10th Conference of the ISGS

We are excited to welcome you to the 10th Conference of the International Society for Gesture Studies (ISGS), taking place from 9-11 July 2025 at Radboud University in Nijmegen, The Netherlands. Nijmegen has long been a hub for multimodal language studies, with a rich history spanning over three decades. We look forward to honoring this long tradition as the host of ISGS 2025, celebrating the field’s advancements and looking with great excitement toward the future. 

Recent technological advances have launched us into a new era of multimodal language research. Innovations in computer vision, virtual reality, motion capture, eye-tracking, large language models, and robotics hold great promise for quantifying the properties of visual language and uncovering the relationships between motion and meaning across diverse social contexts, languages, and speakers. ISGS 2025 aims to unite researchers from various fields and perspectives who employ traditional and novel approaches to deepen our knowledge about sign language, gesture use, (neuro)processing, acquisition and learning, and social interaction, among others. 

Multimodal language across the lifespan and individual differences

• Acquired language disorders

• Cross-linguistic and cross-cultural comparisons

• Developmental language disorders

• Language acquisition

• Learning and cognition

• Multilingualism

• (Neuro)diversity

• Neural processing

Multimodal meaning and communication systems

• Semantics and pragmatics

• Semiotics

• Animal communication

• Language evolution and emergence

• Art and gesture (i.e., dance)

Multimodal signals and social interaction

• Conversation analysis and situated language use

• Emotions

• Facial expressions and head gestures

• Multimodal corpora

• Multimodal integration

• Multimodal prosody

• Temporal sequencing of multimodal signals

Technological approaches to the study of multimodal language

• Artificial intelligence

• Computational modeling

• Conversational virtual agents

• Kinematics of bodily movements

• Machine and deep learning techniques

• Motion capture

• Multimodal large language models and generative AI

• Social robotics

• Virtual reality