Cross-modal interactions constantly occur when a musical instrument is played: Its perceived sound quality can be affected by its vibrotactile behavior, and its visual appearance may induce expectations that drive the musician’s way of playing. This article presents an exploratory setup in which the auditory, visual, and vibrotactile feedback of an electric guitar can be independently controlled by the player. The aim is to explore how these feedback modalities interact with each other in perceptual judgments. Verbal data and actions on the control interface were gathered during in situ interviews with five players. This pilot study suggests that the addition of sensory feedback (other than that resulting from the instrument’s usual sound production) can cause an increased feeling of immersion, an impression of sensory compensation, and an influence on the performer’s gestures and choice of repertoire.
Efficient consistency maintenance of incomplete and dynamic real-life databases is a quality label for further data analysis. In prior work, we tackled the generic problem of database updating in the presence of tuple generating constraints from a theoretical viewpoint. The current paper considers the usability of our approach by (a) introducing incremental update routines (instead of the previous from-scratch versions) and (b) removing the restriction that limits the contents of the database to fit in the main memory. In doing so, this paper offers new algorithms, proposes queries and data models inviting discussions on the representation of incompleteness on databases. We also propose implementations under a graph database model and the traditional relational database model. Our experiments show that computation times are similar globally but point to discrepancies in some steps.
