2018/11/16 by Ishwarya Ananthabhotla, Joseph A. Paradiso, Ananthabhotla, Ishwarya +1
Computer Science · Decision Sciences · Neuroscience · #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Information Retrieval (cs.IR) #Music and Audio Processing #Neuroscience and Music Perception #Personal Information Management and User Behavior #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1811.06859
openalex publication_date 2018/11/16 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
Drawing inspiration from the notion of cognitive incongruence associated with\nStroop's famous experiment, from musical principles, and from the observation\nthat music consumption on an individual basis is becoming increasingly\nubiquitous, we present the SoundSignaling system -- a software platform\ndesigned to make real-time, stylistically relevant modifications to a personal\ncorpus of music as a means of conveying information or notifications. In this\nwork, we discuss in detail the system's technical implementation and its\nmotivation from a musical perspective, and validate these design choices\nthrough a crowd-sourced signal identification experiment consisting of 200\nindependent tasks performed by 50 online participants. We then qualitatively\ndiscuss the potential implications of such a system from the standpoint of\nswitch cost, cognitive load, and listening behavior by considering the\nanecdotal outcomes of a small-scale, in-the-wild experiment consisting of over\n180 hours of usage from 6 participants. Through this work, we suggest a\nre-evaluation of the age-old paradigm of binary audio notifications in favor of\na system designed to operate upon the relatively unexplored medium of a user's\nmusical preferences.\n