• DocumentCode
    3455071
  • Title

    Pervasive emotion computing: Conceptualization and implementation on emotion-aware digital movie guide service

  • Author

    Jiehan Zhou ; Changrong Yu ; Ylianttila, Mika

  • Author_Institution
    Comput. Sci. & Eng. Lab., Univ. of Oulu, Oulu, Finland
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    Computer systems are increasingly capable of reading and responding to human emotions. And these systems can be programmed to give appropriate and timely responses to emotions. Such systems can provide supportive feedback, to help people deal with negative emotions, or reinforce positive feelings. These services can be facilitated through mobile services, such as instant text or video messaging, in the context of pervasive computing. This paper examines mobile services-enabled emotion harmonization as a new aspect of pervasive emotion computing (PEC). It explores pervasive emotion computing, an emotion harmonization model and a PEACE metamodel for recognizing emotion. The paper shows how a combination of conversation analysis techniques produces an emotion-aware digital movie guidance service (EDMG) as a prototype for approaching PEC. The results show that EDMG service can enhance personal viewing experiences through interaction with emotion-aware systems.
  • Keywords
    emotion recognition; entertainment; mobile computing; PEACE metamodel; conversation analysis techniques; emotion recognition; emotion-aware digital movie guide service; mobile services-enabled emotion harmonization model; pervasive emotion computing; reinforce positive feelings; supportive feedback; text messaging; video messaging; Computational modeling; Computers; Educational institutions; Media; Mediation; Mobile communication; Motion pictures; Pervasive emotion computing; emotion expression; emotion harmonization; mobile service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030559
  • Filename
    6030559