Connected Intelligence, Expanded Reality

@inproceedings{Chauhan2026,

title = {Colored Shared Spaces (CSS): How Visual Design Transforms Pedestrian Experiences},

author = {Vishal Chauhan and Anubhav Anubhav and Chia Ming Chang and Ehsan Javanmardi and Takeo Igarashi and Alex Orsholits and Kantaro Fujiwara and Manabu Tsukada},

year  = {2026},

date = {2026-07-16},

booktitle = {28th International Conference on Human-Computer Interaction (HCII2026)},

address = {Montreal, Canada},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ghosh2026,

title = {SwitchAuthn: Trusted Hardware-Based Layer-2 Authentication to Prevent MAC Spoofing in Ethernet Networks},

author = {Anisha Ghosh and Manabu Tsukada},

year  = {2026},

date = {2026-04-08},

booktitle = {The 40-th International Conference on Advanced Information Networking and Applications (AINA2026)},

address = {Victoria University of Wellington, New Zealand},

abstract = {Modern switches rely on Access Control Lists (ACLs) for Media Access Control (MAC)-based access control, leaving networks vulnerable to MAC address spoofing attacks that succeed in 78% of enterprise networks. This paper presents SwitchAuthn, a device-centric TPM 2.0-secured challenge-response mechanism that closes the critical authentication gap before MACsec channel establishment. Unlike IEEE 802.1AE (MACsec) and 802.1X approaches that assume pre-established device trust, SwitchAuthn enforces cryptographic device identity verification at Layer-2 using HMAC-SHA256 with hardware-protected keys. Prototype evaluation using GNS3 with authentic Cisco IOS images (v15.1) and TPM 2.0 simulator demonstrates: (1) mean authentication latency of 2.827 ms (median 2.695 ms, <10 ms target); (2) 100% MAC spoofing prevention across 1,000 test attempts (vs. 0% for baseline port security); (3) <3% CPU overhead under sustained load (7-1000 devices); (4) comprehensive defense against replay attacks (nonce-based), MITM attacks (challenge uniqueness), and DoS attacks (rate-limiting with attestation-bound queues). The protocol achieves RFC 4868, FIPS 180-4/198-1, and ISO/IEC 11889-3 compliance while maintaining seamless IEEE 802.1X/RADIUS integration. Experimental validation demonstrates linear scalability, zero false positives observed over 48-hour continuous operation (1,400+ authentication cycles, 95% confidence interval: 0-0.26% false positive rate), and production-ready deployment architecture addressing rate-limit abuse through three-layer hybrid countermeasures.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Djelloul2026,

title = {Spatial ID Authoring in Mixed Reality: A Unified Platform Integrating Anchoring and Visualization},

author = {Sami Brahim Djelloul and Yanru Chen and Alex Orsholits and Manabu Tsukada},

year  = {2026},

date = {2026-01-26},

booktitle = {IEEE International Conference on Artificial Intelligence and Virtual Reality (AIxVR), Work in Progress (WiP)},

address = {Osaka, Japan},

abstract = {We present a Mixed Reality (MR) authoring platform that leverages Spatial IDs as a standardized reference to align digital content with the physical environment. The platform enables users to tag and annotate space through Spatial IDs, with annotations managed through a decoupled architecture where a queryable Spatial ID index links spatial entities to external databases containing attributes and application-specific content. To support this, we integrate two enabling components. First, anchoring: Spatial IDs provide a hierarchical four-dimensional indexing system that ensures consistent alignment across datasets and localization methods. Second, visualization: anchored Spatial IDs allow both real-world data streams and authored datasets to be rendered in MR. As a proof of concept, we integrate cloud-based object detection from an external depth camera, streaming recognized objects into MR and visualizing them at their true physical locations. Together, these components demonstrate how Spatial IDs enable accurate visualization and persistent authoring, offering a unified pipeline for next-generation spatial computing.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chen2026,

title = {Spatial ID-Driven Edge-Cloud Architecture for Real-Time Urban Digital Twins},

author = {Yanru Chen and Sami Brahim Djelloul and Alex Orsholits and Manabu Tsukada and Hiroshi Esaki},

year  = {2026},

date = {2026-01-08},

urldate = {2026-01-08},

booktitle = {IEEE Consumer Communications & Networking Conference (CCNC2026)},

address = {Las Vegas, USA},

abstract = {Only the chairs can edit The integration of static geospatial datasets and real-time IoT streams is essential for responsive and scalable urban Digital Twins (DTs). However, current infrastructures remain fragmented across domains, formats, and reference systems, limiting interoperability and city-scale deployment. This paper presents the first city-scale implementation of a Spatial ID-driven edge-cloud architecture that unifies heterogeneous static and dynamic urban data under a hierarchical four-dimensional identifier. Unlike prior DT systems that rely on ad hoc tiling or local schemas, our design operationalizes Spatial ID as a universal indexing layer across batch and streaming pipelines, enabling multi-resolution queries, real-time synchronization, and cross-domain interoperability. A prototype deployment in Tokyo's Chiyoda and Bunkyo wards demonstrates the approach, integrating 3D city models with live IoT streams. Static data are encoded into Spatial IDs and distributed via a geospatial database and vector tiles, while dynamic streams are processed at the edge and synchronized with a cloud backend using a publish/subscribe model. The system supports real-time encoding, querying, distribution, and web/Mixed Reality (MR)-based visualization. Evaluation shows millisecond-to-second query performance over 148 million records, sub-100 ms vector tile delivery, and real-time IoT stream processing at 30 fps. These results establish Spatial ID not only as a conceptual framework but as a practical, deployable foundation for interoperable, low-latency, and scalable Digital Twin infrastructures aligned with the vision of Society 5.0.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Meng2025b,

title = {Patch Exploration-Based Route Planning for Autonomous Vehicles},

author = {Huan Meng and Jinhui Zhang and Xiaobing Huang and Ehsan Javanmardi and Manabu Tsukada},

year  = {2025},

date = {2025-11-18},

urldate = {2025-11-18},

booktitle = {28th IEEE International Conference on Intelligent Transportation Systems (ITSC2025)},

address = {Gold Coast, Australia},

abstract = {Route planning is a crucial component of autonomous

driving, making it essential to develop efficient planning

methods tailored to different scenarios. To address the

limitations of the existing RRT* methods, we propose a

Patch Exploration RRT* (PE-RRT*). First, separating

hyperplanes and half-spaces are utilized to construct patch

for each node in the tree structure, allowing adaptation to

the environmental density. Additionally, during the

sampling process, the patches guide the expansion of the

random tree, enabling rapid searches and efficient use of

sampled points. Moreover, the patches are applied for route

pruning, simplifying the route representation. Simulation

results demonstrate that the proposed method achieves high

search efficiency across various scenarios. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chauhan2025b,

title = {A Silent Negotiator? Cross-cultural VR Evaluation of Smart Pole Interaction Units in Dynamic Shared Spaces},

author = {Vishal Chauhan and Anubhav Anubhav and Robin Sidhu and Yu Asabe and Kanta Tanaka and Chia-Ming Chang and Xiang Su and Dr. Ehsan Javanmardi and Takeo Igarashi and Alex Orsholits and Kantaro Fujiwara and Manabu Tsukada},

url = {https://github.com/tlab-wide/Smartpole-VR-AWSIM.git},

doi = {10.1145/3756884.3765991},

year  = {2025},

date = {2025-11-12},

urldate = {2025-11-12},

booktitle = {The ACM Symposium on Virtual Reality Software and Technology (VRST2025) },

address = {Montreal, Canada},

abstract = {As autonomous vehicles (AVs) enter pedestrian-centric environments, existing vehicle-mounted external human–machine interfaces (eHMIs) often fall short in shared spaces due to line-of-sight limitations, inconsistent signaling, and increased cognitive burden on pedestrians. To address these challenges, we introduce the Smart Pole Interaction Unit (SPIU), an infrastructure-based eHMI that decouples intent signaling from vehicles and provides context-aware, elevated visual cues. We evaluate SPIU using immersive VR-AWSIM simulations in four high-risk urban scenarios: four-way intersections, autonomous mixed traffic, blindspots, and nighttime crosswalks. The experiment was developed in Japan and replicated in Norway, where forty participants engaged in 32 trials each under both SPIU-present and SPIU-absent conditions. Behavioral (response time) and subjective (acceptance scale) data were collected. Results show that SPIU significantly improves pedestrian decision-making, with reductions ranging from 40% to over 80% depending on scenario and cultural context, particularly in complex or low-visibility scenarios. Cross-cultural analyses highlight SPIU's adaptability across differing urban and social contexts. We release our open-source Smartpole-VR-AWSIM framework to support reproducibility and global advancement of infrastructure-based eHMI research through reproducible and immersive behavioral studies.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}