Page  152 ï~~Using State-of-the-Art Technologies to Investigate the Cognitive Mapping of Musical Intention to Performance Mary Ann Norris An analysis of acoustic and gestural data generated from virtuosic cello performances was conducted using advanced pitch-tracking techniques and state-of-the-art gesture tracking devices. During the academic year 1990-91 the cellist Yo-Yo Ma collaborated with the "Hyperinstrument" research group at the MIT Media Laboratory; one of the goals of the research group was to come up with a sophisticated gesture sensing platform to monitor Mr. Ma's playing. Mr. Ma and two other professional cellists participated in an experiment in which they played excerpts from standard cello repertoire. During performance, data was gathered from the "Hyperinstrument" gesture sensors (recording pressure data from the thumb and index finger on the bow and wrist angle of the bowing hand) and synchronized with the audio data, which was being digitally recorded. The acoustic data was analyzed with a non-real-time, high-resolution pitch tracker. Data was analyzed for the use of the following performance parameters under different experimental conditions: rubato, legato, vibrato, tuning, timing deviation, and bowing. Results from the analysis of the acoustic and gestural data suggest that the cognitive mapping of musical intention to performance can be characterized by a rule-governed usage of certain performance parameters and that these rules are generalizable across performers and instrument classes. ICMC 152