In this paper, we introduce a tool aimed at supporting deep qualitative analysis of digital comics. The tool exploits language-based technologies to facilitate the exploration of relatively large sets of comics. The core idea is that the specific words used in the comics are both an important element of the analysis and an index to navigate and explore the dataset. The design concept has been validated in a pilot study and the findings provide evidence that the approach meets the needs of qualitative analysts with the potential of improving their practices.
A Language-based iterface for analysis of digital storytelling / Gloder, Alberto; Ducceschi, Luca; Zancanaro, Massimo. - (2020), pp. 1-5. (Intervento presentato al convegno AVI'20 tenutosi a Ischia nel 28 Settembre 2020) [10.1145/3399715.3399859].
A Language-based iterface for analysis of digital storytelling
Ducceschi, Luca;Zancanaro, Massimo
2020-01-01
Abstract
In this paper, we introduce a tool aimed at supporting deep qualitative analysis of digital comics. The tool exploits language-based technologies to facilitate the exploration of relatively large sets of comics. The core idea is that the specific words used in the comics are both an important element of the analysis and an index to navigate and explore the dataset. The design concept has been validated in a pilot study and the findings provide evidence that the approach meets the needs of qualitative analysts with the potential of improving their practices.| File | Dimensione | Formato | |
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