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
Link To Document :
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