Wearable Device Event Detection and Communication Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users operating wearable communications appliances face significant challenges in efficiently communicating with call centers, requiring multiple steps and tasks such as entity selection, mode selection, and inputting content, which can be cumbersome and time-consuming.
Innovation Solution
A wearable device with a processor, user interface, sensor, and network interface that detects events using input data from sensors like optical recognition, bio-sensors, or microphones, establishes a network link, and transmits requests to a call center, allowing for automated interaction and routing of requests based on detected events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually perform communications tasks (entity selection, mode selection, inputting content) to communicate with call centers, then communication functionality is achieved, but user effort and time consumption increase significantly
Solution Approach 1:
The system performs preliminary actions by detecting events (such as identifying a call center entity in the user's field of view) and automatically initiating communication requests before the user has to manually select entities or input content. The wearable device captures images, identifies call centers, and prepares communication requests in advance, eliminating the need for manual entity selection and mode selection.
Solution Approach 2:
The system enables self-service communication by automatically detecting events, generating requests, and initiating communications without requiring user intervention for each step. The wearable device serves itself by using its sensors to detect call centers and automatically forming communication requests, reducing user effort to minimal actions.
2Extent of automation
If the system automates communication by detecting events and transmitting requests, then user effort is reduced, but the device complexity increases
Solution Approach 1:
The wearable device integrates multiple functions into a single platform: it serves as a camera for capturing images, an optical recognition system for identifying call centers, a communication device for transmitting requests, and a user interface for receiving minimal input. This multi-functionality reduces the need for separate devices while enabling automated communication.
Solution Approach 2:
The system introduces an intermediary layer (the wearable device with automatic recognition and request generation capabilities) between the user and the call center communication process. This intermediary handles the complex tasks of entity detection, request formation, and communication initiation, simplifying the user's interaction while managing device complexity internally.
Data Source
AI summary
A system including: a processor; and memory, the memory storing instructions that, when executed by the processor, cause the processor to: receive a request received over a network link, the network link being established between the system and a wearable computing device, the request comprising data corresponding to an event detected by the wearable computing device; and route the request to a resource in accordance with the data of the request.