Search Result Interaction Guidance via Segmented Regions
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Solution Overview
Problem
Current search engine technologies fail to provide an immersive and scene-based experience for users interacting with search results, limiting diversity in interaction methods such as browsing, listening, touching, sliding, scaling, and photographing.
Innovation Solution
An interaction method and device that extracts interaction instructions from user operations on a browser, generates guiding interaction steps based on preset rules, and prompts users to perform interactions with rich media search results, enabling diverse interactions like image and speech data collection and display for enhanced engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional search result display is used, then the search result can be displayed simply, but the user interaction diversity and immersion are limited
Solution Approach 1:
The search result page is segmented into multiple interactive regions (text search area, image search area, video search area, etc.), each supporting different interaction types. This allows diverse interactions without overwhelming complexity, as each segment handles specific interaction modes independently.
Solution Approach 2:
The search result page dynamically adapts its layout and interaction methods based on user behavior and search context. The system adjusts the display and interaction options in real-time, enabling immersive experiences while maintaining simplicity through adaptive design rather than fixed complex structures.
2Ease of operation
If multiple interaction ways are implemented, then user engagement is improved, but the system complexity increases
Solution Approach 1:
The system automatically detects user interaction intentions and provides appropriate guidance without requiring complex manual configuration. The interaction guidance mechanism self-adjusts based on user actions, reducing the burden on users while managing system complexity through automated response generation.
Solution Approach 2:
The system implements feedback loops where user interactions are monitored, and interaction guidance is dynamically adjusted accordingly. This feedback mechanism simplifies user operation by adapting to user needs while managing complexity through intelligent response generation based on observed behavior patterns.
3Loss of information
If rich media search results are displayed, then the scene-based experience is enhanced, but the information processing complexity increases
Solution Approach 1:
Different regions of the search result page are optimized for specific types of information and interactions. Text areas provide detailed descriptions, image areas offer visual exploration, and video areas enable auditory engagement. This local optimization ensures information completeness without requiring uniform complex processing across the entire page.
Solution Approach 2:
The system pre-processes and organizes rich media content before user interaction, structuring information in advance to reduce processing complexity during actual use. Interaction guidance is prepared in advance based on search context, enabling smooth information delivery without real-time processing bottlenecks.
Data Source
AI summary
The present disclosure provides an interaction method and an interaction device for a search result. The method includes: in response to determining that an interaction operation is performed, by a user of an electronic device, on the search result through a browser, extracting an interaction instruction based on the interaction operation; generating a guiding interaction step matching with the interaction instruction based on a preset rule; and prompting the user based on the guiding interaction step, such that the user performs interaction with the search result based on the guiding interaction step.