C5: Towards Better Conversation Comprehension and Contextual Continuity for ChatGPT

TL;DR

This paper introduces C5, an interactive visualization system designed to improve conversation comprehension and contextual continuity in ChatGPT by addressing human and model forgetting in multi-turn dialogues.

Contribution

The paper presents a novel visualization system, C5, that enhances understanding of multi-turn conversations in ChatGPT through structured views and exploration tools.

Findings

C5 improves users' ability to understand conversation context.

C5 effectively visualizes conversation evolution and relevance.

User studies show increased comprehension with C5.

Abstract

Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks. In complex application scenarios, users tend to engage in multi-turn conversations with ChatGPT to keep contextual information and obtain comprehensive responses. However, human forgetting and model contextual forgetting remain prominent issues in multi-turn conversation scenarios, which challenge the users' conversation comprehension and contextual continuity for ChatGPT. To address these challenges, we propose an interactive conversation visualization system called C5, which includes Global View, Topic View, and Context-associated Q\&A View. The Global View uses the GitLog diagram metaphor to represent the conversation structure, presenting the trend of conversation evolution and supporting the exploration of locally salient features. The Topic View is designed to display all the question and answer nodes and their relationships within a topic using the structure of a knowledge graph, thereby display the relevance and evolution of conversations. The Context-associated Q\&A View consists of three linked views, which allow users to explore individual conversations deeply while providing specific contextual information when posing questions. The usefulness and effectiveness of C5 were evaluated through a case study and a user study.