Fisheye word cloud for temporal sentiment exploration

Authors:
Ji Wang;Kyle D. Dent;Chris L. North
Affiliations:
Virginia Tech, Blacksburg, VA, USA;Palo Alto Research Center (PARC), Palo Alto, California, USA;Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

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.