ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing

Autor:	Shen, Hua, Huang, Chieh-Yang, Wu, Tongshuang, Huang, Ting-Hao 'Kenneth'
Rok vydání:	2023
Předmět:	Computer Science - Human-Computer Interaction Computer Science - Artificial Intelligence Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	Despite a surge collection of XAI methods, users still struggle to obtain required AI explanations. Previous research suggests chatbots as dynamic solutions, but the effective design of conversational XAI agents for practical human needs remains under-explored. This paper focuses on Conversational XAI for AI-assisted scientific writing tasks. Drawing from human linguistic theories and formative studies, we identify four design rationales: "multifaceted", "controllability", "mix-initiative", "context-aware drill-down". We incorporate them into an interactive prototype, ConvXAI, which facilitates heterogeneous AI explanations for scientific writing through dialogue. In two studies with 21 users, ConvXAI outperforms a GUI-based baseline on improving human-perceived understanding and writing improvement. The paper further discusses the practical human usage patterns in interacting with ConvXAI for scientific co-writing. Comment: CSCW 2023 Demo. ConvXAI system code: https://github.com/huashen218/convxai.git
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2305.09770 Zobrazit plný text záznamu View this record from Arxiv