EnglishEach human activity involves feelings and subjective emotions: different people will perform and sense the same task with different outcomes and experience; to understand this experience, concepts like Flow or Boredom must be investigated using objective data provided by methods like electroencephalography. This work carries on the analysis of EEG data coming from brain-computer interface and videogame "Neverwinter Nights 2": we propose an experimental methodology comparing results coming from different off-the-shelf machine learning techniques, employed on the gaming activities, to check if each affective state corresponds to the hypothesis xed in their formal design guidelines.
Affective Classication of Gaming Activities Coming From RPG Gaming Sessions / Balducci, Fabrizio; Grana, Costantino. - 10345(2017), pp. 93-100. ((Intervento presentato al convegno Edutainment 2017 – 11^ International Conference on E-Learning and Games tenutosi a Bournemouth (UK) nel 26-28 June 2017.
| Data di pubblicazione: | 2017 |
| Titolo: | Affective Classication of Gaming Activities Coming From RPG Gaming Sessions |
| Autore/i: | Balducci, Fabrizio; Grana, Costantino |
| Autore/i UNIMORE: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-65849-0_11 |
| Codice identificativo Scopus: | 2-s2.0-85032498240 |
| Codice identificativo ISI: | WOS:000463354400011 |
| Nome del convegno: | Edutainment 2017 – 11^ International Conference on E-Learning and Games |
| Luogo del convegno: | Bournemouth (UK) |
| Data del convegno: | 26-28 June 2017 |
| Serie: | LECTURE NOTES IN COMPUTER SCIENCE |
| Volume: | 10345 |
| Pagina iniziale: | 93 |
| Pagina finale: | 100 |
| Citazione: | Affective Classication of Gaming Activities Coming From RPG Gaming Sessions / Balducci, Fabrizio; Grana, Costantino. - 10345(2017), pp. 93-100. ((Intervento presentato al convegno Edutainment 2017 – 11^ International Conference on E-Learning and Games tenutosi a Bournemouth (UK) nel 26-28 June 2017. |
| Tipologia | Relazione in Atti di Convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | |
|---|---|---|---|
| Edutainment2017_CameraReady.pdf | Post-print dell'autore (bozza post referaggio) | Open Access Visualizza/Apri |
http://hdl.handle.net/11380/1146011
I documenti presenti in Iris Unimore sono rilasciati con licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia, salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
Copyright © 2021