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Tiffany Andry

dblp:244/3927 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
0009-0000-1139-5931ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Visualization and visual analytics · 77% Virtual and augmented reality · 23%
Human-computer interaction and pervasive computing
2 papers
Usability and user experience research · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
immersive visualization
0.812024
Memory Recall for Data Visualizations in Mixed Reality, Virtual Reality, 3D and 2D · IEEE Trans. Vis. Comput. Graph. 2024
Visualization and visual analytics › interactive visualization
mixed reality visualization
0.812024
Memory Recall for Data Visualizations in Mixed Reality, Virtual Reality, 3D and 2D · IEEE Trans. Vis. Comput. Graph. 2024
Visualization and visual analytics › perception
perception in visualization
0.812024
Memory Recall for Data Visualizations in Mixed Reality, Virtual Reality, 3D and 2D · IEEE Trans. Vis. Comput. Graph. 2024
Visualization and visual analytics › visual design
infographic design
0.512021
Interpreting the Effect of Embellishment on Chart Visualizations · CHI 2021
Visualization and visual analytics › visualization design
visual embellishment
0.512021
Interpreting the Effect of Embellishment on Chart Visualizations · CHI 2021

Methods — techniques the papers use, named apart from their topics

user study · 1.5questionnaire · 1.0interviews · 1.0eye tracking · 1.0
YearPublicationVenuePosition
2024 Memory Recall for Data Visualizations in Mixed Reality, Virtual Reality, 3D and 2D
abstract
This article explores how the ability to recall information in data visualizations depends on the presentation technology. Participants viewed 10 Isotype visualizations on a 2D screen, in 3D, in Virtual Reality (VR) and in Mixed Reality (MR). To provide a fair comparison between the three 3D conditions, we used LIDAR to capture the details of the physical rooms, and used this information to create our textured 3D models. For all environments, we measured the number of visualizations recalled and their order (2D) or spatial location (3D, VR, MR). We also measured the number of syntactic and semantic features recalled. Results of our study show increased recall and greater richness of data understanding in the MR condition. Not only did participants recall more visualizations and ordinal/spatial positions in MR, but they also remembered more details about graph axes and data mappings, and more information about the shape of the data. We discuss how differences in the spatial and kinesthetic cues provided in these different environments could contribute to these results, and reasons why we did not observe comparable performance in the 3D and VR conditions.
Christophe Hurter, Bernice E. Rogowitz, Guillaume Truong, Tiffany Andry, Hugo Romat, Ludovic Gardy, Fereshteh Amini, Nathalie Henry Riche
IEEE Trans. Vis. Comput. Graph.4
2021 Interpreting the Effect of Embellishment on Chart Visualizations
abstract
Infographics range from minimalism that aims to convey the raw data to elaborately decorated, or embellished, graphics that aim to engage readers by telling a story. Several studies have shown evidence to negative, but also positive, effects on embellishments. We conducted a set of experiments to gauge more precisely how embellishments affect how people relate to infographics and make sense of the conveyed story. By analyzing questionnaires, interviews, and eye-tracking data simplified by bundling, we show that, within bounds, embellishments have a positive effect on how users get engaged in understanding an infographic, with very limited downside. To our knowledge, our work is the first that fuses the aforementioned three information sources to understand infographics. Our findings can help to design more fine-grained studies to quantify the effects of embellishments and also to design infographics that effectively use the embellishments’ positive aspects identified. I think the contribution does not appear well in the abstract. It’s not just that the visual embellishments are positive. We show a methodology that allows us to see what these effects are (in addition to engagement, memorization and recall) at several levels (scales, interviews, eye tracking) which are therefore physiological and emotional. We could include this idea in the abstract?
Tiffany Andry, Christophe Hurter, François Lambotte, Pierre Fastrez, Alexandru C. Telea
CHI1