PLATO: A visual analytics system for gameplay data
During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative eva...
Ausführliche Beschreibung
Autor*in: |
Wallner, G. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Schlagwörter: |
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Umfang: |
16 |
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Übergeordnetes Werk: |
Enthalten in: Phytochemical analysis, antioxidant and anti-inflammatory activities of Phyllanthus simplex - 2011, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:38 ; year:2014 ; pages:341-356 ; extent:16 |
Links: |
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DOI / URN: |
10.1016/j.cag.2013.11.010 |
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Katalog-ID: |
ELV027745201 |
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10.1016/j.cag.2013.11.010 doi GBVA2014002000006.pica (DE-627)ELV027745201 (ELSEVIER)S0097-8493(13)00189-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 390 VZ 300 610 VZ 44.06 bkl Wallner, G. verfasserin aut PLATO: A visual analytics system for gameplay data 2014 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. Game analytics Elsevier Play-graph Elsevier Gameplay visualization Elsevier Subgraph matching Elsevier Player behavior Elsevier Clustering Elsevier Difference graph Elsevier Kriglstein, S. oth Enthalten in Elsevier Science Phytochemical analysis, antioxidant and anti-inflammatory activities of Phyllanthus simplex 2011 Amsterdam [u.a.] (DE-627)ELV015846202 volume:38 year:2014 pages:341-356 extent:16 https://doi.org/10.1016/j.cag.2013.11.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.06 Medizinsoziologie VZ AR 38 2014 341-356 16 045F 004 |
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10.1016/j.cag.2013.11.010 doi GBVA2014002000006.pica (DE-627)ELV027745201 (ELSEVIER)S0097-8493(13)00189-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 390 VZ 300 610 VZ 44.06 bkl Wallner, G. verfasserin aut PLATO: A visual analytics system for gameplay data 2014 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. Game analytics Elsevier Play-graph Elsevier Gameplay visualization Elsevier Subgraph matching Elsevier Player behavior Elsevier Clustering Elsevier Difference graph Elsevier Kriglstein, S. oth Enthalten in Elsevier Science Phytochemical analysis, antioxidant and anti-inflammatory activities of Phyllanthus simplex 2011 Amsterdam [u.a.] (DE-627)ELV015846202 volume:38 year:2014 pages:341-356 extent:16 https://doi.org/10.1016/j.cag.2013.11.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.06 Medizinsoziologie VZ AR 38 2014 341-356 16 045F 004 |
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10.1016/j.cag.2013.11.010 doi GBVA2014002000006.pica (DE-627)ELV027745201 (ELSEVIER)S0097-8493(13)00189-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 390 VZ 300 610 VZ 44.06 bkl Wallner, G. verfasserin aut PLATO: A visual analytics system for gameplay data 2014 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. Game analytics Elsevier Play-graph Elsevier Gameplay visualization Elsevier Subgraph matching Elsevier Player behavior Elsevier Clustering Elsevier Difference graph Elsevier Kriglstein, S. oth Enthalten in Elsevier Science Phytochemical analysis, antioxidant and anti-inflammatory activities of Phyllanthus simplex 2011 Amsterdam [u.a.] (DE-627)ELV015846202 volume:38 year:2014 pages:341-356 extent:16 https://doi.org/10.1016/j.cag.2013.11.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.06 Medizinsoziologie VZ AR 38 2014 341-356 16 045F 004 |
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10.1016/j.cag.2013.11.010 doi GBVA2014002000006.pica (DE-627)ELV027745201 (ELSEVIER)S0097-8493(13)00189-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 390 VZ 300 610 VZ 44.06 bkl Wallner, G. verfasserin aut PLATO: A visual analytics system for gameplay data 2014 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. Game analytics Elsevier Play-graph Elsevier Gameplay visualization Elsevier Subgraph matching Elsevier Player behavior Elsevier Clustering Elsevier Difference graph Elsevier Kriglstein, S. oth Enthalten in Elsevier Science Phytochemical analysis, antioxidant and anti-inflammatory activities of Phyllanthus simplex 2011 Amsterdam [u.a.] (DE-627)ELV015846202 volume:38 year:2014 pages:341-356 extent:16 https://doi.org/10.1016/j.cag.2013.11.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.06 Medizinsoziologie VZ AR 38 2014 341-356 16 045F 004 |
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10.1016/j.cag.2013.11.010 doi GBVA2014002000006.pica (DE-627)ELV027745201 (ELSEVIER)S0097-8493(13)00189-1 DE-627 ger DE-627 rakwb eng 004 004 DE-600 610 VZ 390 VZ 300 610 VZ 44.06 bkl Wallner, G. verfasserin aut PLATO: A visual analytics system for gameplay data 2014 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. Game analytics Elsevier Play-graph Elsevier Gameplay visualization Elsevier Subgraph matching Elsevier Player behavior Elsevier Clustering Elsevier Difference graph Elsevier Kriglstein, S. oth Enthalten in Elsevier Science Phytochemical analysis, antioxidant and anti-inflammatory activities of Phyllanthus simplex 2011 Amsterdam [u.a.] (DE-627)ELV015846202 volume:38 year:2014 pages:341-356 extent:16 https://doi.org/10.1016/j.cag.2013.11.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.06 Medizinsoziologie VZ AR 38 2014 341-356 16 045F 004 |
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During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. |
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During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. |
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During the last decade the game industry has evolved into a highly competitive market. This has prompted game developers to seek ways to increase the quality of their games which in turn is, to a large extent, dependent on the quality of the player experience. In addition to adapting qualitative evaluation methods, developers have therefore started to use instrumentation techniques to unobtrusively collect large amounts of data of player behavior over time. This creates the need for adequate analysis tools in order to explore and make sense of the data. |
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