Multi-Device Shopping Interface with Virtual Try-On
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Solution Overview
Problem
The existing online shopping experience using a digital television is cumbersome due to slow textual input methods and difficulties in reading and providing information, making it frustrating for users to enter data or browse content effectively.
Innovation Solution
The system extends the shopping experience by allowing users to interact with a digital television and another computing device, such as a tablet or smartphone, to browse and select items, provide information, and complete orders, using voice commands, physical gestures, and other input methods, enabling a more immersive and efficient shopping experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users interact with a digital television using a remote control and on-screen keyboard, then the system provides a unified interface, but the typing speed becomes extremely slow and text input becomes cumbersome
Solution Approach 1:
The patent introduces a mobile computing device as an intermediary between the user and the digital television system. The mobile device handles text input through its own keyboard or voice recognition capabilities, then transmits the input data to the television system. This mediator approach allows users to leverage the mobile device's efficient input methods while still accessing the television's display and processing capabilities.
Solution Approach 2:
The patent replaces the mechanical remote control navigation method with voice recognition technology. Instead of physically navigating through an on-screen keyboard using arrow buttons, users can speak their input which is captured and processed by the system. This substitution dramatically improves typing speed and reduces the physical effort required for text input.
2Area of stationary object
If users browse content on a digital television with a large display, then visual presentation is enhanced, but reading paragraphs of text becomes challenging
Solution Approach 1:
The patent divides the shopping experience into two segments: the digital television handles visual display of images and videos, while the mobile computing device handles text-related tasks such as browsing descriptions, reading reviews, and displaying keyboard input. This segmentation allows each device to optimize its strengths - the television provides immersive visual content while the mobile device provides comfortable text interaction.
Solution Approach 2:
The patent adds a spatial dimension to the interaction by introducing a second device (mobile computing device) that the user can hold at an optimal viewing distance. Instead of trying to read text on the large television screen from a distance, users can transfer text content to the mobile device where it can be viewed up close with proper formatting and font sizes.
3Reliability
If users provide detailed information for shopping orders on a digital television, then the system maintains security and accuracy, but the process becomes frustrating and time-consuming
Solution Approach 1:
The patent enables users to pre-fill shopping information such as shipping addresses, payment methods, and contact details on their mobile computing device before initiating the purchase on the digital television system. The system stores this information and automatically retrieves it during the checkout process, eliminating the need for users to re-enter the same data repeatedly and significantly reducing order completion time while maintaining accuracy.
Data Source
AI summary
Disclosed are various embodiments for facilitating a shopping experience that spans multiple display devices of multiple computing devices. Image data for a selected item is obtained from an item catalog. The selected item corresponds to a user selection made via a first computing device. An image of the user is obtained. An image of the selected item is rendered relative to the image of the user on a display of a second computing device. The image of the selected item is generated from the image data.