THESIS
2021
1 online resource (x, 47 pages) : color illustrations
Abstract
With an appealing form and a straightforward encoding of information, wordle, or
word cloud, stays popular among the public to present a summary of the text. Inspired
by the success of animated text in the film industry, we explore to enhance the
communication of emotional context of wordle using animation. To inform our design,
we first review a variety of animated text designs in the wild and summarize a design
space for animated wordle. Then we conduct a preliminary study on initial designs of
the animated wordle and identify two potential factors that link animation with
emotion: entropy (randomness) and playing speed. Working with designers, we present
four animated schemes in line with the two factors and validate the designs in a
crowdsourcing study. A prototype system is provide...[
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With an appealing form and a straightforward encoding of information, wordle, or
word cloud, stays popular among the public to present a summary of the text. Inspired
by the success of animated text in the film industry, we explore to enhance the
communication of emotional context of wordle using animation. To inform our design,
we first review a variety of animated text designs in the wild and summarize a design
space for animated wordle. Then we conduct a preliminary study on initial designs of
the animated wordle and identify two potential factors that link animation with
emotion: entropy (randomness) and playing speed. Working with designers, we present
four animated schemes in line with the two factors and validate the designs in a
crowdsourcing study. A prototype system is provided as a demonstration of a potential
application of our findings, enabling fast generation of an “emordle”, an abbreviation
for “animated emotional wordle”, from a static wordle. In the following interviewed-based
usability study, users are generally satisfied with the tool expressiveness and its
convenience. We conclude with implications from our user study and a discussion of
future directions for integrating emotion with data-powered narration.
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