CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An organic user interface for searching citation links
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bricks: laying the foundations for graspable user interfaces
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A theory of stimulus-response compatibility applied to human-computer interaction
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation and analysis of users' activity organization
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '82 Proceedings of the 1982 Conference on Human Factors in Computing Systems
Spotlight: directing users' attention on large displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CiteSense: supporting sensemaking of research literature
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The effects of empathetic virtual characters on presence in narrative-centered learning environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Citedness, uncitedness, and the murky world between
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Some statistical analyses of CHI
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Directing exploratory search: reinforcement learning from user interactions with keywords
Proceedings of the 2013 international conference on Intelligent user interfaces
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Citeology is an interactive visualization that looks at the relationships between research publications through their use of citations. The sample corpus uses all 3,502 papers published at ACM CHI and UIST between 1982 and 2010, and the 11,699 citations between them. A connection is drawn between each paper and all papers which it referenced from the collection. For an individual paper, the resulting visualization represents a "family tree" of sorts, showing multiple generations of referenced papers which the target paper built upon, and all descendant generations of future papers.