Abstract
We share our challenges and lessons learned in designing our exhibit prototype that encourages museum visitors to learn about marine animal behaviors through interactive visualization and data exploration. Our intent is to have visitors draw comparisons between animal behaviors, similarly to how scientists would, to make insights and discoveries. In our efforts, we have designed a set of visual encodings around the Tagging of Pelagic Predator (TOPP) data set to create the appropriate abstractions of this rich and complex field data. We have incorporated Multiple External Representations (MERs) and tangible user interfaces (TUIs) to provide a complementary representation of the data and promote self-learning. Through the formative evaluation, we can identify a few strengths and weaknesses of our prototype design. Our evaluation results suggest that we are progressing in the right direction - we observed the public making some comparisons and inferences - but still require further design iterations to improve our visualization exhibit.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings |
| Editors | Chuck Hansen, Ivan Viola, Xiaoru Yuan |
| Publisher | IEEE Computer Society |
| Pages | 259-263 |
| Number of pages | 5 |
| Volume | 2016-May |
| ISBN (Electronic) | 9781509014514 |
| DOIs | |
| State | Published - May 4 2016 |
| Event | 9th IEEE Pacific Visualization Symposium, PacificVis 2016 - Taipei, Taiwan, Province of China Duration: Apr 19 2016 → Apr 22 2016 |
Other
| Other | 9th IEEE Pacific Visualization Symposium, PacificVis 2016 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 4/19/16 → 4/22/16 |
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ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Software
Cite this
Fostering comparisons : Designing an interactive exhibit that visualizes marine animal behaviors. / Hsueh, Chien Hsin; Chu, Jacqueline; Ma, Kwan-Liu; Ma, Joyce; Frazier, Jennifer.
2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings. ed. / Chuck Hansen; Ivan Viola; Xiaoru Yuan. Vol. 2016-May IEEE Computer Society, 2016. p. 259-263 7465282.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fostering comparisons
T2 - Designing an interactive exhibit that visualizes marine animal behaviors
AU - Hsueh, Chien Hsin
AU - Chu, Jacqueline
AU - Ma, Kwan-Liu
AU - Ma, Joyce
AU - Frazier, Jennifer
PY - 2016/5/4
Y1 - 2016/5/4
N2 - We share our challenges and lessons learned in designing our exhibit prototype that encourages museum visitors to learn about marine animal behaviors through interactive visualization and data exploration. Our intent is to have visitors draw comparisons between animal behaviors, similarly to how scientists would, to make insights and discoveries. In our efforts, we have designed a set of visual encodings around the Tagging of Pelagic Predator (TOPP) data set to create the appropriate abstractions of this rich and complex field data. We have incorporated Multiple External Representations (MERs) and tangible user interfaces (TUIs) to provide a complementary representation of the data and promote self-learning. Through the formative evaluation, we can identify a few strengths and weaknesses of our prototype design. Our evaluation results suggest that we are progressing in the right direction - we observed the public making some comparisons and inferences - but still require further design iterations to improve our visualization exhibit.
AB - We share our challenges and lessons learned in designing our exhibit prototype that encourages museum visitors to learn about marine animal behaviors through interactive visualization and data exploration. Our intent is to have visitors draw comparisons between animal behaviors, similarly to how scientists would, to make insights and discoveries. In our efforts, we have designed a set of visual encodings around the Tagging of Pelagic Predator (TOPP) data set to create the appropriate abstractions of this rich and complex field data. We have incorporated Multiple External Representations (MERs) and tangible user interfaces (TUIs) to provide a complementary representation of the data and promote self-learning. Through the formative evaluation, we can identify a few strengths and weaknesses of our prototype design. Our evaluation results suggest that we are progressing in the right direction - we observed the public making some comparisons and inferences - but still require further design iterations to improve our visualization exhibit.
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UR - http://www.scopus.com/inward/citedby.url?scp=84973635803&partnerID=8YFLogxK
U2 - 10.1109/PACIFICVIS.2016.7465282
DO - 10.1109/PACIFICVIS.2016.7465282
M3 - Conference contribution
AN - SCOPUS:84973635803
VL - 2016-May
SP - 259
EP - 263
BT - 2016 IEEE Pacific Visualization Symposium, PacificVis 2016 - Proceedings
A2 - Hansen, Chuck
A2 - Viola, Ivan
A2 - Yuan, Xiaoru
PB - IEEE Computer Society
ER -