BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260307T235729Z UID:FC36DC4A-D87E-4E10-A063-97A337D55516 DTSTART;TZID=America/New_York:20260306T130000 DTEND;TZID=America/New_York:20260306T140000 DESCRIPTION:The growing demand for immersive\, intuitive\, and physically m eaningful interaction in Virtual Reality (VR) and Human–Robot Interactio n (HRI) underscores the limitations of traditional visual–auditory inter faces. By integrating tactile and kinesthetic haptic feedback with synchro nized audio‑visual cues\, this work enhances realism and interactivity i n both virtual and remote environments. We present a unified framework for haptics‑enhanced multi‑modal\, multi‑sensory interfaces designed to improve digital twin interaction and motor skill training. Elevating touc h to a primary modality addresses a critical gap in current VR and teleope ration systems\, where visual feedback alone cannot convey essential physi cal properties such as texture\, stiffness\, or weight. Our initial pilot study focuses on vibro‑tactile texture perception\, demonstrating how en riched tactile cues improve user engagement and perceptual accuracy. The p roposed system integrates bilateral force feedback\, high‑fidelity cutan eous actuation\, vibro‑tactile rendering\, and a novel sensory fusion st rategy that prioritizes haptic information during contact‑rich events\, mitigating issues such as visual occlusion and video latency. This approac h enhances embodiment and realism when interacting with digital twins used for simulation\, training\, and remote operations. Comparisons with visio n‑dominant baselines show measurable gains in task completion time\, for ce regulation accuracy\, and cognitive load reduction. Looking forward\, i ntegrating advanced AI techniques will enable adaptive synchronization of multi‑modal feedback\, supporting next‑generation enactive interfaces with broad implications for surgical robotics\, hazardous material handlin g\, remote exploration\, and high‑fidelity digital twin applications.\n\ nSpeaker(s): Dr. James\, \n\nBldg: College of Engineering\, Lawrence Techn ological University\, E101\, Engineering Building \, 21000 W 10 Mile Rd\, Southfield\, MI 48075\, Southfield\, Michigan\, United States\, 48075 LOCATION:Bldg: College of Engineering\, Lawrence Technological University\, E101\, Engineering Building \, 21000 W 10 Mile Rd\, Southfield\, MI 48075 \, Southfield\, Michigan\, United States\, 48075 ORGANIZER:mguduri@ltu.edu SEQUENCE:17 SUMMARY:Haptics-Centered Multi-Sensory Multi-Modal Interfaces for Motor Ski ll Training and Immersive Digital Twin Interaction in Virtual Reality URL;VALUE=URI:https://events.vtools.ieee.org/m/544691 X-ALT-DESC:Description: <br /><p>The growing demand for immersive\, intuiti ve\, and physically meaningful interaction in Virtual Reality (VR) and Hum an&ndash\;Robot Interaction (HRI) underscores the limitations of tradition al visual&ndash\;auditory interfaces. By integrating tactile and kinesthet ic haptic feedback with synchronized audio‑visual cues\, this work enhan ces realism and interactivity in both virtual and remote environments. We present a unified framework for haptics‑enhanced multi‑modal\, multi ‑sensory interfaces designed to improve digital twin interaction and mot or skill training. Elevating touch to a primary modality addresses a criti cal gap in current VR and teleoperation systems\, where visual feedback al one cannot convey essential physical properties such as texture\, stiffnes s\, or weight. Our initial pilot study focuses on vibro‑tactile texture perception\, demonstrating how enriched tactile cues improve user engageme nt and perceptual accuracy. The proposed system integrates bilateral force feedback\, high‑fidelity cutaneous actuation\, vibro‑tactile renderin g\, and a novel sensory fusion strategy that prioritizes haptic informatio n during contact‑rich events\, mitigating issues such as visual occlusio n and video latency. This approach enhances embodiment and realism when in teracting with digital twins used for simulation\, training\, and remote o perations. Comparisons with vision‑dominant baselines show measurable ga ins in task completion time\, force regulation accuracy\, and cognitive lo ad reduction. Looking forward\, integrating advanced AI techniques will en able adaptive synchronization of multi‑modal feedback\, supporting next ‑generation enactive interfaces with broad implications for surgical rob otics\, hazardous material handling\, remote exploration\, and high‑fide lity digital twin applications.&nbsp\;</p> END:VEVENT END:VCALENDAR