SpeechCap: Leveraging Playful Impact Captions to Facilitate Interpersonal Communication in Social Virtual Reality
Yu Zhang, Yi Wen, Siying Hu, Zhicong Lu

TL;DR
SpeechCap introduces impact captions in social VR to enhance real-time interpersonal communication by visually representing verbal and non-verbal cues, improving engagement and understanding.
Contribution
It presents a novel impact caption system for social VR, including design analysis, implementation, and user evaluation, advancing communication methods in virtual environments.
Findings
Impact captions improve communication clarity.
Interactivity enhances user engagement.
Design implications for future social VR communication tools.
Abstract
Social Virtual Reality (VR) emerges as a promising platform bringing immersive, interactive, and engaging mechanisms for collaborative activities in virtual spaces. However, interpersonal communication in social VR is still limited with existing mediums and channels. To bridge the gap, we propose a novel method for mediating real-time conversation in social VR, which uses impact captions, a type of typographic visual effect widely used in videos, to convey both verbal and non-verbal information. We first investigated the design space of impact captions by content analysis and a co-design session with four experts. Next, we implemented SpeechCap as a proof-of-concept system, with which users can communicate with each other using speech-driven impact captions in VR. Through a user study (n=14), we evaluated the effectiveness of the visual and interaction design of impact captions,…
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Taxonomy
TopicsSubtitles and Audiovisual Media · Language, Metaphor, and Cognition
