Ript
A simple transcription tool for conversation analysis. It solves three basic problems: finding symbols, numbering lines and styling multimodal transcripts.
My research examines language and embodied conduct in everyday social interaction.
I am Senior Lecturer in Linguistics at the University of York. I use conversation analysis (CA) to study video recordings of everyday activities, investigating how people take turns, organize sequences of action, resolve problems of speaking and understanding, and recruit assistance. Language is fundamentally multimodal, so my research attends not only to the words speakers produce but also to their gestures, gaze, and other visible bodily actions. Close observation and sequential analysis underpin all my work, often in combination with quantitative, experimental and cross-linguistic methods and in collaboration with colleagues across disciplines.
My current interests include: addressee points in both conflictual and cooperative interactions; the uses of AI in conversation analytic research and teaching; and assistance in dementia care, as an extension of my research on recruitment.
Recent and representative work.
I teach conversation analysis as a method of discovery. At every level, from undergraduate courses to doctoral supervision, students learn to record naturally occurring interaction, identify interactional phenomena, build collections of cases, and develop analyses of them. I also create open materials for anyone learning these methods.
I have developed several tools and resources for conversation analysts.
A simple transcription tool for conversation analysis. It solves three basic problems: finding symbols, numbering lines and styling multimodal transcripts.
Prompts, example materials and reference files for using AI in conversation analysis, written to be read by people and by AI agents. The collection begins with the supplementary materials for “Using AI for teaching and learning CA” (Research on Language and Social Interaction, in press).