Touch Speaks, Sound Feels: A Multimodal Approach to Affective and Social Touch from Robots to Humans

TL;DR

This study explores a multimodal system combining touch and sound to improve emotional and social communication between robots and humans, demonstrating enhanced emotion recognition through multisensory integration.

Contribution

The paper introduces a novel robot interaction system that synchronizes vibration and audio cues to convey emotions and gestures, advancing affective robotics research.

Findings

Multisensory stimuli improved emotion decoding accuracy.

Vibration and sound each supported specific emotional recognitions.

Gestures alone were less effective for emotion conveyance.

Abstract

Affective tactile interaction constitutes a fundamental component of human communication. In natural human-human encounters, touch is seldom experienced in isolation; rather, it is inherently multisensory. Individuals not only perceive the physical sensation of touch but also register the accompanying auditory cues generated through contact. The integration of haptic and auditory information forms a rich and nuanced channel for emotional expression. While extensive research has examined how robots convey emotions through facial expressions and speech, their capacity to communicate social gestures and emotions via touch remains largely underexplored. To address this gap, we developed a multimodal interaction system incorporating a 5*5 grid of 25 vibration motors synchronized with audio playback, enabling robots to deliver combined haptic-audio stimuli. In an experiment involving 32 Chinese participants, ten emotions and six social gestures were presented through vibration, sound, or their combination. Participants rated each stimulus on arousal and valence scales. The results revealed that (1) the combined haptic-audio modality significantly enhanced decoding accuracy compared to single modalities; (2) each individual channel-vibration or sound-effectively supported certain emotions recognition, with distinct advantages depending on the emotional expression; and (3) gestures alone were generally insufficient for conveying clearly distinguishable emotions. These findings underscore the importance of multisensory integration in affective human-robot interaction and highlight the complementary roles of haptic and auditory cues in enhancing emotional communication.