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Multidimensional image morphing-fast image-based rendering of open 3D and VR environments

虚拟现实与智能硬件(中英文) 2025年第2期7卷 155-172页

作者： Simon SEIBT Bastian KUTH Bartosz von Rymon LIPINSKI Thomas CHANG Marc Erich LATOSCHIK Game Tech Laboratory Faculty of Computer ScienceNuremberg Institute of TechnologyNuremberg 90489Germany Department of Electrical Engineering and Computer Science Coburg University of Applied Sciences and ArtsCoburg 96450Germany Human-Computer Interaction Group Institute of Computer ScienceUniversity of WuerzburgWuerzburg 97074Germany

Background In recent years,the demand for interactive photorealistic three-dimensional(3D)environments has increased in various fields,including architecture,engineering,and ***,achieving a balance between the quality and efficiency of high-performance 3D applications and virtual reality(VR)remains *** This study addresses this issue by revisiting and extending view interpolation for image-based rendering(IBR),which enables the exploration of spacious open environments in 3D and ***,we introduce multimorphing,a novel rendering method based on the spatial data structure of 2D image patches,called the image *** this approach,novel views can be rendered with up to six degrees of freedom using only a sparse set of *** rendering process does not require 3D reconstruction of the geometry or per-pixel depth information,and all relevant data for the output are extracted from the local morphing cells of the image *** detection of parallax image regions during preprocessing reduces rendering artifacts by extrapolating image patches from adjacent cells in *** addition,a GPU-based solution was presented to resolve exposure inconsistencies within a dataset,enabling seamless transitions of brightness when moving between areas with varying light *** Experiments on multiple real-world and synthetic scenes demonstrate that the presented method achieves high"VR-compatible"frame rates,even on mid-range and legacy hardware,*** achieving adequate visual quality even for sparse datasets,it outperforms other IBR and current neural rendering *** Using the correspondence-based decomposition of input images into morphing cells of 2D image patches,multidimensional image morphing provides high-performance novel view generation,supporting open 3D and VR ***,the handling of morphing artifacts in the parallax image regions remains a topic for future resea

关键词： computer graphics 3D real-time rendering computer vision Image morphing Virtual reality

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A Reinforcement Learning Framework for Efficient Task Allocation among AGVs in Smart Warehouse

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IEEE Internet of Things Journal 2025年第11期12卷 16947-16961页

作者： Li, Shaofeng Zhao, Zejian Wang, Di Li, Ke Liu, Gang Wang, Quan Xidian University Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province the School of Computer Science and Technology Xi'an710071 China Xidian University Guangzhou Institute of Technology Guangzhou510555 China

In smart warehouses that use automated guided vehicles (AGVs) for goods transportation, task allocation has a great impact on operational efficiency. Currently, warehouse task allocation is typically modeled as a pickup and delivery problem (PDP), which requires vehicles to start and return from the same depot to construct several closed-loop routes. This approach increases the vehicle travel distance without load in high-throughput warehouses and results in resource wastage. Thus we re-model the task allocation problem as an open-loop routing problem with heterogeneous starting points and name it capacitied multiagent open pickup and delivery problem (CMOPDP), which has more complex solution space and constraints than PDP. The solving speed of existing heuristic methods cannot meet the real-time processing demands of large-scale warehouses. And deep reinforcement learning (DRL)-based methods typically satisfy constraints through the output mask of decoders, which leads to unsatisfactory quality of solutions under complex constraints. To address these limitations, we design an DRL-based model with encoder-decoder architecture to solve the CMOPDP. Specifically, first, an encoder with heterogeneous attention is designed to fully explore constraint relationships between nodes. Second, we utilize dual decoders and information sharing to maximize vehicle-customer nodes matching. Finally, entropy rewards are introduced to enhance exploration during reinforcement learning, preventing the model from getting stuck in local optima. Extensive experiments on random datasets and various warehouse maps demonstrate that our method improves solution quality by at least 1.76% over baselines, while maintaining competitive solving time and exhibiting good generalization performance. © 2025 IEEE.

关键词： Deep reinforcement learning

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Digital Shadows: Exploring the Other and the I in Communication with Thanabots 6

Digital Shadows: Exploring the Other and the I in Communicat...

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6th Social Robots with AI: Prospects, Risks, and Responsible Methods Robophilosophy, RP 2024

作者： Dobrosovestnova, Anna Machado, Felipe Reinboth, Tim Human Computer Interaction Group TU Wien Austria Department of Philosophy Cognitive Science Hub University of Vienna Austria

ISBN: (纸本)9781643685670

The development of large language models (LLMs) has led to the proliferation of chatbot services like ChatGPT, Replika and Project December further contributing to technologically mediated grief. Called variously griefbots, or thanabots, the postulated aim behind these technologies is to help people deal with the loss of their loved ones. Despite hype around these technologies in the media, little is still known about the actual mechanisms of how thanabots contribute to grieving. This paper contributes to answering this question by offering an interpretation of communication with thanabots through the prism of Yuri Lotman's autocommunication model. We start by examining how a thanabot can be framed as a communicational 'other'. Then we draw on phenomenology of grief literature to delineate the boundaries of such "otherness". In line with the Lotman's autocommunication model, we proceed to argue that conversing with a thanabot can be viewed as an instance of 'I-I' communication. Within this model, the bot functions as a secondary code that allows for new meaning to arise in the process of communication and, consequently, for a bereaved person to renegotiate their new identity in the face of loss. © 2025 IOS Press. All rights reserved.

关键词： I-I I-Other Large Language Models phenomenology of grief thanabots

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Planet Purifiers: A Collaborative Immersive Experience Proposing New Modifications to HOMER and Fishing Reel interaction Techniques

Planet Purifiers: A Collaborative Immersive Experience Propo...

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2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025

作者： Giovannelli, Alexander Murphy, Fionn Davis, Trey Lee, Chaerin Abulikemu, Rehema Gallagher, Matthew Sharma, Sahil Lisle, Lee Bowman, Doug A. Virginia Tech Center for Human-Computer Interaction Department of Computer Science Blacksburg VA United States

ISBN: (纸本)9798331514846

This paper presents our solution to the 2025 3DUI Contest challenge. We aimed to develop a collaborative, immersive experience that raises awareness about trash pollution in natural landscapes while enhancing traditional interaction techniques in virtual environments. To achieve these objectives, we created an engaging multiplayer game where one user collects harmful pollutants while the other user provides medication to impacted wildlife using enhancements to traditional interaction techniques: HOMER and Fishing Reel. We enhanced HOMER to use a cone volume to reduce the precise aiming required by a selection raycast to provide a more efficient means to collect pollutants at large distances, coined as FLOW-MATCH. To improve the animal feed distribution to wildlife far away from the user with Fishing Reel, we created RAWR-XD, an asymmetric bi-manual technique to more conveniently adjust the reeling speed using the non-selecting wrist rotation of the user. © 2025 IEEE.

关键词： human computer interaction (HCI) human-centered computing interaction paradigms interaction techniques Virtual reality

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Exploring Multiscale Navigation of Homogeneous and Dense Objects with Progressive Refinement in Virtual Reality 32

Exploring Multiscale Navigation of Homogeneous and Dense Obj...

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32nd IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025

作者： Pavanatto, Leonardo Giovannelli, Alexander Giera, Brian Bremer, Timo Miao, Haichao Bowman, Doug A. Virginia Tech Center for Human-Computer Interaction Department of Computer Science United States Lawrence Livermore National Laboratory Center for Applied Scientific Computing United States

ISBN: (纸本)9798331536459

Locating small features in a large, dense object in virtual reality (VR) poses a significant interaction challenge. While existing multiscale techniques support transitions between various levels of scale, they are not focused on handling dense, homogeneous objects with hidden features. We propose a novel approach that applies the concept of progressive refinement to VR navigation, enabling focused inspections. We conducted a user study where we varied two independent variables in our design, navigation style (STRUCTURED vs. UNSTRUCTURED) and display mode (SELECTION vs. EVERYTHING), to better understand their effects on efficiency and awareness during multiscale navigation. Our results showed that unstructured navigation can be faster than structured and that displaying only the selection can be faster than displaying the entire object. However, using an everything display mode can support better location awareness and object understanding. © 2025 IEEE.

关键词： Virtual reality

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Social-Physical human-Robot interaction for Health Applications: A Scoping Review 16th

Social-Physical Human-Robot Interaction for Health Applicat...

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16th International Conference on Social Robotics, ICSR + AI 2024

作者： Schneider, Sebastian Human-Media Interaction Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands

ISBN: (纸本)9789819635245

Social robots capable of physically or tactilely interacting with users could unlock new health applications. Despite the potential benefits, integrating physical interaction capabilities in social robot applications remains an emerging field. There is a pressing need to consolidate existing knowledge and identify gaps to guide future research and development. This paper presents a review on current research on physical interaction with social robots in therapeutic settings, particularly in rehabilitation. Despite the burgeoning interest in rehabilitation robotics, there is a noticeable scarcity of studies that delve into social robots in physiotherapy-like interactions. Most studies focus on feasibility rather than effectiveness with target populations, often featuring small sample sizes and varied settings. This limits the ability to draw robust conclusions on the impacts of haptic interaction. Three primary research areas are identified: (1) involving target user groups to ensure relevance, (2) exploring haptic feedback, e.g., through wearable devices, to enhance human-robot interaction, and (3) implementing standardized study designs for meaningful comparisons. Findings highlight the need for comprehensive research to harness social robots’ potential in therapeutic settings, improving the quality of life for individuals with physical and cognitive impairments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Microrobots

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A Technical User Study on an Authoring Tool for Simplifying VR Study Setups in HRI Research 20

A Technical User Study on an Authoring Tool for Simplifying ...

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20th Annual ACM/IEEE International Conference on human-Robot interaction, HRI 2025

作者： Helgert, André Eimler, Sabrina C. Gross, Tom Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany Human-Computer Interaction Group University of Bamberg Bamberg Germany

ISBN: (纸本)9798350378931

This paper presents a novel virtual reality (VR) authoring tool designed to simplify the creation of human-robot interaction (HRI) studies. The tool was developed to lower the technical barriers in VR development and allows researchers to simulate complex robot interactions without the need for advanced programming skills. It incorporates key HRI methods such as the Wizard of Oz (WoZ) technique, eye-tracking and motion tracking, and provides a comprehensive platform for data collection and study customization. A technical user study with computer scientists was carried out to evaluate the technical applicability of the tool. The participants confirmed the user-friendliness, flexibility and accessibility of the tool and furthermore found the tool efficient and expressed a strong interest in using it for future research. The results underline the tool's potential to expand the use of VR in HRI research, especially for non-technical researchers. © 2025 IEEE.

关键词： Robot programming

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Beyond Coding: Empowering HRI Researchers with an Authoring Tool for Simplified VR Studies 7

Beyond Coding: Empowering HRI Researchers with an Authoring ...

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7th IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2025

作者： Helgert, André Eimler, Sabrina C. Gross, Tom Institute of Computer Science Ruhr West University of Applied Sciences Bottrop Germany University of Bamberg Human-Computer Interaction Group Bamberg Germany

ISBN: (纸本)9798331521578

Although Virtual Reality (VR) is a promising tool in today's human-Robot interaction (HRI) research, the technical hurdle of creating high-quality and customized VR applications for one's own research prevents its comprehensive use. To address this problem, we present a VR authoring tool for HRI research, allowing non-technical researchers to create individual study designs in a simplified manner with predefined environments, robots, and measurement methods. Furthermore, the authoring tool has a highly modularized structure so that it can be adapted to a wide range of use cases. Technical details are presented, covering UI/UX decisions in the study design process and the visual programming interface for the creation of the interaction scheme of the robot, as well as the data management system that transfers researchers' study setups into a suitable VR application. The VR authoring tool is intended to bridge the gap between the practical applicability of VR as a research tool and the required technical implementation expertise for VR applications. © 2025 IEEE.

关键词： human robot interaction

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The tension of usable safety, security and privacy

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i-com 2025年第1期24卷 1-7页

作者： Kaufhold, Marc-André Mentler, Tilo Nestler, Simon Reuter, Christian Technical University of Darmstadt Darmstadt Germany Human Computer Interaction und User Experience Trier University of Applied Sciences Trier Germany Faculty of Computer Science Technische Hochschule Ingolstadt Ingolstadt Germany Technical University of Darmstadt Darmstadt Germany

Local disasters such as the Ahr Valley flood in Germany, the international backdrop of the Russo-Ukrainian War, or the global impact of the COVID-19 pandemic place high demands on the people and organisations that are involved in these situations and contexts to save lives, mitigate damage, provide comfort, or organise reconstruction. Novel technologies are constantly making their way into everyday life, such as artificial intelligence, big data, decentralised networks, internet of things, or virtual reality. Their adaptation, acceptance, usability, usefulness, and legal framework conditions for safety-critical systems must be researched and tested thoroughly. In this special issue, we investigate the use of computer-based solutions in areas and situations of direct relevance to people's lives and well-being (Usable Safety), as well as contributions to user-oriented resilience concepts of sociotechnical systems concerning potential attacks (Usable Security) and data protection mechanisms (Usable Privacy). © 2025 the author(s), published by De Gruyter, Berlin/Boston.

关键词： usable safety usable security safety-critical systems human-centered computing

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NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes 25

NoTeeline: Supporting Real-Time, Personalized Notetaking wit...

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30th International Conference on Intelligent User Interfaces, IUI 2025

作者： Huq, Faria Samee, Abdus Lin, David Chuan-En Tang, Alice Xiaodi Bigham, Jeffrey P Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Computer Science and Engineering Bangladesh University of Engineering and Technology Dhaka Bangladesh

ISBN: (纸本)9798400713064

Taking notes quickly while effectively capturing key information can be challenging, especially when watching videos that present simultaneous visual and auditory streams. Manually taken notes often miss crucial details due to the fast-paced nature of the content, while automatically generated notes fail to incorporate user preferences and discourage active engagement with the content. To address this, we propose an interactive system, NoTeeline, for supporting real-time, personalized notetaking. Given 'micronotes', NoTeeline automatically expands them into full-fledged notes using a Large Language Model (LLM). The generated notes build on the content of micronotes by adding relevant details while maintaining consistency with the user's writing style. In a within-subjects study (n=12), we found that NoTeeline creates high-quality notes that capture the essence of participant micronotes with 93.2% factual correctness and accurately align with participant writing style (8.33% improvement). Using NoTeeline, participants could capture their desired notes with significantly reduced mental effort, writing 47.0% less text and completing their notes in 43.9% less time compared to a manual notetaking baseline. Our results suggest that NoTeeline enables users to integrate LLM assistance in a familiar notetaking workflow while ensuring consistency with their preferences - providing an example of how to address broader challenges in designing AI-assisted tools to augment human capabilities without compromising user autonomy and personalization. © 2025 Copyright held by the owner/author(s).

关键词： Large Language Model

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