Multimodal Search allows users to search using multiple input types, such as text, voice, images, and gestures. The evolution of AI and machine learning has made multimodal search more effective and accessible.
Benefits:
- Natural Interaction: Accommodates various ways users express queries.
- Enhanced Accessibility: Provides options for users with different needs.
- Rich Contextual Understanding: Combines inputs for more precise results.
Examples:
- Visual Search: Uploading an image to find similar items.
- Voice Commands with Images: Describing a scene to retrieve related information.
In daily life, multimodal search enhances convenience, allowing users to find information in the way that suits them best. For example, taking a photo to search for a product online. For businesses, supporting multimodal search can improve user engagement and reach a wider audience. In marketing, it opens new channels for interacting with customers. Trust in multimodal search depends on its accuracy and user experience.
(See also Voice Search and Conversational AI.)