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 Interface for Analysis of Digital Storytelling / Gloder, Alberto; Ducceschi, Luca; Zancanaro, Massimo. - (2020), pp. 1-5. (Intervento presentato al convegno 2020 International Conference on Advanced Visual Interfaces, AVI 2020 tenutosi a Island of Ischia, ita nel 28th September - 2nd October 2020) [10.1145/3399715.3399859].
A Language-based Interface for Analysis of Digital Storytelling
Gloder, Alberto;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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