DocumentCode
2776177
Title
pieTime: Visualizing Communication Patterns
Author
Ng, Tiffany ; Zhao, Ou Jie ; Cosley, Dan
Author_Institution
Inf. Sci. Dept., Cornell Univ., Ithaca, NY, USA
fYear
2011
fDate
9-11 Oct. 2011
Firstpage
720
Lastpage
723
Abstract
This paper explores how aggregated behavioral data might help people reflect on patterns in their lives using pie Time, a visualization that presents communication activity aggregated at levels from hours in a day to months in a year. pie Time builds on recent work in conversation visualization and life logging by focusing on rhythms rather than details and supporting reflection across different media. An evaluation with 15 people supports findings from prior work about the importance of particular details and storytelling in tools that support reflection, even when the design goals emphasize higher-level patterns. Still, aggregate patterns provide additional insight into personal behavior, suggesting that systems that integrate both particulars and patterns may be especially valuable, especially when they also help people build and manage their identities.
Keywords
data visualisation; pattern classification; recording; social networking (online); aggregate patterns; aggregated behavioral data; communication activity; communication patterns visualization; conversation visualization; life logging; pieTime; storytelling; Aggregates; Data visualization; Electronic mail; Focusing; Media; Prototypes; Reflection; information visualization; lifelogging; reflection;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4577-1931-8
Type
conf
DOI
10.1109/PASSAT/SocialCom.2011.90
Filename
6113204
Link To Document