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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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Autonomous Vision-based Robotic Grasping of Household Objects: A Practical Case Study 11

Autonomous Vision-based Robotic Grasping of Household Object...

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11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023

作者： Roudbari, Asal Dalvand, Mahdi Pasiar, Navid Asadi, Navid Yousefi, Mohammad Masouleh, Mehdi Tale Sharif University of Technology Electrical Engineering Department Tehran Iran University of Tehran Human Robot Interaction Lab Tehran Iran University of Tehran Human Robot Interaction Lab School of Electrical Computer Engineering Tehran Iran

ISBN: (纸本)9798350308105

Autonomous robotic grasping has emerged as a valuable capability for automating everyday household tasks like table setting (bossing), cleaning, and meal preparation. Still, accurately detecting and manipulating diverse everyday objects in unstructured home environments remains a significant challenge. In this study, an integrated robotic system combining YOLOv8s-seg deep learning for object detection and segmentation with computer vision techniques to determine optimal grasping points is proposed. The accuracy of this model has also been compared with other models through their mAP0.5, mAP.05-.95, precision and recall. A custom dataset of over 1000 images containing common household objects was created, with manual annotation and augmentation to train the YOLOv8s-seg segmentation model. The approach processes input images to understand desired arrangements and identify target objects and their locations for grasping. The detected objects are localized using camera-to-robot calibration and aligned with estimated orientations from computer vision techniques. Extensive tests have proven that representative household objects in cluttered arrangements have a grasping success rate of over 90% using a 3DOF Delta Parallel robot with a 2-finger gripper guided entirely by visual perception. By overcoming real-world challenges like transparent and reflective materials, the perception-guided robots provide precise and efficient robotic grasping in unstructured home environments. This integrated approach combines robust perception and localization, providing promising evidence for reliable automation of repetitive household organization tasks1.1A video of real-time grasp performance is uploaded as supplementary material. © 2023 IEEE.

关键词： Object detection

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How do we counter dangerous speech in Italy? 10

How do we counter dangerous speech in Italy?

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10th Italian Conference on Computational Linguistics, CLiC-it 2024

作者： Tonini, Vittoria Frenda, Simona Stranisci, Marco Antonio Patti, Viviana Computer Science Department University of Turin Torino Italy Aequa-Tech Torino Italy Interaction Lab Heriot-Watt University Edinburgh United Kingdom

The phenomenon of online dangerous speech is a growing challenge and various organisations try to prevent its spread answering promptly to hateful messages online. In this context, we propose a new dataset of activists' and users' comments on Facebook reacting to specific news headlines: AmnestyCounterHS. Taking into account the literature on counterspeech, we defined a new schema of annotation and applied it to our dataset, in order to examine the most used counter-narrative strategies in Italy. This research aims to support the future development of automatic counterspeech generation. This paper presents also a comparative analysis of our dataset with other two datasets in Italian (Counter-TWIT and multilingual CONAN) containing dangerous speech and counter narratives. Through this analysis, we will understand how the environment (artificial vs. ecological) and the topics of discussions online influence the nature of counter narratives. Our findings highlight the predominance of negative sentiment and emotions, the varying presence of stereotypes, and the strategic differences in counter narratives across datasets. © 2024 CEUR-WS. All rights reserved.

关键词： Abusive language Counter narrative Italian language Linguistic analysis

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Breath Tools: Exploring the Effects on Adherence and User Experience of 4 Sounds Assisting Runners with Coupling Breath to Steps

Breath Tools: Exploring the Effects on Adherence and User Ex...

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Extended Abstracts of the 2023 CHI Conference on human Factors in Computing Systems, CHI EA 2023

作者： Van Rheden, Vincent Harbour, Eric Finkenzeller, Thomas Meschtscherjakov, Alexander Human Computer Interaction Division Department of Artificial Intelligence and Human Interfaces University of Salzburg Salzburg Austria Department of Sport and Exercise Science University of Salzburg Rif Hallein Austria

ISBN: (纸本)9781450394222

Running is a popular sport worldwide. Locomotor-Respiratory Coupling (LRC), a breathing technique in which the breath is coupled to steps, can positively impact running experience and economy. LRC may be difficult to learn and maintain during a run. Sound cues are a promising method to guide LRC while running. We designed four guiding sounds and evaluated these in a preliminary study (N=9). All sounds supported participants with LRC (on average 74.9±16.2% of time attached to the LRC rhythm). Based on our findings we advocate sound guidance for LRC and present directions to improve adherence and run experience. © 2023 Owner/Author.

关键词： Sports

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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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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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Evaluation Criteria and Assessments for Effective User Experiences, Web Accessibility, and interaction for Visually Impaired Users 8th

Evaluation Criteria and Assessments for Effective User Exper...

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8th International Conference on Computational science and Technology, ICCST 2021

作者： Jantan, Azrul Hazri Yazid, Mariam Azwa Husain, Wan Nur Liyana Wan Human-Computer Interaction Research Lab Faculty of Computer Science and Information Technology Universiti Putra Malaysia Selangor43400 Malaysia

ISBN: (纸本)9789811685149

To date, the advancement in web and internet technologies have changed the way on how people interact with computer software/application. Information is much easier to accessed, processes can be performed faster, and interaction can be controlled fully by users. However, the complexity of the web accessibility, application interaction, and components of user experience were also increasing. Thus, to fulfil the web usability requirements and its comprehensiveness, web experts’ verification and validation are required to support the overall design modelling including its internal strength of the domain. This paper will elaborate and discuss the main criteria included in the verification and validation processes towards visually impaired users. We built our evaluation (usability) criteria based on previous research and represent them as questionnaire for qualitative assessment of a web application. The main objective is to propose the best evaluation criteria for a web evaluation and assessment usability to support the design modelling and interaction effectiveness among visually impaired users. It will include better technology understanding on both design and evaluation criteria of the whole domain structure including their interactivity that reflect the web accessibility, application interaction, and user experience components. The proposed evaluation criteria will be focusing on three section, called interaction characteristics, user experience components, and the outcome of the final judgement. We envisage effective and comprehensive evaluation criteria that could be integrated and provide positive feedback from the experts’ review and their findings. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Usability engineering

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Toward Anxiety-Reducing Pocket Robots for Children

Toward Anxiety-Reducing Pocket Robots for Children

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International Conference on Ubiquitous Robots (UR)

作者： Morten Roed Frederiksen Kasper Stoy Maja Matarić Computer Science Department Interaction Lab University of Southern California Copenhagen S Computer Science Department Interaction Lab University of Southern California

ISBN: (数字)9798350361070

ISBN: (纸本)9798350361087

A common denominator for most therapy treatments for children who suffer from an anxiety disorder is daily practice routines to learn techniques needed to overcome anxiety. However, applying those techniques while experiencing anxiety can be highly challenging. This paper presents the design, implementation, and pilot study of a tactile hand-held pocket robot “AffectaPocket”, designed to work alongside therapy as a focus object to facilitate coping during an anxiety attack. The robot does not require daily practice to be used, has a small form factor, and has been designed for children 7 to 12 years old. The pocket robot works by sensing when it is being held and attempts to shift the child's focus by presenting them with a simple three-note rhythm-matching game. We conducted a pilot study of the pocket robot involving four children aged 7 to 10 years, and then a main study with 18 children aged 6 to 8 years; neither study involved children with anxiety. Both studies aimed to assess the reliability of the robot's sensor configuration, its design, and the effectiveness of the user tutorial. The results indicate that the morphology and sensor setup performed adequately and the tutorial process enabled the children to use the robot with little practice. This work demonstrates that the presented pocket robot could represent a step toward developing low-cost accessible technologies to help children suffering from anxiety disorders.

关键词： Anxiety disorders Sociology Medical treatment Tactile sensors Tutorials Games Aging

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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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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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