Augmented Conversation with Embedded Speech-Driven On-the-Fly Referencing in AR

TL;DR

This paper presents augmented conversation, an AR system that provides real-time visual references during in-person talks to reduce distraction and improve interaction quality.

Contribution

The paper introduces a Hololens-based system for embedded speech-driven visual referencing in AR, with a user-centered design process and initial validation.

Findings

Reduces distraction compared to smartphone searches

Provides highly relevant visual references in real-time

Enhances natural social interactions during conversations

Abstract

This paper introduces the concept of augmented conversation, which aims to support co-located in-person conversations via embedded speech-driven on-the-fly referencing in augmented reality (AR). Today computing technologies like smartphones allow quick access to a variety of references during the conversation. However, these tools often create distractions, reducing eye contact and forcing users to focus their attention on phone screens and manually enter keywords to access relevant information. In contrast, AR-based on-the-fly referencing provides relevant visual references in real-time, based on keywords extracted automatically from the spoken conversation. By embedding these visual references in AR around the conversation partner, augmented conversation reduces distraction and friction, allowing users to maintain eye contact and supporting more natural social interactions. To demonstrate this concept, we developed \system, a Hololens-based interface that leverages real-time speech recognition, natural language processing and gaze-based interactions for on-the-fly embedded visual referencing. In this paper, we explore the design space of visual referencing for conversations, and describe our our implementation -- building on seven design guidelines identified through a user-centered design process. An initial user study confirms that our system decreases distraction and friction in conversations compared to smartphone searches, while providing highly useful and relevant information.