Previous work demonstrates that music with more surprising chords tends to be perceived as more enjoyable than music with more conventional harmonic structures. In that work, harmonic surprise was computed based upon a static distribution of chords. This would assume that harmonic surprise is constant over time, and the effect of harmonic surprise on music preference is similarly static. In this study we assess that assumption and establish that the relationship between harmonic surprise (as measured according to a specific time period) and music preference is not constant as time goes on. Analyses of harmonic surprise and preference from 1958 to 1991 showed increased harmonic surprise over time, and that this increase was significantly more pronounced in preferred songs. Separate analyses showed similar increases over the years from 2000 to 2019. As such, these findings provide evidence that the human perception of tonality is influenced by exposure. Baseline harmonic expectations that were developed through listening to the music of “yesterday” are violated in the music of “today,” leading to preference. Then, once the music of “today” provides the baseline expectations for the music of “tomorrow,” more pronounced violations—and with them, higher harmonic surprise values—become associated with preference formation. We call this phenomenon the “Inflationary-Surprise Hypothesis.” Support for this hypothesis could impact the understanding of how the perception of tonality, and other statistical regularities, are developed in the human brain.

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Music is an integral part of high school students' daily lives, and most use digital music devices and services. The oneweek Summer Music Technology (SMT) program at Drexel University introduces underclassmen high school students to music technology to reveal the influence and importance of engineering, science, and mathematics. By engaging participants' affinity for music, we hope to motivate and catalyze curiosity in science and technology. The curriculum emphasizes signal processing concepts, tools, and methods through hands-on activities and individual projects and leverages computer-based learning and open-source software in most activities. Since the program began in 2006, SMT has enrolled nearly 100 high school students and further developed the communication and teaching skills of nearly 20 graduate and undergraduate engineering students serving as core instructors. The program also serves to attract students from backgrounds under-represented in engineering, math, and science who may not have considered these fields.

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