Context-Aware Event Review Prompting System
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Solution Overview
Problem
Users face difficulties in providing reviews for events and destinations on social network sites, as they often need to search for review web pages, which can be cumbersome and may not prompt them to review their favorite experiences unless something negative occurs.
Innovation Solution
A system that utilizes mobile device location and temporal data to generate user interfaces and prompts for users to review events or destinations, tailoring the prompts based on duration and frequency of visits to encourage a range of reviews, from negative to positive, by identifying possible events associated with the location and time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search for review web pages, then they can access review functionality, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically detecting user location and event attendance status without requiring manual search. The system proactively identifies when users are at events and presents review opportunities, eliminating the need for users to search for review pages beforehand.
Solution Approach 2:
The system enables self-service by automatically gathering location data from mobile devices and determining event attendance without user intervention. The system serves itself by autonomously identifying review opportunities and presenting them to users, reducing manual effort required to access review functionality.
2Productivity
If users are not prompted to review, then they may miss opportunities to share experiences, but excessive prompting may annoy users
Solution Approach 1:
The system uses feedback mechanisms by monitoring user responses to review prompts and adjusting future prompting behavior. When users complete reviews or indicate disinterest, the system learns from this feedback and modifies its prompting strategy, presenting reviews at appropriate moments without being overly persistent or annoying.
Solution Approach 2:
The system applies dynamics by adaptively adjusting review prompt timing and frequency based on user behavior patterns. The system dynamically determines when to present review opportunities, considering factors like duration at location and user engagement history, making the prompting process flexible and responsive to user preferences rather than static and repetitive.
3Adaptability or versatility
If the system collects detailed location and temporal data, then it can generate context-specific prompts, but it increases data processing complexity
Solution Approach 1:
The system achieves universality by using a multi-functional data processing approach that handles location data, temporal data, and event information through integrated algorithms. The same processing framework serves multiple purposes: determining user presence, identifying events, calculating duration, and generating prompts, thereby managing complexity through unified rather than separate processing systems.
Data Source
AI summary
Embodiments generally relate to obtaining event reviews. In one embodiment a method includes receiving location data corresponding to a location of a device and receiving temporal data corresponding to a time when the device was at the location. The method also includes obtaining event information based on the location data and the temporal data, and generating a user interface on the device to permit reviews of an event associated with the event information. The method also includes generating one or more prompts based on the location data and the temporal data.