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Graph-based method for the interpretation of user activities in serious games
Publisher
Springer
80
Author
Grabska-Gradzińska Iwona
Argasiński Jan
Editor
Institution
IFIP International Federation for Information Processing
Book title / Journal title
Human-Computer Interaction – INTERACT 2021 : 18th IFIP TC 13 International Conference Bari, Italy, August 30 – September 3, 2021, proceedings, part 3
Place of publication: Publisher
Cham : Springer Nature
Pages
87-96
ISBN
978-3-030-85612-0
eISBN
978-3-030-85613-7
Series
Lecture Notes in Computer Science
Serie's ISSN
0302-9743
Serie's eISSN
1611-3349
Number of serie
12934
Keywords in English
layered graphs
serious games
training evaluation
educational assessment
Language
English
Book language / Journal language
English
Abstract in English
Computer-based training systems are of growing importance nowadays. Demand for remote skill and knowledge validating solutions is higher than ever before. Serious games provide safe and replayable conditions for teaching and practice. The main issue with education founded on serious games paradigm is the evaluation of the players. Virtual environments allow for various activities that are hard to grasp and quantify automatically. Gameplay log files are usually filled with an excess of trivial activities that don’t provide vital information about user’s skills or knowledge in the relevant domain. In this paper, the authors propose a novel method for classification and interpretation of user activities in computer-based training systems. The innovation of the presented idea lies in the combination of layered graphs data structures, and Bayesian inference about the user’s skills and knowledge.
Conference
IFIP TC13 Conference on Human-Computer Interaction
Conference short name
Interact
Conference start date
2021-08-30
End date conference
2021-09-03
Conference city
Bari
Conference country
Włochy
Conference type
international
Affiliation
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej
Scopus© citations
2
| cris.lastimport.wos | 2024-04-09T22:26:23Z | |
| dc.abstract.en | Computer-based training systems are of growing importance nowadays. Demand for remote skill and knowledge validating solutions is higher than ever before. Serious games provide safe and replayable conditions for teaching and practice. The main issue with education founded on serious games paradigm is the evaluation of the players. Virtual environments allow for various activities that are hard to grasp and quantify automatically. Gameplay log files are usually filled with an excess of trivial activities that don’t provide vital information about user’s skills or knowledge in the relevant domain. In this paper, the authors propose a novel method for classification and interpretation of user activities in computer-based training systems. The innovation of the presented idea lies in the combination of layered graphs data structures, and Bayesian inference about the user’s skills and knowledge. | pl |
| dc.affiliation | Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej | pl |
| dc.conference | IFIP TC13 Conference on Human-Computer Interaction | |
| dc.conference.city | Bari | |
| dc.conference.country | Włochy | |
| dc.conference.datefinish | 2021-09-03 | |
| dc.conference.datestart | 2021-08-30 | |
| dc.conference.indexscopus | true | |
| dc.conference.indexwos | true | |
| dc.conference.shortcut | Interact | |
| dc.contributor.author | Grabska-Gradzińska, Iwona - 121296 | pl |
| dc.contributor.author | Argasiński, Jan - 105948 | pl |
| dc.contributor.editor | Ardito, Carmelo | pl |
| dc.contributor.editor | Lanzilotti, Rosa | pl |
| dc.contributor.editor | Malizia, Alessio | pl |
| dc.contributor.editor | Petrie, Helen | pl |
| dc.contributor.editor | Piccinno, Antonio | pl |
| dc.contributor.editor | Desolda, Giuseppe | pl |
| dc.contributor.editor | Inkpen, Kori | pl |
| dc.contributor.institution | IFIP International Federation for Information Processing | pl |
| dc.date.accessioned | 2021-09-27T16:56:38Z | |
| dc.date.available | 2021-09-27T16:56:38Z | |
| dc.date.issued | 2021 | pl |
| dc.description.conftype | international | pl |
| dc.description.physical | 87-96 | pl |
| dc.description.publication | 0,7 | pl |
| dc.description.series | Lecture Notes in Computer Science | |
| dc.description.seriesissn | true | |
| dc.description.seriesnumber | 12934 | |
| dc.identifier.doi | 10.1007/978-3-030-85613-7_6 | pl |
| dc.identifier.eisbn | 978-3-030-85613-7 | pl |
| dc.identifier.isbn | 978-3-030-85612-0 | pl |
| dc.identifier.project | ROD UJ / O | pl |
| dc.identifier.serieseissn | 1611-3349 | |
| dc.identifier.seriesissn | 0302-9743 | |
| dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/279166 | |
| dc.language | eng | pl |
| dc.language.container | eng | pl |
| dc.participation | Argasiński, Jan: 50%; Grabska-Gradzińska, Iwona: 50%; | pl |
| dc.pbn.affiliation | Dziedzina nauk inżynieryjno-technicznych : informatyka techniczna i telekomunikacja | pl |
| dc.pubinfo | Cham : Springer Nature | pl |
| dc.publisher.ministerial | Springer | pl |
| dc.rights | Dodaję tylko opis bibliograficzny | * |
| dc.rights.licence | Bez licencji otwartego dostępu | |
| dc.rights.uri | * | |
| dc.subject.en | layered graphs | pl |
| dc.subject.en | serious games | pl |
| dc.subject.en | training evaluation | pl |
| dc.subject.en | educational assessment | pl |
| dc.subtype | ConferenceProceedings | pl |
| dc.title | Graph-based method for the interpretation of user activities in serious games | pl |
| dc.title.container | Human-Computer Interaction – INTERACT 2021 : 18th IFIP TC 13 International Conference Bari, Italy, August 30 – September 3, 2021, proceedings, part 3 | pl |
| dc.type | BookSection | pl |
| dspace.entity.type | Publication |
cris.lastimport.wos
2024-04-09T22:26:23Z dc.abstract.enpl
Computer-based training systems are of growing importance nowadays. Demand for remote skill and knowledge validating solutions is higher than ever before. Serious games provide safe and replayable conditions for teaching and practice. The main issue with education founded on serious games paradigm is the evaluation of the players. Virtual environments allow for various activities that are hard to grasp and quantify automatically. Gameplay log files are usually filled with an excess of trivial activities that don’t provide vital information about user’s skills or knowledge in the relevant domain. In this paper, the authors propose a novel method for classification and interpretation of user activities in computer-based training systems. The innovation of the presented idea lies in the combination of layered graphs data structures, and Bayesian inference about the user’s skills and knowledge. dc.affiliationpl
Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Informatyki Stosowanej dc.conference
IFIP TC13 Conference on Human-Computer Interaction dc.conference.city
Bari dc.conference.country
Włochy dc.conference.datefinish
2021-09-03 dc.conference.datestart
2021-08-30 dc.conference.indexscopus
true dc.conference.indexwos
true dc.conference.shortcut
Interact dc.contributor.authorpl
Grabska-Gradzińska, Iwona - 121296 dc.contributor.authorpl
Argasiński, Jan - 105948 dc.contributor.editorpl
Ardito, Carmelo dc.contributor.editorpl
Lanzilotti, Rosa dc.contributor.editorpl
Malizia, Alessio dc.contributor.editorpl
Petrie, Helen dc.contributor.editorpl
Piccinno, Antonio dc.contributor.editorpl
Desolda, Giuseppe dc.contributor.editorpl
Inkpen, Kori dc.contributor.institutionpl
IFIP International Federation for Information Processing dc.date.accessioned
2021-09-27T16:56:38Z dc.date.available
2021-09-27T16:56:38Z dc.date.issuedpl
2021 dc.description.conftypepl
international dc.description.physicalpl
87-96 dc.description.publicationpl
0,7 dc.description.series
Lecture Notes in Computer Science dc.description.seriesissn
true dc.description.seriesnumber
12934 dc.identifier.doipl
10.1007/978-3-030-85613-7_6 dc.identifier.eisbnpl
978-3-030-85613-7 dc.identifier.isbnpl
978-3-030-85612-0 dc.identifier.projectpl
ROD UJ / O dc.identifier.serieseissn
1611-3349 dc.identifier.seriesissn
0302-9743 dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/279166 dc.languagepl
eng dc.language.containerpl
eng dc.participationpl
Argasiński, Jan: 50%; Grabska-Gradzińska, Iwona: 50%; dc.pbn.affiliationpl
Dziedzina nauk inżynieryjno-technicznych : informatyka techniczna i telekomunikacja dc.pubinfopl
Cham : Springer Nature dc.publisher.ministerialpl
Springer dc.rights*
Dodaję tylko opis bibliograficzny dc.rights.licence
Bez licencji otwartego dostępu dc.rights.uri*
dc.subject.enpl
layered graphs dc.subject.enpl
serious games dc.subject.enpl
training evaluation dc.subject.enpl
educational assessment dc.subtypepl
ConferenceProceedings dc.titlepl
Graph-based method for the interpretation of user activities in serious games dc.title.containerpl
Human-Computer Interaction – INTERACT 2021 : 18th IFIP TC 13 International Conference Bari, Italy, August 30 – September 3, 2021, proceedings, part 3 dc.typepl
BookSection dspace.entity.type
Publication Affiliations
Wydział Fizyki, Astronomii i Informatyki Stosowanej
Grabska-Gradzińska, Iwona
Argasiński, Jan
No affiliation
Ardito, Carmelo
Lanzilotti, Rosa
Malizia, Alessio
Petrie, Helen
Piccinno, Antonio
Desolda, Giuseppe
Inkpen, Kori
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