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Overtaking as an interactional achievement : video analyses of participants' practices in traffic
(2018)
In this article we pursue a systematic and extensive study of overtaking in traffic as an interactional event. Our focus is on the accountable organisation and accomplishment of overtaking by road users in real-world traffic situations. Data and analysis are drawn from multiple research groups studying driving from an ethnomethodological and conversation analytic perspective. Building on multimodal and sequential analyses of video recordings of overtaking events, the article describes the shared practices which overtakers and overtaken parties use in displaying, recognizing and coordinating their manoeuvres. It examines the three sequential phases of an overtaking event: preparation and projection; the overtaking proper; the re-alignment post-phase including retrospective accounts and assessments. We identify how during each of these phases drivers and passengers organize intra-vehicle and inter-vehicle practices: driving and non-driving related talk between vehicle- occupants, the emerging spatiotemporal ecology of the road, and the driving actions of other road users. The data is derived from a two camera set-up recording the road ahead and car interior. The recordings are from three settings: daily commuting, driving lessons, race-car coaching. The events occur on a variety of road types (motorways, country roads, city streets, a race track, etc.), in six languages (English, Finnish, French, German, Italian, and Swedish) and in seven countries (Australia, Finland, France, Germany, Sweden, Switzerland, and the UK). From an exceptionally diverse collection of video data, the study of which is made possible thanks to the innovative collaboration of multiple researchers, the article exhibits the range of practical challenges and communicative skills involved in overtaking.
Cette contribution propose une analyse qualitative et quantitative des reformulations sur des données interactionnelles. Pour la constitution du corpus d’étude, nous nous appuyons sur un outil de détection automatique des hétéro-répétitions, considérées comme indices de reformulation. Après avoir illustré les éléments qui ont présidé à la conception de l’outil, nous présentons le paramétrage de cette ressource, que nous avons testée sur quatre enregistrements de la base de données CLAPI. Cette étude souligne la pertinence de l’approche interactionnelle dans l’analyse des hétéro-répétitions, en en montrant les fonctionnalités multiples, notamment dans les pratiques de reformulation dans la conversation.