Virtual Assistant Ad Interaction via Voice Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional systems for presenting advertisements on mobile devices lack the ability to provide users with personalized and actionable information regarding advertising entities in a seamless manner, particularly when using voice input and virtual assistants.
Innovation Solution
A system that integrates a virtual assistant with a mobile device to detect voice input, identify user data associated with advertisements, and provide recommended actions based on this data, allowing users to interact with advertising entities through voice commands and virtual interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional systems present targeted advertisements to users, then users receive personalized ad content, but users cannot easily access actionable information about advertising entities
Solution Approach 1:
A virtual assistant serves as an intermediary between the user and advertising entity information. The virtual assistant receives voice inputs from users, processes requests for information about advertising entities, and returns actionable information such as business hours, directions, and reviews. This mediator eliminates the need for users to manually navigate multiple web pages and applications to obtain comprehensive information about advertised entities.
2Loss of information
If users manually access web browsers to get information about advertising entities, then users can find detailed information, but the process is time-consuming and not seamless
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing information about advertising entities in advance. When advertisements are presented to users, the corresponding information about the advertising entities is already prepared and stored in an accessible format. When users make voice requests, the virtual assistant can immediately retrieve and present pre-processed information without requiring users to spend time searching through multiple web pages.
Solution Approach 2:
The patent replaces the mechanical interaction of manually typing, clicking, and navigating through web browsers with a voice-based interface. Users simply speak their information needs, and the virtual assistant processes these voice inputs to retrieve and present relevant information about advertising entities. This substitution of voice interaction for manual browsing significantly reduces the time and effort required to access information.
3Adaptability or versatility
If traditional advertisement systems provide basic ad content, then ads are displayed, but users lack personalized and actionable information about advertising entities
Solution Approach 1:
The virtual assistant system implements feedback mechanisms to personalize information about advertising entities based on user preferences, history, and behavior. The system analyzes user interactions with advertisements and adjusts the information provided accordingly, delivering personalized recommendations, reviews, and actionable insights that align with individual user needs and preferences.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, embodiments for presenting a group of advertisements within media content by a software application on a display communicatively coupled to the communication device resulting in a presentation of the group of advertisements, and operating a virtual assistant application simultaneously with the software application. Further embodiments include detecting voice input from a user associated with the communication device using a voice recognition technique utilized by the virtual assistant application, identifying first user data based on the voice input associated with a group of advertising entities associated with the group of advertisements, and obtaining information regarding the group of advertising entities based on the first user data. Additional embodiments include determining a group of recommended actions according to the information regarding the group of advertising entities, and providing the user with the group of recommended actions. Other embodiments are disclosed.


