Intelligent Assistant Automates Virtual Meeting Join via Voice
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Solution Overview
Problem
Current intelligent assistants struggle to facilitate joining a virtual meeting efficiently in a hands-free mode, requiring manual input of conference call numbers and participant codes, which is inconvenient, especially in environments where such information is not readily accessible.
Innovation Solution
An intelligent assistant system that utilizes natural language understanding to interpret voice commands, searches for meeting information, and automatically joins the user to a virtual meeting by dialing the necessary numbers and entering participant codes, leveraging speech recognition and contextual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input methods are used to enter conference call numbers and participant codes, then accuracy of information input is improved, but time consumption and ease of operation deteriorate
Solution Approach 1:
The system pre-fetches meeting information (including conference call numbers and participant codes) from calendar events or meeting management systems before the user needs to join the meeting. This preliminary retrieval and preparation of data eliminates the need for manual input during the time-critical moment of meeting join, thus reducing time consumption while maintaining accuracy through automated data capture.
Solution Approach 2:
The intelligent assistant automatically performs the information input task by itself - retrieving meeting details, extracting conference call numbers and participant codes, and inputting them into the meeting joining system without requiring user intervention. The system serves itself by automating the entire information input process, thereby eliminating both time consumption and manual effort while preserving accuracy through automated data handling.
2Ease of operation
If manual input of meeting information is required, then ease of operation deteriorates, but device complexity remains manageable
Solution Approach 1:
The intelligent assistant automates the entire meeting joining process by itself - retrieving meeting information from calendar systems, extracting conference call details, and inputting data without user intervention. This self-service approach dramatically improves ease of operation (users only need to speak a simple command) while the added complexity is confined to the assistant's automated processing layer, keeping the core device architecture manageable.
Solution Approach 2:
The intelligent assistant acts as an intermediary layer between the user and the complex meeting joining process. It handles the complexity of information retrieval, parsing, and input by itself, presenting only a simple voice command interface to the user. This intermediary approach improves ease of operation significantly while containing device complexity within the assistant's processing layer rather than requiring complex changes to the core device architecture.
3Ease of operation
If voice commands are used for hands-free operation, then ease of operation improves, but ability to input specific information (conference numbers, codes) deteriorates
Solution Approach 1:
The intelligent assistant performs the information input task automatically based on voice commands. When the user says something like 'Join my meeting,' the assistant itself retrieves the conference call number and participant code from stored meeting information and inputs them without requiring the user to manually type or speak each detail. This maintains hands-free operation while preserving complete information input capability through automated data retrieval and entry.
Solution Approach 2:
The system pre-retrieves and stores meeting information (conference call numbers, participant codes, meeting IDs) from calendar events and meeting management systems before the user needs to join. When a voice command is given, the assistant already has this information ready to input, eliminating the need for users to manually provide detailed information while maintaining hands-free operation. The preliminary preparation of data ensures both ease of operation and information input capability are preserved.
Data Source
AI summary
An intelligent assistant can be used to facilitate an end user's participation in a virtual meeting. The intelligent assistant can receive recognized speech from a speech recognition engine, and then forward the recognized speech to a natural language understanding engine which in turn ascribes a meaning to the recognized speech. The ascribed meaning can include a semantic representation of the recognized speech and thereby a semantic representation of voice commands enshrined within the recognized speech. Using the ascribed meaning, the intelligent assistant then searches for meeting information associated with the virtual meeting and uses that meeting information to join the end user to the virtual meeting. Meeting information can include a conference call number, a participant code, a moderator code or a link to an online meeting.