Emma Cocker is a writer-artist and Associate Professor in Fine Art at Nottingham Trent University, UK. Her research enquiry unfolds at the threshold between writing/art, involving diverse process-oriented, dialogic-collaborative and aesthetic-poetic approaches to working with and through language. Cocker often works in collaboration with other artists on durational projects, where the studio-gallery or site-specific context is approached as a live laboratory for shared artistic research. Cocker’s writing has been published in Failure, 2010; Stillness in a Mobile World, 2010; Drawing a Hypothesis: Figures of Thought, 2011; Hyperdrawing: Beyond the Lines of Contemporary Art, 2012; On Not Knowing: How Artists Think, 2013; Choreo-graphic Figures: Deviations from the Line, 2017; The Creative Critic: Writing as/about Practice, 2018; Live Coding: A User's Manual, 2023, and in the solo collections, The Yes of the No, 2016, and How Do You Do?, 2025. Cocker is co-founder of the international Society for Artistic Research Special Interest Group for Language-based Artistic Research. See also https://orcid.org/0000-0002-2985-7839

Training: Micro-phenomenological Interview

Between 5 – 9 December 2022, I was undertaking training in Micro-phenomenological interview training online with Claire Petitmengin.

About: Micro-phenomenology is a new scientific discipline enabling us to discover ordinary inaccessible dimensions of our lived experience and describe them accurately and reliably. The development of this "psychological microscope" opens vast fields of investigation in the educational, technological, clinical and therapeutic, as well as artistic and contemplative domains.

Objective of the training: For the purpose of a research project, the course is aimed at mastering the micro-phenomenological interview, a method enabling the researcher to collect fine-grained descriptions of the lived experience associated with a given sensorial, emotional or cognitive process, or with a specific expertise, in order to gather a corpus of accurate data that are relevant for the research objective.

More here: https://www.microphenomenology.com/