The marks are on the knowledge worker
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding and reminding: file organization from the desktop
ACM SIGCHI Bulletin
Anytime/anyplace computing and the future of knowledge work
Communications of the ACM
Describing documents: what can users tell us?
Proceedings of the 9th international conference on Intelligent user interfaces
"Constant, constant, multi-tasking craziness": managing multiple working spheres
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
The perfect search engine is not enough: a study of orienteering behavior in directed search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
In pursuit of desktop evolution: User problems and practices with modern desktop systems
ACM Transactions on Computer-Human Interaction (TOCHI)
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
Connections: using context to enhance file search
Proceedings of the twentieth ACM symposium on Operating systems principles
What do people recall about their documents?: implications for desktop search tools
Proceedings of the 12th international conference on Intelligent user interfaces
Using context to assist in personal file retrieval
Using context to assist in personal file retrieval
What to do when search fails: finding information by association
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Report on the Principles of Provenance Workshop
ACM SIGMOD Record
In search of personal information: narrative-based interfaces
Proceedings of the 13th international conference on Intelligent user interfaces
Improved search engines and navigation preference in personal information management
ACM Transactions on Information Systems (TOIS)
Beagle++: semantically enhanced searching and ranking on the desktop
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
YouPivot: improving recall with contextual search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Which version is this?: improving the desktop experience within a copy-aware computing ecosystem
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reuse in the wild: an empirical and ethnographic study of organizational content reuse
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Spreadsheet-based complex data transformation
Proceedings of the 20th ACM international conference on Information and knowledge management
On slide-based contextual cues for presentation reuse
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Leyline: provenance-based search using a graphical sketchpad
Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval
SourceTrac: tracing data sources within spreadsheets
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
ICWE'12 Proceedings of the 12th international conference on Current Trends in Web Engineering
Automated data provenance capture in spreadsheets, with case studies
Future Generation Computer Systems
Towards an information architecture for flexible reuse of digital media
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
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In the field of Human-Computer Interaction, provenance refers to the history and genealogy of a document or file. Provenance helps us to understand the evolution and relationships of files; how and when different versions of a document were created, or how different documents in a collection build on each other through copy-paste events. Though methods for tracking provenance and the subsequent use of this meta-data have been proposed and developed into tools, there have been no studies documenting the types and frequency of provenance events in typical computer use. This is knowledge essential for the design of efficient query methods and information displays. We conducted a longitudinal study of knowledge workers at Intel Corporation tracking provenance events in their computer use. We also interviewed knowledge workers to determine the effectiveness of provenance cues for document recall. Our data shows that provenance relationships are common, and provenance cues aid recall.