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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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Automated Facial Expression Recognition and Age Estimation Using Deep Learning

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computers, Materials & Continua 2022年第6期71卷 5235-5252页

作者： Syeda Amna Rizwan Yazeed Yasin Ghadi Ahmad Jalal Kibum Kim Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science and Software Engineering Al Ain UniversityAbu Dhabi122612UAE Department of Human-Computer Interaction Hanyang UniversityAnsan15588Korea

With the advancement of computer vision techniques in surveillance systems,the need for more proficient,intelligent,and sustainable facial expressions and age recognition is *** main purpose of this study is to develop accurate facial expressions and an age recognition system that is capable of error-free recognition of human expression and age in both indoor and outdoor *** proposed system first takes an input image pre-process it and then detects faces in the entire *** that landmarks localization helps in the formation of synthetic face mask prediction.A novel set of features are extracted and passed to a classifier for the accurate classification of expressions and age *** proposed system is tested over two benchmark datasets,namely,the Gallagher collection person dataset and the Images of groups *** system achieved remarkable results over these benchmark datasets about recognition accuracy and computational *** proposed system would also be applicable in different consumer application domains such as online business negotiations,consumer behavior analysis,E-learning environments,and emotion robotics.

关键词： Feature extraction face expression model local transform features and recurrent neural network(RNN)

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UI/UX Fundamental Design for Mobile Application Prototype to Support Web Accessibility and Usability Acceptance A Scenario-based Design of Mobile Application for Visually Impaired Users 23

UI/UX Fundamental Design for Mobile Application Prototype to...

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12th International Conference on Software and computer Applications, ICSCA 2023

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

ISBN: (纸本)9781450398589

User interface (UI) and user experience (UX) design is an evolving research topic that took up many attentions from researchers especially in software/web design processes. Effective UI/UX design could provide better navigational and accessibility support to access information;intuitive interaction processes to perform several tasks;and good users feedback/responses for its usability acceptance. In this article, we will discuss and overview the fundamental processes of constructing UI/UX design for mobile-based application which focusing on the interactions performed by visually impaired and blind (VIB) users. To meet our purpose, we worked together with the Malaysian Association for the Blind (MAB) to get valuable and useful information as part of the key input in this project. MAB is an association located in Brickfields, Kuala Lumpur that provide facilities and assistance for the People with Disabilities in the category of blindness. The main objective of this collaboration is to establish a strong communication and support between the Universiti Putra Malaysia (UPM) and the MAB in the context of technological support in ICT. We envisage the collaboration to provide better understanding and solutions to any current issues involving VIB users in digital world especially in information technology application and its environments. This article in general emphasizes the overall UI/UX design processes for mobile application prototype development which covered scenario-based activities and tasks among the VIB users. At the end of this article, we will discuss and summarize the best practice of the design steps and processes to provide effective user interface presentation to support better web accessibility and usability acceptance among VIB users. © 2023 Copyright held by the owner/author(s).

关键词： User interfaces

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A 2D Geometry Based Grasping Pose Generation Algorithm for a Two-Finger Robot Hand 31

A 2D Geometry Based Grasping Pose Generation Algorithm for a...

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31st International Conference on Electrical Engineering, ICEE 2023

作者： Akbari, Arash Akbari, Arman Masouleh, Mehdi Tale University of Tehran Department of Computer Science Tehran Iran School of Electrical and Computer Engineering Human and Robot Interaction Laboratory Tehran Iran

ISBN: (纸本)9798350312560

Robot grasping is of paramount importance in industrial and service robotics. In recent years, various data-driven algorithms have been proposed to solve the problem of grasp detection and a part of them are based on reinforcement learning (RL) approaches. In a variety of proposed algorithms, random key points are being employed which will make the learning process inefficient and time-consuming. In this paper, a geometry-based algorithm is presented which can find grasp poses based on the geometry of the unknown object and propose the ones which may lead to successful grasping. For the grasp contacts computation part, the presented algorithm produces a finite number of key points based on the 2D shape of the object from a specific point of view. Afterward, it will narrow down the candidate points and output a finite number of successful grasp poses based on three grasp quality metrics for various unknown objects. Three approaches are proposed in order to achieve center points which can describe different parts of a 2D shape. Then, the obtained points are used as the center of circles which are tangent to the 2D shape contour. Also, a new grasp quality metric is proposed. The time of the grasp and the amount of object disorientation after grasping are considered as a metric to evaluate the successfulness of the grasp. Simulation results demonstrate that the proposed algorithm for unknown object grasping can find a finite number of successful grasp poses for different seen or unseen objects without using any random point © 2023 IEEE.

关键词： Geometry

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Enhancing Immersive Sensemaking with Gaze-Driven Recommendation Cues 25

Enhancing Immersive Sensemaking with Gaze-Driven Recommendat...

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30th International Conference on Intelligent User Interfaces, IUI 2025

作者： Tahmid, Ibrahim Asadullah North, Chris Davidson, Kylie Whitley, Kirsten Bowman, Doug Computer Science Virginia Tech BlacksburgVA United States Department of Computer Science Virginia Tech BlacksburgVA United States Center for Human-Computer Interaction Virginia Tech BlacksburgVA United States Department of Defense College ParkMD United States

ISBN: (纸本)9798400713064

Sensemaking is a complex task that places a heavy cognitive demand on individuals. With the recent surge in data availability, making sense of vast amounts of information has become a significant challenge for many professionals, such as intelligence analysts. Immersive technologies such as mixed reality offer a potential solution by providing virtually unlimited space to organize data. However, the difficulty of processing, filtering relevant information, and synthesizing insights remains. We proposed using eye-tracking data from mixed reality head-worn displays to derive the analyst's perceived interest in documents and words, and convey that part of the mental model to the analyst. The global interest of the documents is reflected in their color, and their order on the list, while the local interest of the documents is used to generate focused recommendations for a document. To evaluate these recommendation cues, we conducted a user study with two conditions: a gaze-aware system, EyeST, and a "Freestyle"system without gaze-based visual cues. Our findings reveal that the EyeST helped analysts stay on track by reading more essential information while avoiding distractions. However, this came at the cost of reduced focused attention and perceived system performance. The results of our study highlight the need for explainable AI in human-AI collaborative sensemaking to build user trust and encourage the integration of AI outputs into the immersive sensemaking process. Based on our findings, we offer a set of guidelines for designing gaze-driven recommendation cues in an immersive environment. © 2025 Copyright held by the owner/author(s).

关键词： Information filtering

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Korean Language NLP Model Based Emotional Analysis of LGBTQ Social Media Communities 17

Korean Language NLP Model Based Emotional Analysis of LGBTQ ...

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17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023

作者： Chi, Younghyun Kim, Jang Hyun Sun, Seungjong College of Computing and Informatics Sungkyunkwan University Department of Computer Science Suwon Korea Republic of Intelligence Interaction Sungkyunkwan University Department of Interaction Science Department of Human-Artificial Seoul Korea Republic of

ISBN: (纸本)9781665453486

Sexual minorities are increasingly gaining social visibility and legal rights guarantees at the constitutional level across much of the world, from South America, the United States, and Europe to Japan, Taiwan, and Thailand. At the same time, the COVID-19 pandemic has brought on significant mental health challenges for the public due to accompanying social and economic impact and measures, most of them adverse. Given pre-existing studies highlighting the minority demographic's vulnerability to depression and other mental health symptoms, and the increasing availability of accessible NLP tools, datasets, and models, this paper uses an emotional classification model to analyze emotional trends in queer communities on social media. Using KoBERT with a pre-labelled dataset containing some forty thousand scraped social media posts labelled with emotions, patterns of emotional expression on Twitter in the queer community is revealed. Resulting data provided a validation of the viability of this method of analyzing trends in negative and positive emotional expression as well as the impact COVID-19 had on online queer communities in early 2020 but revealed limitations. © 2023 IEEE.

关键词： Natural language processing systems

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Pseudo-Haptics for Weight Perception in VR: Controller vs. Bare Hand interactions with Tracking Delay and Vertical Offset

Pseudo-Haptics for Weight Perception in VR: Controller vs. B...

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Virtual Reality (ICVR), IEEE International Conference on

作者： Chiwoong Hwang Tiare Feuchtner Kaj Grønbæk Department of Computer Science Aarhus University Denmark Human-Computer Interaction Group Konstanz University Germany

ISBN: (数字)9798350364231

ISBN: (纸本)9798350364248

Training in virtual reality (VR) offers advantages such as a safe learning environment, good scalability, and cost saving. However, state-of-the-art simulations are limited in faithfully conveying real-world physical object properties such as weight without complex technologies and instrumentation of the user or environment, which may negatively impact learning. A potential solution is the application of pseudo-haptics: illusory haptic sensations induced by a mismatch between real and virtual hand positions. Researchers have proposed various pseudo-haptic techniques to alter the perception of weight in virtual environments, but their effectiveness with hand tracking compared to VR controllers is underexplored. Hence, we investigate impacts of the interaction method for two different types of pseudo-haptic feedback based on Tracking Delay and Vertical Offset. Our results indicate that pseudo-haptics can effectively facilitate the sensation of weight both with controllers and bare hands, whereby each has benefits: hand tracking can enhance body ownership, while controllers may improve perceived responsiveness of virtual environments. Also, pseudo-haptics with Tracking Delay may be preferable for repetitive lifting tasks, as Vertical Offset can be prone to higher physical demand. The current study provides insights into the design of pseudo-haptic feedback and interaction technologies for weight perception in VR.

关键词： Hands Training Manufacturing industries Solid modeling Scalability Instruments Virtual environments User experience Delays Haptic interfaces

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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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Rethinking (human) Bodies in HRI: Embodied interactions Every Day 6

Rethinking (Human) Bodies in HRI: Embodied Interactions Ever...

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

作者： Fantasia, Valentina Winkle, Katie Harrison, Katherine Ziemke, Tom Lisy, Dominika Dobrosovestnova, Anna Department of Philosophy and Cognitive Science Lund University Sweden Department of Information Technology Uppsala University Sweden Department of Thematic Studies Linköping University Sweden Department of Cognitive Science Linköping University Sweden Human Computer Interaction Group TU Wien Austria

ISBN: (纸本)9781643685670

Significant amounts of HRI research effort are spent on the design/evaluation of robot bodies. Critical discussion and debates concerning the way bodies are treated and considered within HRI have tended to focus on the implications of designing/interacting with highly anthropomorphic robots, yet drawing attention away from the human body in HRI, particularly in the context of everyday interactions with "unexpectedly" social robots, i.e. those non-humanoid robots that human users interact with in a somewhat "social" way. These kind of robots crystallise particular aspects of (and tensions between) the different ways in which bodies are understood across disciplines. At the same time, a fundamental, and largely neglected tool for HRI research is the researchers' own embodied experience of the intersubjective role. This workshop has invited speakers and audience to engage in cross-disciplinary conversations on embodiment in HRI, highlighting the different ways in which "the body" is or can be variously conceptualised and researched. © 2025 IOS Press. All rights reserved.

关键词： Social robots

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Identity and Community Matter(s): Exploring Socio-cultural Dimensions of Functional Service Robots Acceptance in Public Spaces

Identity and Community Matter(s): Exploring Socio-cultural D...

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IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Anna Dobrosovestnova Ralf Vetter Astrid Weiss Human-Computer Interaction Group TU Wien Austria Department for Artificial Intelligence and Human Interfaces Human-Computer Interaction Division University of Salzburg Austria

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

As autonomous functional robots proliferate in public spaces, understanding their acceptance among diverse populations becomes crucial. Traditional models of technology acceptance focus on behavioral and cognitive factors, overlooking the socio-cultural and temporal scaffolding of human-robot interaction. To address this gap, we present two themes (Identity Matters, Community Matters) resulting from a qualitative analysis of ethnographic interviews (n = 20) with passersby and vendors who have experienced Starship delivery robots deployed in their communities. Situating the outcomes of our analysis in relation to existing technology acceptance models, we offer five lessons contributing to the efforts in understanding existence and usage-related acceptance of autonomous functional robots in public spaces.

关键词： Technology acceptance model Service robots human-robot interaction Interviews Robots

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