Image-Responsive Automated Assistant Conversation Mode Selection
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Solution Overview
Problem
Existing human-to-computer dialog systems, such as automated assistants or chatbots, often require arduous input methods, may compromise user privacy, and lack efficiency in providing relevant information without requiring extensive user interaction.
Innovation Solution
The system processes images from a client device's camera to determine attributes of objects, selects a conversation mode based on these attributes, and displays selectable elements corresponding to the conversation mode, allowing users to interact with the assistant without needing arduous input or compromising privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users provide commands through spoken or textual input, then the automated assistant can process and respond to commands, but the input process becomes arduous and time-consuming
Solution Approach 1:
The patent replaces the mechanical input methods (typing, speaking) with an optical recognition system. The camera captures images of objects, and the system automatically identifies and processes commands based on visual recognition of objects in the environment, eliminating the need for manual input actions.
Solution Approach 2:
The system enables self-service by automatically capturing environmental context through the camera, identifying objects and their attributes, and generating appropriate commands or responses without requiring user initiation or input. The automated assistant independently processes visual information to fulfill user needs.
2Adaptability or versatility
If images are transmitted to remote devices for processing, then conversation mode selection can be achieved, but user privacy is compromised
Solution Approach 1:
The patent introduces an intermediary processing layer that extracts only essential attributes (object type, color, shape) from images before transmission. This intermediary step preserves privacy by removing identifiable visual information while retaining sufficient data for conversation mode selection and command generation.
Solution Approach 2:
The system extracts only the necessary semantic attributes from images (such as object classification, color, and shape) rather than transmitting the complete image data. This extraction process isolates the essential information needed for functionality while leaving out privacy-sensitive visual details.
3Adaptability or versatility
If multiple conversation modes are always presented to users, then users have more options, but the interface complexity increases
Solution Approach 1:
The patent applies local quality by customizing the interface based on the detected object attributes. Different conversation modes are selectively presented based on the specific object type, color, and shape identified in the image, rather than displaying all possible modes uniformly. This creates a tailored interface that adapts to the local context of each interaction.
Solution Approach 2:
The interface dynamically adjusts which conversation modes are presented based on real-time image analysis results. The system transitions from a static, fixed interface to a dynamic one that reconfigures available options according to the detected object characteristics, optimizing both versatility and simplicity.
Data Source
AI summary
Techniques described herein enable a user to interact with an automated assistant and obtain relevant output from the automated assistant without requiring arduous typed input to be provided by the user and/or without requiring the user to provide spoken input that could cause privacy concerns (e.g., if other individuals are nearby). The assistant application can operate in multiple different image conversation modes in which the assistant application is responsive to various objects in a field of view of the camera. The image conversation modes can be suggested to the user when a particular object is detected in the field of view of the camera. When the user selects an image conversation mode, the assistant application can thereafter provide output, for presentation, that is based on the selected image conversation mode and that is based on object(s) captured by image(s) of the camera.