Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Alves, T., Dias, C., Goncalves, D. & Gama, S. (2022). Exploring how temporal framing affects trust with time-series visualizations. ICGI 2022 - International Conference on Graphics and Interaction, Proceedings. IEEE. https://doi.org/10.1109/ICGI57174.2022.9990428
Exportar Referência (IEEE) 
T. A. Alves et al.,  "Exploring how temporal framing affects trust with time-series visualizations", in ICGI 2022 - Int. Conf. on Graphics and Interaction, Proc., IEEE, 2022
Exportar BibTeX 
@inproceedings{alves2022_1789161725864,
	author = "Alves, T. and Dias, C. and Goncalves, D. and Gama, S.",
	title = "Exploring how temporal framing affects trust with time-series visualizations",
	booktitle = "ICGI 2022 - International Conference on Graphics and Interaction, Proceedings",
	year = "2022",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICGI57174.2022.9990428",
	publisher = "IEEE",
	address = "",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/9990428"
}
Exportar RIS 
TY  - CPAPER
TI  - Exploring how temporal framing affects trust with time-series visualizations
T2  - ICGI 2022 - International Conference on Graphics and Interaction, Proceedings
AU  - Alves, T.
AU  - Dias, C.
AU  - Goncalves, D.
AU  - Gama, S.
PY  - 2022
DO  - 10.1109/ICGI57174.2022.9990428
UR  - https://ieeexplore.ieee.org/document/9990428
AB  - Trust is one of the most relevant factors when users build knowledge from visualization to predict whether they will use the represented information. In particular, trust perception is the user's subjective evaluation of the quality and reliability of the visualized information. However, research leveraging information visualization techniques to study trust perception is limited. This work studies whether varying the temporal framing of line charts affects trust perception in an uncertain scenario. Our results suggest that granularity may be relevant for time-based visualization design. In particular, individuals trust more in a line chart with a higher number of data points and interact more with a line chart in which they trust less. These findings contribute to the state-of-the-art research in visual analytic systems by empowering designers to understand how trust perception in a health emergency scenario varies for line charts with different temporal frames.
ER  -