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Analogous to the trajectory of visual culture, moments of revelatory audio have long been used as storylines in many major films, underlining the importance of listening in to information conveyed via audio when the interpretation of that information is a fundamental component of the unfolding action. The scholarship has examined in some depth the limitations of listening and the physical/psychological principles behind it, in terms of the human being's capacity to capture information and filter-in only what is relevant and how the act of listening has influenced different cinematographic storylines. The architectural and urban environment in which the revelatory audio is framed, together with the technology used, shows a clear relationship to the unfolding action and shapes the appearance of cinematographic storytelling. Four types of listening-context are identified as possible narrative structures where revelatory audio manifests itself: the detective context, the political context, the psychoanalytical context, and the privileged-insight context. ; Análogamente a lo realizado con la cultura visual, el cine ha utilizado el sonido indiscreto como argumento en muchas películas importantes, recalcando la importancia de la escucha de mensajes sonoros cuya interpretación resultaría definitiva para el desarrollo de la acción. Se ha profundizado en las limitaciones y en los principios físicos y psicológicos que sustentan la escucha, en cuanto habilidad del ser humano para captar información y filtrar esta como relevante, y en cómo esta escucha ha influido en diferentes argumentos cinematográficos. El medio arquitectónico y urbano donde se produce el sonido indiscreto, junto con la tecnología empleada, muestra una clara relación con el desarrollo de la acción y condiciona la aparición de la argumentación cinematográfica. Se han conformado cuatro tipos de escucha como posibles estructuras narrativas donde se manifiesta el sonido indiscreto: la escucha detectivesca, la escucha política, la escucha psicoanalítica y la ...

In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on the quality of the final project and to find and assess common solution pathways in problem-solving behaviour. In this sense, we propose a new methodology for design tracking, based on the application of data analysis and machine learning techniques to data obtained in snapshots of selected design instants. This methodology has been applied in an experimental study, in which fifty-two novice designers were required to design a shelter with the help of a specifically developed computer tool that allowed collecting snapshots of the project at six selected design instants. The snapshots were described according to nine variables. Data analysis and machine learning techniques were then used to extract the knowledge contained in the data. More concretely, supervised learning techniques (decision trees) were used to find strategies employed in higher-quality designs, while unsupervised learning techniques (clustering) were used to find common solution pathways. Results provide evidence that supervised learning techniques allow elucidating the class of the best projects by considering the order of some of the decisions taken. Also, unsupervised learning techniques can find several common problem-solving pathways by grouping projects into clusters that use similar strategies. In this way, our work suggests a novel approach to design tracking, using quantitative analysis methods that can complement and enrich the traditional qualitative approach ; This work has been partially funded by the Spanish Government, Agencia Estatal de Investigación (AEI), and the European Union, Fondo Europeo de Desarrollo Regional (FEDER), grant TIN2016-80774-R (AEI/FEDER, UE). Funding for open access charge: Universidad de Málaga/CBUA.