Fisheye Word Cloud for temporal sentiment exploration

Details

Event ACM Conference on Human Factors in Computing Systems (CHI 2013)

Authors

Ji Wang
Dent, Kyle
Technical Publications
April 27th 2013
This poster abstract presents a new word cloud technique, the Fisheye Word Cloud, for exploring time-series data in a focused+context approach to analyzing word data. Our design has two features: cursor-centric layout and word cloud generation on demand. We conducted a validation study to evaluate how our Fisheye Word Cloud influences user performance in comparison tasks of time-series data. Based on task completion time and a TLX-based Likert-style questionnaire, we found the Fisheye Word Cloud has faster task completion time and a better user satisfaction level than the alternative we reviewed.

Citation

Wang, J.; Dent, K.; North, C. Fisheye Word Cloud for temporal sentiment exploration. ACM CHI 2013 Extended Abstracts on Human Factors in Computing Systems; 2013 April 27 - May 2; Paris, France. NY: ACM; 2013; 1767-1772.

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