Browse Prior Art Database

Method for Seamless Operational Feedback with Mobile Device Assist Disclosure Number: IPCOM000246391D
Publication Date: 2016-Jun-03
Document File: 4 page(s) / 65K

Publishing Venue

The Prior Art Database


Disclosed is a method to provide seamless feedback on equipment design and operation to manufacturers and/or other parties. It does so through point-to-point connections with mobile devices (including both mobile phones and other wearable computational devices) and uses natural language processing to report this feedback to the appropriate authority.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 38% of the total text.

Page 01 of 4

Method for Seamless Operational Feedback with Mobile Device Assist

Customers have to methods through which to provide product feedback. A user who wants to complain, make suggestions for improvement, or otherwise provide commentary on a product may need to log into a manufacturer's website and populate an electronic form or create entries in an online user forum. Such methods were effective when introduced early in the days of the Internet, but inherently involve a level of frustration, can be restrictive (i.e., for entering explanations) and time-consuming.

Accordingly, users who have potential feedback or suggestions often fail to relay the ideas, resulting in lost opportunities for manufacturers, distributors, and users. The core problem is that manufacturers do not receive feedback because users do not

want to lose time completing electronic forms or reports.

Cognitive Internet of Things (IoT) enhancements can improve the customer feedback process.

The novel contribution is a method that provides a means for device manufacturers to gather feedback from the field in a natural and intuitive manner. This solution tethers tools and equipment to a mobile device, and allows the mobile device to capture the feedback in situ , by passing information back to the tool manufacturer or other third party service. This approach is firstly intended for complex tools, as might be found on construction sites or factory floors, but is highly extensible to appliances, consumer devices, and other applications for physical equipment.

The elements important for collecting "low friction" or natural product feedback include:

A mechanism to identify the device in question

A method to correlate the device in use to a canonical design, such as that signified by manufacturer and part number
A method to collect a natural language query and relay it to the manufacturer or third party service

A method to, in turn, provide information to the tool user, whether as benign as confirmation of feedback received, or as complex as corrective actions for common usage errors

The first two elements imply embedded identifiers (IDs) that can serve as queries to device look-up tables, correlating a unique ID to a specific make and model of tool. The latter two elements imply a microphone for collecting information, and a screen for subsequent display of corrective actions. It may be further noted that putting microphones and screens on tools and appliances ,

whether drills, chain saws, dishwashers, excavators, or jackhammers, may be neither cost effective nor reliable, due to the physical environments in which equipment may operate. However, unique identifiers may be programmed onto chips and placed within such devices. Furthermore, such devices can be easily equipped with low-energy radio frequency capabilities, such as Bluetooth*


Page 02 of 4

Low Energy (BLE) or Near Field Communication (NFC). Consider further that mobile phones are ubiquitous, and ot...