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