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https://hdl.handle.net/10216/76342Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Rúben Pinto Aguiar | |
| dc.date.accessioned | 2025-11-12T20:19:45Z | - |
| dc.date.available | 2025-11-12T20:19:45Z | - |
| dc.date.issued | 2014-07-18 | |
| dc.date.submitted | 2014-09-04 | |
| dc.identifier.other | sigarra:32034 | |
| dc.identifier.uri | https://hdl.handle.net/10216/76342 | - |
| dc.description.abstract | In this thesis, we demonstrate a generalizable approach for building predictive models of players' affective reactions across games and genres. Our aim is two-fold: 1) That game developers can use these models to more easily and accurately tune game parameters, allowing improved gaming experiences, and 2) That these models can be used as the basis for parameterisable and adaptive affective gaming. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Affective Game Design: Creating Better Game Experiences based on Players' Affective Reaction Model | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.doi | 10.34626/t3c9-6k18 | |
| dc.identifier.tid | 201319160 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Mestrado Integrado em Engenharia Informática e Computação | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 32034.pdf | Affective Game Design: Creating Better Game Experiences based on Players Affective Reaction Model | 2.1 MB | Adobe PDF | ![]() View/Open |
This item is licensed under a Creative Commons License
