Interruption Detection in Conversational Sessions
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Solution Overview
Problem
Conventional information handling devices fail to recognize and respond appropriately to inputs from sources other than the user during a conversational session, leading to non-responsive outputs and user inconvenience due to inability to detect interruptions.
Innovation Solution
The device engages in a conversational session with a user, detects inputs from other sources using sensors and natural language processing, and performs actions such as pausing or saving the session in response to interruptions, mimicking human-like recognition and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device processes all inputs during a conversational session, then responsiveness is improved, but the device cannot distinguish between user inputs and interruptions from other sources
Solution Approach 1:
The patent introduces an intermediary component (interruption detection module) that sits between the input reception system and the conversational session manager. This intermediary analyzes incoming inputs to determine their source, filtering out interruptions from other sources before they reach the conversational session management logic, thereby enabling reliable session management while adapting to different input sources.
Solution Approach 2:
The patent segments the input processing function into distinct components: one handling user inputs and another detecting interruptions from other sources. By dividing the monolithic input processing into separate functional segments, the system can selectively route different types of inputs to appropriate handling logic, resolving the contradiction between maintaining session reliability and adapting to multiple input sources.
2Stability of the object's composition
If the device ignores inputs from other sources, then conversational session stability is improved, but the device becomes non-responsive to legitimate user inputs
Solution Approach 1:
The intermediary interruption detection module acts as a mediator that validates incoming inputs before they affect conversational session state. It distinguishes between legitimate user inputs that should be processed and spurious inputs from other sources that should be ignored, thereby maintaining session continuity while preserving responsiveness to valid user commands.
Solution Approach 2:
The system implements feedback mechanisms where the interruption detection module continuously monitors incoming inputs and provides feedback to the conversational session manager about the source and validity of each input. This feedback loop enables the system to dynamically adjust its responsiveness based on the current input source, maintaining session stability while remaining sensitive to legitimate user interactions.
Data Source
AI summary
One embodiment provides a method, including: engaging, at an information handing device, in a conversational session with a user; receiving an input from a source other than the user during the conversational session; and performing, at the information handling device, an action related to the conversational input in response to the received input. Other aspects are described and claimed.