Promoting Real-Time Reflection in Synchronous Communication with Generative AI

TL;DR

This paper reviews how generative AI can support real-time reflection in synchronous communication, emphasizing design considerations for effective human-AI interaction to enhance communication strategies without disruption.

Contribution

It provides a comprehensive review of existing reflection-support systems and discusses design implications for integrating generative AI into real-time communication.

Findings

Generative AI can enhance context understanding in real-time reflection.

Designing seamless human-AI interaction is crucial for effective support.

Current research highlights the importance of non-disruptive AI integration.

Abstract

Real-time reflection plays a vital role in synchronous communication. It enables users to adjust their communication strategies dynamically, thereby improving the effectiveness of their communication. Generative AI holds significant potential to enhance real-time reflection due to its ability to comprehensively understand the current context and generate personalized and nuanced content. However, it is challenging to design the way of interaction and information presentation to support the real-time workflow rather than disrupt it. In this position paper, we present a review of existing research on systems designed for reflection in different synchronous communication scenarios. Based on that, we discuss design implications on how to design human-AI interaction to support reflection in real time.