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

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

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

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.

关键词： Wrist Three-dimensional displays Pollution Planets Wildlife Collaboration Virtual environments Immersive experience Games Food products

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Social Simulation for Everyday Self-Care: Design Insights from Leveraging VR, AR, and LLMs for Practicing Stress Relief 25

Social Simulation for Everyday Self-Care: Design Insights fr...

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2025 CHI Conference on human Factors in Computing Systems, CHI 2025

作者： Fang, Anna Chhabria, Hriday Maram, Alekhya Zhu, Haiyi Human-Computer Interaction Institute School of Computer Science Carnegie Mellon University Pittsburgh PA United States University of Michigan Ann Arbor MI United States Barnard College New York NY United States Human Computer Interaction Institute Carnegie Mellon University Pittsburgh PA United States

ISBN: (纸本)9798400713941

Stress is an inevitable part of day-to-day life yet many find themselves unable to manage it themselves, particularly when professional or peer support are not always readily available. As self-care becomes increasingly vital for mental well-being, this paper explores the potential of social simulation as a safe, virtual environment for practicing in-the-moment stress relief for everyday social situations. Leveraging the immersive capabilities of VR, AR, and LLMs to create realistic interactions and environments, we developed eight interactive prototypes for various social stress related scenarios (e.g. public speaking, interpersonal conflict) across design dimensions of modality, interactivity, and mental health guidance in order to conduct prototype-driven semi-structured interviews with 19 participants. Our qualitative findings reveal that people currently lack effective means to support themselves through everyday stress and perceive social simulation - even at low immersion and interaction levels - to fill a gap for practical, controlled training of mental health practices. We outline key design needs for developing social simulation for self-care needs, and identify important considerations including risks of trauma from hyper-realism, distrust of LLM-recommended timing for mental health recommendations, and the value of accessibility for self-care interventions. © 2025 Copyright held by the owner/author(s).

关键词： design large language models mental health speed dating virtual reality

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Advanced Markov Modeling and Simulation for Safety Analysis of Autonomous Driving Functions up to SAE 5 for Development, Approval and Main Inspection 32nd

Advanced Markov Modeling and Simulation for Safety Analysis ...

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32nd European Safety and Reliability Conference, ESREL 2022

作者： Häring, Ivo Satsrisakul, Yupak Finger, Jörg Vogelbacher, Georg Köpke, Corinna Höflinger, Fabian Gelhausen, Patrick Fraunhofer EMI Freiburg Germany University of Hagen Human-Computer Interaction Faculty of Mathematics and Computer Science Hagen Germany

ISBN: (纸本)9789811851834

The development, approval and recurring testing of driving assistance, partial and conditional automation (SAE levels 1 to 3) and, above all, high and full automation (4 to 5) requires an ever-increasing effort. At the same time, there is a lack of recognized sufficiently scalable general quantitative approaches in this area, in particular simulation methods including models, software and hardware up to vehicle-in-the-loop simulations, e.g. in the context of main inspection. In this context, the paper explores the potential of non-classical Markov modeling. First, it exemplifies how vehicles, drivers and other road users can be modeled for different driving scenarios using the Systems Modeling Language (SysML). Based on this model an abstract Markov diagram is presented. The two Markov simulation methods used operate on a discrete finite state space and allow for time-dependent state transitions. When compared to the matrix solver-based simulation, the Monte Carlo based simulation method is in principle extensible to state history-dependent as well as rule-based state transitions. Also, it allows to include subsystem simulation models. The extended Markov model allows to evaluate states with respect to functionality and safety, e.g. to determine whether it is sufficiently likely to reach fail operational states. It can also be used to determine dominant critical transitions and insufficient system resolution. In addition, numerous standardized safety and reliability measures are accessible. It will be shown how such a reference model can be quantified using simple failure models, as well as how it could be fed with further transition and failure models at different levels of abstraction using simulations as well as software tests data up to field test data. Finally, the paper hints at the potential of such an extended Markov modeling, especially with respect to an understandable and efficient safety verification in different product life cycle phases including after

关键词： Markov processes

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CrowdSolve: Managing Tensions in an Expert-Led Crowdsourced Investigation

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Proceedings of the ACM on human-computer interaction 2021年第CSCW1期5卷 1-30页

作者： Venkatagiri, Sukrit Gautam, Aakash Luther, Kurt Department Of Computer Science Center For Human-Computer Interaction Virginia Tech-1 ArlingtonVA United States

Investigators in fields such as journalism and law enforcement have long sought the public's help with investigations. New technologies have also allowed amateur sleuths to lead their own crowdsourced investigations-that have traditionally only been the purview of expert investigators-with mixed results. Through an ethnographic study of a four-day, co-located event with over 250 attendees, we examine the human infrastructure responsible for enabling the success of an expert-led crowdsourced investigation. We find that the experts enabled attendees to generate useful leads;the attendees formed a community around the event;and the victims' families felt supported. Additionally, the co-located setting, legal structures, and emergent social norms impacted collaborative work practice. We also surface three important tensions to consider in future investigations and provide design recommendations to manage these tensions. © 2021 ACM.

关键词： Crowdsourcing

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Systematic Evaluation Approach to Support Effective Web interaction among Visually Impaired Users

Systematic Evaluation Approach to Support Effective Web Inte...

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2022 Applied Informatics International Conference, AiIC 2022

作者： Yazid, Mariam Azwa Jantan, Azrul Hazri Universiti Putra Malaysia Faculty of Computer Science and Information Technology Human-Computer Interaction Research Group Serdang Malaysia

ISBN: (数字)9781728184289

ISBN: (纸本)9781728184289

Today, Internet has become one of the most useful tools for visually impaired community. They use Internet to help with their daily activities such as communication, information retrieval, online shopping, transportation, and many more using interactive websites. However, with the complexity of current website design, it somehow gives them a hard time. Therefore, it is critical to evaluate the interaction experience perceived by the visually impaired users when interacting with website. Based on analysis of previous research, the evaluation can be measured through three major aspects which are user experience, web accessibility and technology acceptance. Those three aspects are expected to influence the overall judgement of web application itself. This paper is meant to provide some insight on the methodological approach for evaluation of interactive website which emphasis on web accessibility need by the visually impaired users. © 2022 IEEE.

关键词： Web Design

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

arXiv

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arXiv 2025年

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

关键词： Reels

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Road Sign Classification Using Transfer Learning and Pre-trained CNN Models 1

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1st International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023

作者： Hosseini, Seyed Hossein Ghaderi, Foad Moshiri, Behzad Norouzi, Mojtaba Human Computer Interaction Lab Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran School of ECE University of Science and Technology Tehran Iran

ISBN: (数字)9783031437632

ISBN: (纸本)9783031437625

In this paper, we propose a transfer learning-based approach for road sign classification using pre-trained CNN models. We evaluate the performance of our fine-tuned VGG-16, VGG-19, ResNet50 and EfficientNetB0 models on the German Traffic Sign Recognition Benchmark (GTSRB) test dataset. Our work makes several contributions, including the utilization of transfer learning with pre-trained CNN models, the integration of augmentation techniques, and a comprehensive evaluation of multiple state-of-the-art architectures on the road sign classification task. Our experimental results show that the proposed approach achieves an average accuracy of 99.2% on the GTSRB test dataset, outperforming existing state-of-the-art approaches. The results confirm that transfer learning and pre-trained models can significantly improve the accuracy of road sign classification, even with a relatively small dataset. Our study contributes to the field of intelligent transportation systems by providing an efficient and accurate method for road sign classification. We believe that our approach can be easily extended to other computer vision tasks and applied to real-world scenarios. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Autonomous vehicles

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A Neural Architecture Search Method with Multi-Dimensional Correlation Representation for Fault Diagnosis 9

A Neural Architecture Search Method with Multi-Dimensional C...

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9th IEEE Smart World Congress, SWC 2023

作者： Liu, Yumeng Wang, Tingqi Zheng, Xu Tian, Ling Wang, Hongan Institute of Software Chinese Academy of Sciences Beijing Key Laboratory of Human-Computer Interaction Beijing China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing China University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu China

ISBN: (纸本)9798350319804

As deep learning has become more widely used for fault diagnosis, the shortcomings of model transferability and human model design costs are growing increasingly evident. The current work has tackled each of these two issues. Domain adaptation methods can provide transportability by mapping data to a common domain. For the consumption of manually constructed networks, Neural Architecture Search (NAS) is an intelligent solution that automatically select the ideal network structure. Unfortunately, there is little work to connect these two methodologies in fault diagnosis. Furthermore, these approaches are incapable in extracting internal correlations from instrumental signal data. In this paper, we propose a transferrable NAS fault diagnosis method, which maximizes savings in manual costs. We also integrate graph neural networks (GNN) in a stepwise manner into the NAS and domain adaptation to provide a multi-dimension correlation representation. Firstly, we structure the signal data into graph based on temporal relationships. Then, NAS designs automatically for selecting the optimal network structure and useful features. In NAS, graph encoder of GNN is used to establish internal relationships. Finally, domain adaptation provides transferability. At the same time, GNN's weights in domain adaptation help to further mine data internal associations. We tested our method on two publicly available datasets and performed comparisons. The experimental results show the proposed method has superior performance. © 2023 IEEE.

关键词： Domain Adaptation Fault Diagnosis Graph Neural Network Neural Architecture Search

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Delivering Script Therapy for people with aphasia in EVA Park: Two single case treatment studies

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Advances in Communication and Swallowing 2024年第1期27卷 29-40页

作者： Marshall, Jane Devane, Niamh Berraondo, Jude Talbot, Richard Temponera, Panagiota Clegg, Katie Wilson, Stephanie Division of Language and Communication Science City University of London London United Kingdom Linguistic Resolutions Pinner United Kingdom Centre for Human-Computer Interaction Design City University of London London United Kingdom

BACKGROUND: There are few applications of virtual reality (VR) in aphasia rehabilitation. EVA Park is an online VR platform developed with and for people with aphasia. Our research is testing its potential to host aphasia therapies. OBJECTIVE: Two case studies evaluated if delivery of Script Therapy in EVA Park is feasible and acceptable to participants, whether it improved production of trained scripts and promoted generalisation to untrained scripts, narrative speech and functional communication. METHODS: Two participants with aphasia received 20 hours of Script Therapy in EVA Park. Feasibility was assessed through session attendance, completion of practice and ratings of treatment fidelity. Acceptability was explored via post therapy interviews. The impact of therapy on script production, narrative production and functional communication was assessed through measures administered twice before therapy, immediately post therapy and at 5 weeks follow up. RESULTS: Participants attended at least 85% of sessions. Compliance with practice was good for one, but not the other. Fidelity ratings indicated that over 80% of core treatment components were fully present in recorded sessions. Participants expressed positive views about the intervention. Therapy significantly improved the production of words in trained scripts, with maintenance for one participant. Neither participant improved in the production of untrained scripts or personal narratives. One improved on the assessment of functional communication, but the margin of change was small. CONCLUSIONS: The study adds to the evidence that EVA Park can host a range of interventions and that this platform is acceptable to its intended user group. © 2024 – IOS Press. All rights reserved.

关键词： Aphasia Script Therapy tele-rehabilitation virtual reality

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The Alchemist: A Gesture-Based 3D User Interface for Engaging Arithmetic Calculations

The Alchemist: A Gesture-Based 3D User Interface for Engagin...

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

作者： Logan Lane Alexander Giovannelli Ibrahim Tahmid Francielly Rodrigues Cory Ilo Darren Hsu Christos Lougiakis Shakiba Davari Doug A. Bowman Department of Computer Science Virginia Tech Center for Human-Computer Interaction Blacksburg VA USA

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

This paper presents our solution to the IEEE VR 2024 3DUI contest. We present The Alchemist, a VR experience tailored to aid children in practicing and mastering the four fundamental mathematical operators. In The Alchemist, players embark on a fantastical journey where they must prepare three potions to break a malevolent curse imprisoning the Gobbler kingdom. Our contributions include the development of a novel number input interface, Pinwheel, an extension of PizzaText [7], as well as four novel gestures, each corresponding to a distinct mathematical operator, designed to assist children in retaining practice with these operations. Preliminary tests indicate that Pinwheel and the four associated gestures facilitate the quick and efficient execution of mathematical operations.

关键词： Visualization Three-dimensional displays Conferences Virtual reality User interfaces Arithmetic

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