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Anonymous messaging to reduce noise pollution of other devices

IP.com Disclosure Number: IPCOM000199686D
Publication Date: 2010-Sep-14
Document File: 2 page(s) / 19K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system and method for one electronic device to detect sound waves emitted from another electronic device and determine whether the sound is a disruption to the user. If the sound is disruptive, then the system sends an anonymous message to the owner of the sound’s source, informing them of the disruptive effects. The invention improves end-user experiences by allowing them to avoid confrontation with other users.

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Anonymous messaging to reduce noise pollution of other devices

In a mostly quiet group or public setting (e.g., libraries, office, conference rooms, classrooms, theaters, etc) many people are working with electronic devices such as laptops, cell phones, etc. These devices emit sounds upon the occurrence of certain events, for example receiving text messages, phone calls, emails or instant messages. This contributes to the overall noise pollution and can be inconvenient and sometimes distracting to other users in the area. Some users may not feel comfortable asking a person/peer to reduce the volume of the source device creating the distracting noise, and the problem goes unsolved.

The disclosed solution addresses the problem of electronic noise pollution in quiet area. It involves tagging/encoding sound waves with a unique identifier so that a system can identify the sound's transmitter (i.e., source). All other electronic devices (i.e., listeners) in the vicinity can then actively listen for sounds in the region, identify the source by decoding the unique identifier, and then determine whether the sound is loud, annoying or a nuisance (i.e. beyond one's tolerance level). If the sound meets the established criteria, then an anonymous message is sent back from the listener device to the source informing the owner of the source device about the problems that others in the vicinity are experiencing.

The ideal implementation is to avoid face-to-face confrontation and allow the listeners to send...