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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. & Henriques-Calado, J. (2022). How personality and visual channels affect insight generation. Proceedings - 2022 IEEE 9th Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV 2022 (pp. 47?55). IEEE. https://doi.org/10.1109/BELIV57783.2022.00010
Exportar Referência (IEEE)
T. A. Alves et al.,  "How personality and visual channels affect insight generation", in Proc. - 2022 IEEE 9th Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV 2022, IEEE, 2022, pp. 47-55
Exportar BibTeX
@inproceedings{alves2022_1789161726141,
	author = "Alves, T. and Dias, C. and Goncalves, D. and Gama, S. and Henriques-Calado, J.",
	title = "How personality and visual channels affect insight generation",
	booktitle = "Proceedings - 2022 IEEE 9th Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV 2022",
	year = "2022",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/BELIV57783.2022.00010",
	pages = "47-55",
	publisher = "IEEE",
	address = "",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/9978495"
}
Exportar RIS
TY  - CPAPER
TI  - How personality and visual channels affect insight generation
T2  - Proceedings - 2022 IEEE 9th Workshop on Evaluation and Beyond - Methodological Approaches to Visualization, BELIV 2022
AU  - Alves, T.
AU  - Dias, C.
AU  - Goncalves, D.
AU  - Gama, S.
AU  - Henriques-Calado, J.
PY  - 2022
SP  - 47-55
DO  - 10.1109/BELIV57783.2022.00010
UR  - https://ieeexplore.ieee.org/document/9978495
AB  - Gaining insight is considered one of the relevant purposes of visual data exploration, yet studies that categorize insights are rare. This paper reports on a study to understand if the categorization model used to describe insights and personality factors affect insight-based evaluations' findings. Participants completed a set of tasks with three hierarchical visualizations and then reported what insights they could gather from them. Results show that the insight categorization taxonomies produce different descriptions of insights based on the same corpus of responses. In addition, our findings suggest that the openness to experience trait positively influences the number of reported insights. Both these factors may create obstacles to the design of insight-based evaluations and, consequently, should be controlled in the experimental design. We discuss the study implications, lessons learned, and future work opportunities.
ER  -