Entertainment computing - ICEC 2015[...
Chorianopoulos, Konstantinos.

 

  • Entertainment computing - ICEC 2015[electronic resource] :14th International Conference, ICEC 2015, Trondheim, Norway, September 29 - Ocotober 2, 2015 : proceedings /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 790.20285
    書名/作者: Entertainment computing - ICEC 2015 : 14th International Conference, ICEC 2015, Trondheim, Norway, September 29 - Ocotober 2, 2015 : proceedings // edited by Konstantinos Chorianopoulos ... [et al.].
    其他題名: ICEC 2015
    其他作者: Chorianopoulos, Konstantinos.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xvi, 583 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Media Design.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Entertainment computing - Congresses.
    標題: Computer Science.
    標題: Personal Computing.
    標題: User Interfaces and Human Computer Interaction.
    標題: Computer Graphics.
    ISBN: 9783319245898
    ISBN: 9783319245881
    內容註: Computer games -- Serious games for learning -- Interactive games -- Design and evaluation methods for Entertainment Computing; Digital storytelling -- Games for health and well-being -- Digital art and installations; Artificial intelligence and machine learning for entertainment -- Interactive television and entertainment.
    摘要、提要註: This book constitutes the refereed proceedings of the 14th International Conference on Entertainment Computing, ICEC 2015, held in Trondheim, Norway, in September/October 2015. The 26 full papers, 6 short papers, 16 posters, 6 demos and 6 workshops/tutorial descriptions presented were carefully reviewed and selected from 106 submissions. The multidisciplinary nature of Entertainment Computing is reflected by the papers. They focus on computer games; serious games for learning; interactive games; design and evaluation methods for Entertainment Computing; digital storytelling; games for health and well-being; digital art and installations; artificial intelligence and machine learning for entertainment; interactive television and entertainment.
    電子資源: http://dx.doi.org/10.1007/978-3-319-24589-8
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