Intelligent Land Knowledge Management System

During the empathize phase, extensive research was conducted to understand the needs and preferences of readers, as well as their pain points and aspirations. Interviews, surveys, and user research were conducted with a diverse range of readers to gain insights into their reading habits, challenges, and desires for a digital reading experience.

Key Findings:

• Readers desired a seamless and personalized reading experience that caters to their specific interests.
• Access to a wide range of digital books across various genres and languages was important.
• Readers faced challenges in discovering new books and authors.
• Users sought expert recommendations and insights to enhance their reading journey.

Based on the research findings, a problem statement and goals were defined to guide the design process. The problem statement focused on the need for an eBook system that offers a personalized reading experience and leverages AI to provide expert recommendations. The goals included enhancing book discovery, improving personalization, and offering AI-based expert advice.

During the ideation phase, various solutions were brainstormed to address the identified challenges and goals. Collaborating with stakeholders and experts in the field, ideas were generated for features, functionalities, and system architecture. The emphasis was on designing a user-friendly interface, developing an AI-based recommendation engine, and integrating expert advice into the reading experience.

Using the ideation outcomes, low-fidelity wireframes and interactive prototypes were developed to visualize the user interface and the flow of interactions. These prototypes allowed stakeholders and users to provide feedback and validate the design. Iterative refinement of the prototypes was conducted to ensure a seamless and intuitive reading experience.

Usability testing sessions were conducted with representative users to gather feedback on the prototype. Users were assigned specific tasks, and their interactions, feedback, and observations were recorded. This process helped identify usability issues, refine the design, and ensure that the system meets user expectations for an enjoyable reading experience.

Outcome:

The outcome of the design thinking process is an eBook System with an AI-based expert advisor that addresses the identified challenges and goals. The system offers a user-friendly interface for browsing and accessing a vast collection of digital books. It leverages AI algorithms to provide personalized recommendations based on user preferences and reading history. The expert advisor feature offers insights, recommendations, and additional context to enhance the reader’s understanding and enjoyment of the content.