• DocumentCode
    725805
  • Title

    Towards Emotion-Based Collaborative Software Engineering

  • Author

    Dewan, Prasun

  • Author_Institution
    Univ. of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  • fYear
    2015
  • fDate
    18-18 May 2015
  • Firstpage
    109
  • Lastpage
    112
  • Abstract
    There is a symbiotic relationship between collaborative software engineering and the recent research in detection of four kinds of task-based emotions: interruptibility, difficulty perception, frustration, and attention. Predictions of these emotions can trigger opportunistic collaborations, make collaborations more purposeful, influence how activities are scheduled, and give implicit feedback from collaborators. Conversely, concepts from software engineering can further advance the nascent area of emotion detection by creating reusable analysis, annotation and prediction tools and architectures that make the notion of multi-iteration application- and emotion-independent prediction tractable.
  • Keywords
    emotion recognition; human factors; software engineering; annotation; attention; difficulty perception; emotion prediction; emotion-based collaborative software engineering; frustration; implicit feedback; interruptibility; multiiteration application; opportunistic collaboration; prediction tools; purposeful collaboration; reusable analysis; symbiotic relationship; task-based emotion detection; Collaborative software; Computer architecture; Face; Monitoring; Software; Software engineering; CSCW; affective computing; cognitive state; emotion awareness; emotion prediction; sentiment analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cooperative and Human Aspects of Software Engineering (CHASE), 2015 IEEE/ACM 8th International Workshop on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/CHASE.2015.32
  • Filename
    7166100