The work presented in this thesis is part of the SPARK project. The SPARK project aims at developing an ICT platform that exploits the potential of Spatial Augmented Reality (SAR) for supporting the collaborative creative thinking in the design process. To comprehend how, and to what extent, the SAR platform may impact the co-design activity, the development process has been supported by the design protocol analysis (DPA). However, performing the design protocol analysis with respect to the co-design sessions conducted during the experimental tests requires a lot of man-hours. The time required to perform the DPA becomes critical if a large number of experimental tests has to be analyzed. In this thesis it is proposed a method that allows to perform the fast design protocol analysis (FDPA). The original method exploits the log files that are automatically generated by the platform during the experimental tests. The generated log files store a plethora of information regarding the interactions of the designer with the support. The objective is to perform automatic analyses starting from the information contained in the log files that lead to results similar to those obtained through the DPA, but in a fraction of the time. The achievement of this objective indicates that the automatic analysis of the log files (log analysis, LA) is, indeed, a viable substitute to the DPA. Moreover, the original method presented in this thesis is also implementable in other branches of the study of cognitive processes, suggesting that its advantages may be exploited in a broad array of studies. The results obtained during the analysis campaign of this thesis will also be analyzed from the perspective of the comparison between the different supports implemented in the experimental tests. However, this thesis does not aim at determining which is the best support to the design activity, but it only provides preliminary conclusions on the impacts that each support has on the co-design activity.
Il lavoro presentato in questa tesi fa parte del progetto SPARK. Il progetto SPARK mira a sviluppare una piattaforma ICT in grado di sfruttare il potenziale della Spatial Augmented Reality (SAR) per supportare il pensiero creativo collaborativo nel processo di progettazione. Per comprendere come e in che misura la piattaforma SAR possa avere un impatto sull'attività di co-design, il processo di sviluppo è stato supportato dalla design protocol analysis (DPA). Tuttavia, l'esecuzione della design protocol analysis rispetto alle sessioni di co-design condotte durante i test sperimentali richiede molte ore lavorative. Il tempo richiesto per eseguire la DPA diventa fondamentale se si deve analizzare un gran numero di test sperimentali. In questa tesi viene proposto un metodo che consente di eseguire l'analisi rapida del protocollo di progettazione (fast design protocol analysis, FDPA). Il metodo originale sfrutta i file di registro (log files) che vengono generati automaticamente dalla piattaforma durante i test sperimentali. I file di registro generati contengono una quantità di informazioni relative alle interazioni tra il designer e il supporto. L'obiettivo è di eseguire analisi automatiche, a partire dalle informazioni contenute nei file di log, che portano a risultati simili a quelli ottenuti attraverso la DPA, ma in una frazione del tempo. Il raggiungimento di questo obiettivo indicherebbe che l'analisi automatica dei file di registro (log analysis, LA) è, in effetti, un valido sostituto del DPA. Inoltre, il metodo originale presentato in questa tesi è anche implementabile in altri rami dello studio dei processi cognitivi, suggerendo che i suoi vantaggi possono essere sfruttati in una vasta gamma di studi. I risultati ottenuti durante la campagna di analisi di questa tesi saranno inoltre analizzati dal punto di vista del confronto tra i diversi supporti implementati nei test sperimentali. Tuttavia, questa tesi non mira a determinare quale sia il miglior supporto per l'attività di progettazione, ma fornisce solo conclusioni preliminari sugli impatti che ciascun supporto ha sull'attività di co-design.
Fast design protocol analysis (FDPA) through log file processing
CARBONE, NICOLAS
2017/2018
Abstract
The work presented in this thesis is part of the SPARK project. The SPARK project aims at developing an ICT platform that exploits the potential of Spatial Augmented Reality (SAR) for supporting the collaborative creative thinking in the design process. To comprehend how, and to what extent, the SAR platform may impact the co-design activity, the development process has been supported by the design protocol analysis (DPA). However, performing the design protocol analysis with respect to the co-design sessions conducted during the experimental tests requires a lot of man-hours. The time required to perform the DPA becomes critical if a large number of experimental tests has to be analyzed. In this thesis it is proposed a method that allows to perform the fast design protocol analysis (FDPA). The original method exploits the log files that are automatically generated by the platform during the experimental tests. The generated log files store a plethora of information regarding the interactions of the designer with the support. The objective is to perform automatic analyses starting from the information contained in the log files that lead to results similar to those obtained through the DPA, but in a fraction of the time. The achievement of this objective indicates that the automatic analysis of the log files (log analysis, LA) is, indeed, a viable substitute to the DPA. Moreover, the original method presented in this thesis is also implementable in other branches of the study of cognitive processes, suggesting that its advantages may be exploited in a broad array of studies. The results obtained during the analysis campaign of this thesis will also be analyzed from the perspective of the comparison between the different supports implemented in the experimental tests. However, this thesis does not aim at determining which is the best support to the design activity, but it only provides preliminary conclusions on the impacts that each support has on the co-design activity.| File | Dimensione | Formato | |
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2018_4_Carbone.pdf
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Descrizione: Testo della tesi
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https://hdl.handle.net/10589/139983