Gaze and Speech in Multimodal Human-Computer Interaction: A Scoping Review

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Authors: Anam Ahmad Khan, Florian Weidner, J. G. Rhee, Yasmeen Abdrabou, Andrea Bianchi, Eduardo Velloso, Hans W. Gellersen, Joshua Newn
Cited by: 1
References: 166

Abstract

Multimodal interaction has long promised to make interfaces more intuitive and effective by combining complementary inputs. Among these, gaze and speech form a compelling pairing: gaze provides rapid spatial grounding, while speech conveys rich semantic information. Together, they offer rich cues for understanding user behaviour and intent. Yet despite decades of exploration, the research remains fragmented, making this synthesis timely as these inputs mature and are integrated into consumer-ready devices. This scoping review examined 103 studies published between 1991 and 2025, organised into explicit, where users intentionally provide gaze and speech, and implicit, where systems leverage users' natural behaviours to support interaction. Across both, we identified recurring ways for combining gaze and speech to resolve ambiguity, ground references, and support adaptivity. We contribute a synthesis of research on their combined use while highlighting challenges of temporal alignment, fusion and privacy, offering guidance for future research toward richer multimodal human-computer interaction.

Fields of Study & Subjects

Hearing Impairment and Communication Gaze Tracking and Assistive Technology Hand Gesture Recognition Systems

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–24
Publication date
13 April 2026
Language
EN