Relevance, a notion at the heart of information retrieval (IR), has received prolific attention in the textual IR domain. In this talk, David M Weigl will present the outcomes of a large-scale systematic analysis of the user-focused MIR literature to identify different conceptualizations of relevance in a musical context. The outcomes of the analysis establish a broad account of the state of knowledge in the field by triangulating convergent findings of disparate studies in order to identify areas of commonality, and outline several under-explored areas, pointing the way for future research.
Building on this foundation, David will present an investigation of rhythmic information as a relevance criterion, focusing on beat salience, a measure of the perceptual prominence of the beat in the context of finding music to move to. Employing a convergent-methods approach investigating perceptual beat induction, sensorimotor synchronization, and beat salience judgement, he will assess the validity and reliability of beat salience as a situational relevance criterion for use cases involving synchronized movement to music.