Despite its technological breakthroughs, eXplainable Artificial Intelligence (XAI) research has limited success in producing the {\em effective explanations} needed by users. In order to improve XAI systems' usability, practical interpretability, and efficacy for real users, the emerging area of {\em Explainable Interfaces} (EIs) focuses on the user interface and user experience design aspects of XAI. This paper presents a systematic survey of 53 publications to identify current trends in human-XAI interaction and promising directions for EI design and development. This is among the first systematic survey of EI research.

翻译：尽管可解释人工智能（XAI）研究在技术上取得了突破，但其在为用户提供**有效解释**方面仍成效有限。为提升XAI系统的可用性、实际可解释性及对真实用户的效能，新兴的**可解释界面**（EI）领域聚焦于XAI的用户界面与用户体验设计层面。本文对53篇相关文献进行了系统综述，旨在识别当前人机交互中的XAI研究趋势及EI设计与开发的潜在方向。这是针对EI研究的首批系统性综述之一。