Abstract
Video games are becoming an important part of digital library collections due to increasing popularity and the acknowledgement of their significance as cultural artifacts. In order to support robust search and browse functions, it is imperative to develop a metadata schema to effectively represent this medium. The potential of mood metadata in the domain of video game classification is little explored, despite the value given to it by gamers in user studies. Here, we present a Controlled Vocabulary (CV) for moods related to video games with 17 defined mood terms, equivalent terms, and game examples. This CV will enable catalogers to organize video games by mood, allowing mood to be used for search and collocation. In order to evaluate the applicability of this CV and discover which terms are most relevant for video games, we annotated the mood of a sample collection of 617 video game titles. In this poster, we discuss the issues and challenges we encountered in the creation and evaluation of the current CV and our future research goals.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 475-476 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781479955695 |
| DOIs | |
| State | Published - Dec 1 2014 |
| Externally published | Yes |
| Event | 2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014 - London, United Kingdom Duration: Sep 8 2014 → Sep 12 2014 |
Other
| Other | 2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 9/8/14 → 9/12/14 |
Fingerprint
Keywords
- Controlled vocabulary
- Mood
- Taxonomy
- Thesaurus
- Video game
ASJC Scopus subject areas
- Engineering(all)
Cite this
Mood metadata for video games and interactive media. / Rossi, Stephanie; Lee, Jin Ha; Clarke, Rachel.
2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 475-476 6970232.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Mood metadata for video games and interactive media
AU - Rossi, Stephanie
AU - Lee, Jin Ha
AU - Clarke, Rachel
PY - 2014/12/1
Y1 - 2014/12/1
N2 - Video games are becoming an important part of digital library collections due to increasing popularity and the acknowledgement of their significance as cultural artifacts. In order to support robust search and browse functions, it is imperative to develop a metadata schema to effectively represent this medium. The potential of mood metadata in the domain of video game classification is little explored, despite the value given to it by gamers in user studies. Here, we present a Controlled Vocabulary (CV) for moods related to video games with 17 defined mood terms, equivalent terms, and game examples. This CV will enable catalogers to organize video games by mood, allowing mood to be used for search and collocation. In order to evaluate the applicability of this CV and discover which terms are most relevant for video games, we annotated the mood of a sample collection of 617 video game titles. In this poster, we discuss the issues and challenges we encountered in the creation and evaluation of the current CV and our future research goals.
AB - Video games are becoming an important part of digital library collections due to increasing popularity and the acknowledgement of their significance as cultural artifacts. In order to support robust search and browse functions, it is imperative to develop a metadata schema to effectively represent this medium. The potential of mood metadata in the domain of video game classification is little explored, despite the value given to it by gamers in user studies. Here, we present a Controlled Vocabulary (CV) for moods related to video games with 17 defined mood terms, equivalent terms, and game examples. This CV will enable catalogers to organize video games by mood, allowing mood to be used for search and collocation. In order to evaluate the applicability of this CV and discover which terms are most relevant for video games, we annotated the mood of a sample collection of 617 video game titles. In this poster, we discuss the issues and challenges we encountered in the creation and evaluation of the current CV and our future research goals.
KW - Controlled vocabulary
KW - Mood
KW - Taxonomy
KW - Thesaurus
KW - Video game
UR - http://www.scopus.com/inward/record.url?scp=84919334930&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84919334930&partnerID=8YFLogxK
U2 - 10.1109/JCDL.2014.6970232
DO - 10.1109/JCDL.2014.6970232
M3 - Conference contribution
AN - SCOPUS:84919334930
SP - 475
EP - 476
BT - 2014 IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -