Social touch is a rich channel of human communication, conveying emotion, intent, and meaning embedded in context. Yet most HCI studies treat touch in isolation, overlooking the layered subtleties that shape interpretation. We present a contextual analysis of 5,016 social touch events, grounded in a large collection of annotated scenes from films, dramas, and documentaries. Using a computer vision pipeline, we segmented touch events from video and annotated them across dimensions, including who is involved, how the gesture is performed, where on the body it occurs, and the cultural backdrop. Our analysis shows that identical gestures can convey distinct meanings depending on body location, relationship type, and context. Similar intentions—like comfort, encouragement, or dominance—may be expressed through different gestures or locations, shaped by relational dynamics, cultural norms, and public or private settings. These insights inform the design of socially aware touch technologies, including avatars, social agents, and mediated communication systems.

Simulating wetness in interactive systems is challenging due to the lack of dedicated hygroreceptors in human skin and the complexity of delivering physical moisture. We introduce Moisture Transfer, a perceptual wetness illusion in which users feel moisture at a dry site when cold and wet stimuli are applied nearby. This illusion arises from the brain’s spatial integration of thermal and tactile cues, offering a new pathway to render wetness without direct contact. We investigate this illusion by establishing it with a single finger and show that thermal congruence enhances perceived wetness. We then explored its spatial extent across five fingers, revealing lateral transfer of wetness. Finally, we applied these findings to create a proof-of-concept VR interface that evokes full-hand wetness using minimal actuation. We conclude with design implications for XR and wearable systems and outline future work exploring body-wide wetness illusions and multisensory integration.

Figure 1: UltraEdit with blob interaction.A user is pulling a blob out of a 3D object, editing it, then releasing it.

Low-latency multimodal feedback is essential for maintaining a high-quality user experience in VR; however, unpredictable network conditions can introduce latency that negatively impacts user experience. This work investigates how users perceive multimodal haptic feedback—specifically thermal (hot/cold) and tactile stimuli—and how latency in such feedback affects user experience. We first measured users’ response times for thermal, tactile, and combined thermal-tactile stimuli. Subsequently, we conducted a psychophysical study to identify delay thresholds for each modality by examining temporal congruency between visual and haptic cues. We designed a haptic delay network simulator to emulate a realistic network environment. Results highlighted that combined thermal-tactile feedback has higher latency tolerance than thermal-only feedback, indicating that multimodal integration can buffer the negative effects of latency. Using these thresholds, we designed controlled latency conditions and assessed user experience. Based on our findings, we propose design recommendations for haptic data transmission in networked VR systems.