AIDT
Project Description
Crafting the UX Behind a Chatbot for AI-Enhanced Digital Textbook
Project Type
Website
Deliverable
Wireframe, Dialogue Specification
Goal
AIDT aims to design an AI-based chatbot for digital textbooks with intuitive and user-friendly interfaces and conversational experiences that enable teachers and students to explore actively and maintain curiosity. This was achieved by developing conversation logic tailored to various scenarios encountered during learning.
Challenge
The main challenge was to provide consistent and intuitive responses through context-aware conversation logic across various learning scenarios. Additionally, efforts were made to ensure that AI responses align with the curriculum without causing confusion for learners.
Outcome
The final deliverable provided a natural conversational experience based on context-aware dialogue logic tailored to Dong-A Publishing's specific requirements. It proposed a solution capable of offering immediate and accurate support for users' challenges during learning.
4
Weeks of collab
112
Document Pages
2
Deliverables
Project timeline
Develop
Service Policy
Reflecting the internal needs of the client, I clearly defined the terminology used in the specification and systematically organized service-related policies. This approach aimed to deliver a precise and easily understandable policy document.
Develop
Wireframe
The layout and structure of the chatbot screen were defined to clearly distinguish the position and hierarchy of each element, ensuring that key features and interactions are effectively communicated. This design enables users to interact intuitively with the chatbot, providing a seamless UX that does not disrupt the learning flow.
Develop
Flowchart
The flow of the chating was designed to adapt to various situations, ensuring that the chatbot's feedback and interactions in response to user requests are natural and consistent. The goal is to provide a conversational experience that users can intuitively understand and utilize.
Develop
Conversation Scenario
To build a conversational model, dialogue scenarios were categorized by priority and exposure conditions and systematically organized in a tabular format. This approach ensured a structured and consistent conversation flow.
Develop
Dialogue Modeling
Conversation logic was designed to enable the chatbot to accurately understand context and respond appropriately based on different dialogue scenarios. This approach aims to support a natural and consistent conversational experience for users while establishing a flexible structure that can adapt to various learning situations.
Develop
Dialogue Templete
UI screens and button functionalities were systematically organized for each scenario to facilitate efficient review during the development and QA processes. This approach ensures that the conversation logic is accurately implemented and operates consistently, aiming to provide smooth interactions that do not compromise the user experience.
