TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Kauer, Tobias
A1  - Dörk, Marian
A1  - Bach, Benjamin
IN  - Institute of Electrical and Electronics Engineers (IEEE)
T1  - Towards Collective Storytelling
BT  - Investigating Audience Annotations in Data Visualizations
JF  - IEEE Computer Graphics and Applications
N2  - This work investigates personal perspectives in visualization annotations as devices for collective data-driven storytelling. Inspired by existing efforts in critical cartography, we show how people share personal memories in a visualization of COVID-19 data and how comments by other visualization readers influence the reading and understanding of visualizations. Analyzing interaction logs, reader surveys, visualization annotations, and interviews, we find that reader annotations help other viewers relate to other people's stories and reflect on their own experiences. Further, we found that annotations embedded directly into the visualization can serve as social traces guiding through a visualization and help readers contextualize their own stories. With that, they supersede the attention paid to data encodings and become the main focal point of the visualization.
AB  - This work investigates personal perspectives in visualization annotations as devices for collective data-driven storytelling. Inspired by existing efforts in critical cartography, we show how people share personal memories in a visualization of COVID-19 data and how comments by other visualization readers influence the reading and understanding of visualizations. Analyzing interaction logs, reader surveys, visualization annotations, and interviews, we find that reader annotations help other viewers relate to other people's stories and reflect on their own experiences. Further, we found that annotations embedded directly into the visualization can serve as social traces guiding through a visualization and help readers contextualize their own stories. With that, they supersede the attention paid to data encodings and become the main focal point of the visualization.
KW  - Annotation
KW  - COVID-19
KW  - Data Mining
KW  - Kartografie
KW  - Künstliche Intelligenz
KW  - Soziales Netzwerk
KW  - Visualisierung
Y1  - 2025
SN  - 0272-1716
SS  - 0272-1716
SN  - 1558-1756
SS  - 1558-1756
U6  - https://doi.org/10.1109/MCG.2025.3547944
DO  - https://doi.org/10.1109/MCG.2025.3547944
VL  - 45
IS  - 3
SP  - 17
EP  - 31
CY  - New York
ER  -