Designing and deploying an information awareness interface
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Heuristic evaluation of ambient displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Experience clip: method for user participation and evaluation of mobile concepts
PDC 04 Proceedings of the eighth conference on Participatory design: Artful integration: interweaving media, materials and practices - Volume 1
Understanding experience in interactive systems
DIS '04 Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques
A toolkit for managing user attention in peripheral displays
Proceedings of the 17th annual ACM symposium on User interface software and technology
International Journal of Human-Computer Studies
How emotion is made and measured
International Journal of Human-Computer Studies
Considerate home notification systems: a field study of acceptability of notifications in the home
Personal and Ubiquitous Computing
IM waiting: timing and responsiveness in semi-synchronous communication
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Researching emotion: challenges and solutions
Proceedings of the 2011 iConference
Emotion as an indicator for future interruptive notification experiences
CHI '12 Extended Abstracts on Human Factors in Computing Systems
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This paper describes a post-hoc analysis of the relationship between the socialness of an interruptive notification and the emotional tone of the words used to describe the experience through a One-Word-Response (OWR). Out of the 89 responses analyzed, 73% of participants used emotional words to describe their notification experiences. There was a significant relationship between the emotional tone of a OWR response and the socialness of an interruptive notification experience and participants were 3.2 more likely to describe social interruptive notifications with positive words than negative words.