activity
20242026
collaborators

7 papers

cs.CL2026

Semantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures

Varsha Suresh, Mohammad Mahdi Abootorabi, Mohamed Salman +5

Learning a shared representation between spoken text and gesture is central to co-speech gesture retrieval, synthesis, and understanding, but remains challenging for semantically m…

cs.HC2026

Intent Lenses: Inferring Capture-Time Intent to Transform Opportunistic Photo Captures into Structured Visual Notes

Ashwin Ram, Aeneas Leon Sommer, Martin Schmitz +1

Opportunistic photo capture (e.g., slides, exhibits, or artifacts) is a common strategy for preserving information encountered in information-rich environments for later revisitati…

cs.HC2025

Mirror Skin: In Situ Visualization of Robot Touch Intent on Robotic Skin

David Wagmann, Matti Krüger, Chao Wang +1

Effective communication of robotic touch intent is a key factor in promoting safe and predictable physical human-robot interaction (pHRI). While intent communication has been widel…

cs.HC2025

GestureCoach: Rehearsing for Engaging Talks with LLM-Driven Gesture Recommendations

Ashwin Ram, Varsha Suresh, Artin Saberpour Abadian +2

This paper introduces GestureCoach, a system designed to help speakers deliver more engaging talks by guiding them to gesture effectively during rehearsal. GestureCoach combines an…

cs.RO2025

3HANDS Dataset: Learning from Humans for Generating Naturalistic Handovers with Supernumerary Robotic Limbs

Artin Saberpour Abadian, Yi-Chi Liao, Ata Otaran +5

Supernumerary robotic limbs (SRLs) are robotic structures integrated closely with the user's body, which augment human physical capabilities and necessitate seamless, naturalistic…

cs.HC2025

ExoKit: A Toolkit for Rapid Prototyping of Interactions for Arm-based Exoskeletons

Marie Muehlhaus, Alexander Liggesmeyer, Jürgen Steimle

Exoskeletons open up a unique interaction space that seamlessly integrates users' body movements with robotic actuation. Despite its potential, human-exoskeleton interaction remain…