2018, Facial expression recognition as dynamic game balancing system, Procedia Computer Science, 135, 361, 10.1016/j.procs.2018.08.185 · DOI
- Bontchev, 2016, Adaptation in affective video games: A literature review, Cybernetics and Information Technologies, 16, 3, 10.1515/cait-2016-0032 · DOI
- Boulic, 1990, A global human walking model with real-time kinematic personification, The visual computer, 6, 344, 10.1007/BF01901021 · DOI · Paper page
- Wu, 2008, Why they enjoy virtual game worlds? an empirical investigation, Journal of electronic commerce research, 9, 219
- Serino, 2016, Pokémon go and augmented virtual reality games: a cautionary commentary for parents and pediatricians, Current opinion in pediatrics, 28, 673, 10.1097/MOP.0000000000000409 · DOI · Paper page
- Hudson, 2019, With or without you? interaction and immersion in a virtual reality experience, Journal of Business Research, 100, 459, 10.1016/j.jbusres.2018.10.062 · DOI · Paper page
- Zohaib, 2018, Dynamic difficulty adjustment (dda) in computer games: A review, Advances in Human-Computer Interaction, 2018, 10.1155/2018/5681652 · DOI · Paper page
- Sutoyo, 2015, Dynamic difficulty adjustment in tower defence, Procedia Computer Science, 59, 435, 10.1016/j.procs.2015.07.563 · doi:10.1016/j.procs.2015.07.563
- Norouzi, 2018, A systematic survey of 15 years of user studies published in the intelligent virtual agents conference, International Conference on Intelligent Virtual Agents (IVA), 10.1145/3267851.3267901 · DOI
- IJsselsteijn, 2013, The game experience questionnaire, Eindhoven: Technische Universiteit Eindhoven
Metadata
- Authors
- Akbar, M. T., Ilmi, M. N., Rumayar, I. V., Moniaga, J., Chen, T.-K., & Chowanda, A.
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2019
- Volume
- 157
- Pages
- 388-395
- ISSN
- 1877-0509
- Cited by
- 31
- References
- 1
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor, 245 d)
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- The paper
- Akbar, M. T., Ilmi, M. N., Rumayar, I. V., Moniaga, J., Chen, T.-K., & Chowanda, A. (2019). Enhancing Game Experience with Facial Expression Recognition as Dynamic Balancing. Procedia Computer Science. https://doi.org/10.1016/j.procs.2019.08.230
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.
