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检索条件"主题词=Human-centered computing"

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Hybrid Traffic Route Visual Recommendation Based on Multilayer Complex Networks 15

Hybrid Traffic Route Visual Recommendation Based on Multilay...

引用

IEEE 15th Pacific Visualization Symposium (PacificVis)

作者： Zou, Tangyuan Wang, Song Li, Hanglin Wu, Yadong Southwest Univ Sci & Technol Sch Comp Sci & Technol Mianyang Sichuan Peoples R China Sichuan Univ Sci & Engn Sch Comp Sci & Engn Zigong Peoples R China

ISBN: (纸本)9781665423359

Urban traffic congestion is a major nuisance for residents' daily commute, but few studies have focused on the effective combination between urban traffic condition visualization and hybrid traffic travel route recommendation. In this paper, the visualization exploration of urban transportation patterns is realized by multilayer complex transportation networks, which are constructed by taxi transportation network, bike-sharing transportation network, and urban transportation community network. Based on multilayer complex traffic networks, a genetic algorithm modified by A* search algorithm is used to generate multi-modal travel routes. The case studies prove that this method can effectively reduce the time cost of commuting between congested areas by generating hybrid traffic routes.

关键词： human-centered computing Visualization Visualization techniques Network visualization human-centered computing Visualization Visual analytics

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Portal Rendering and Creation Interactions in Virtual Reality 21

Portal Rendering and Creation Interactions in Virtual Realit...

引用

21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Ablett, Daniel Cunningham, Andrew Lee, Gun A. Thomas, Bruce H. Univ South Australia Adelaide SA Australia

ISBN: (数字)9781665453257

ISBN: (纸本)9781665453257

Transformative portals are a novel technique for supporting visualizations and interactions between locations that are not co-located in virtual reality (VR). We are interested in improving upon current portal rendering for VR, and supporting VR users to create new portals quickly and accurately. In this paper, we introduce a new high-level algorithm for rendering transformative portals in VR and present the benefits of our approach. By leveraging single-pass stereo and stencil portal rendering, we developed our algorithm to support multiple portals with "infinite" recursion, while running performant on mobile VR devices. We then benchmarked our performance against other common portal rendering implementations. In addition, we focused our research on VR interactions for handheld portals, in which the initial placement of the portal's destination is imperative to its effectiveness. In this paper, we present four new portal creation interactions for handheld portals: fishing reel, raycast with fishing reel, marker, and projectile curve. Based on existing research, we also established standard controls for fine-grained portal manipulation. In a user study, we compared and evaluated how well the creation interactions performed and argue that projectile curve is the most suitable general-purpose technique.

关键词： computing methodologies Computer graphics Graphics systems and interfaces Virtual reality human-centered computing human computer interaction (HCI) Interaction techniques

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DroneARchery: human-Drone Interaction through Augmented Reality with Haptic Feedback and Multi-UAV Collision Avoidance Driven by Deep Reinforcement Learning 21

DroneARchery: Human-Drone Interaction through Augmented Real...

引用

21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Dorzhieva, Ekaterina Baza, Ahmed Gupta, Ayush Fedoseev, Aleksey Cabrera, Miguel Altamirano Karmanova, Ekaterina Tsetserukou, Dzmitry Skolkovo Inst Sci & Technol Moscow Russia

ISBN: (数字)9781665453257

ISBN: (纸本)9781665453257

We propose a novel concept of augmented reality (AR) human-drone interaction driven by RL-based swarm behavior to achieve intuitive and immersive control of a swarm formation of unmanned aerial vehicles. The DroneARchery system developed by us allows the user to quickly deploy a swarm of drones, generating flight paths simulating archery. The haptic interface LinkGlide delivers a tactile stimulus of the bowstring tension to the forearm to increase the precision of aiming. The swarm of released drones dynamically avoids collisions between each other, the drone following the user, and external obstacles with behavior control based on deep reinforcement learning. The developed concept was tested in the scenario with a human, where the user shoots from a virtual bow with a real drone to hit the target. The human operator observes the ballistic trajectory of the drone in an AR and achieves a realistic and highly recognizable experience of the bowstring tension through the haptic display. The experimental results revealed that the system improves trajectory prediction accuracy by 63.3% through applying AR technology and conveying haptic feedback of pulling force. DroneARchery users highlighted the naturalness (4.3 out of 5 point Likert scale) and increased confidence (4.7 out of 5) when controlling the drone. We have designed the tactile patterns to present four sliding distances (tension) and three applied force levels (stiffness) of the haptic display. Users demonstrated the ability to distinguish tactile patterns produced by the haptic display representing varying bowstring tension(average recognition rate is of 72.8%) and stiffness (average recognition rate is of 94.2%). The novelty of the research is the development of an AR-based approach for drone control that does not require special skills and training from the operator. In the future, the proposed interaction can be applied in various fields, for example, for fast swarm deployment in search and rescue missions,

关键词： human-centered computing human computer interaction (HCI) Interaction devices Haptic devices human-centered computing human computer interaction (HCI) Interaction paradigms Mixed / augmented reality

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Defuse the Training of Risky Tasks: Collaborative Training in XR 21

Defuse the Training of Risky Tasks: Collaborative Training i...

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21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Rettinger, Maximilian Rigoll, Gerhard Tech Univ Munich Munich Germany

ISBN: (数字)9781665453257

ISBN: (纸本)9781665453257

Extensive training is crucial but challenging in certain areas such as explosive ordnance disposal. Past conflicts have shown that not only military personal but also civilians have to learn how to disarm unexploded ordnance. The preparation for dangerous situations is difficult and limited in the real world. Extended reality (XR) offers new possibilities to enhance the training of explosive ordnance disposal experts due to its immersive capabilities. This paper presents a comparative study (n = 75) of three distinct training methods: 1) Real-world (Real)-Training with a tangible replica object, 2) Virtual Reality (VR)-Training with a non-see-through Head-Mounted-Display (HMD), and 3) Mixed Reality (MR)-Training in a Cave Automatic Virtual Environment (CAVE). All training methods are collaborative, i.e., an instructor teaches the training content to a participant in the real or virtual world. We evaluate the suitability of these approaches in terms of usability, cognitive workload, training motivation, and training success. Our results indicate that the virtual methods, VR-Training and MR-Training, provide significantly superior results in the evaluated aspects compared to the real-world training. These results can also be applied to other collaborative training methods, as the training concept of this use case was non-specific. Therefore, these virtual technologies can increase the safety of explosive ordnance disposal personnel, and we recommend establishing this in future training.

关键词： human-centered computing human computer interaction (HCI) Interaction paradigms Virtual reality human-centered computing Collaborative and social computing Empirical studies in collaborative and social computing

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Optimizing Performance through Stress and Induction Levels in Virtual Reality Using Autonomic Responses 21

Optimizing Performance through Stress and Induction Levels i...

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21st IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Archer, Dan Steed, Anthony UCL Dept Comp Sci London England

ISBN: (数字)9781665453653

ISBN: (纸本)9781665453653

Virtual reality (VR) is now a consumer technology, but individuals' experience with systems or different applications varies enormously. This means that most consumer applications need to consider how to train naive users in the application's operation. We examine three different ways of imparting on-boarding instructions to users: first-person audio guidance, second-person non-player character (NPC) diegetic guidance or written instruction. Our primary hypothesis is that the second-person condition will induce a higher stress level on the user, given the perceived presence of a supervising NPC. Our secondary hypothesis is that there is a correlation between stress and performance, meaning that participants with elevated stress levels within a certain margin will complete their tasks faster and more successfully. By extension, participants whose stress levels are either above or below this optimal margin will under-perform on the same tasks. The tasks in question are an interaction test (IT), designed to test participants' abilities to pick up and manipulate virtual objects, and a mental rotation test (MRT), designed to place them under cognitive load. During these tasks we measure the users' level of stress from their bio signals via a mobile wearable device that tracks their heart rate (HR), galvanic skin response (GSR) and body temperature in real-time. Statistical significance was not found in the stress or performance levels between the instruction conditions, but the secondary hypothesis was supported and a correlation was found between stress and performance levels across the conditions in both HR and GSR.

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

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Toward Inclusion and Accessibility in Visualization Research: Speculations on Challenges, Solution Strategies, and Calls for Action (Position Paper) 9

Toward Inclusion and Accessibility in Visualization Research...

引用

9th IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)

作者： Angerbauer, Katrin Sedlmair, Michael Univ Stuttgart Visualizat Res Ctr VISUS Stuttgart Germany

ISBN: (数字)9798350396294

ISBN: (纸本)9798350396294

Inclusion and accessibility in visualization research have gained increasing attention in recent years. However, many challenges still remain to be solved on the road toward a more inclusive, shared-experience-driven visualization design and evaluation process. In this position paper, we discuss challenges and speculate about potential solutions, based on related work, our own research, as well as personal experiences. The goal of this paper is to start discussions on the role of accessibility and inclusion in visualization design and evaluation.

关键词： human-centered computing Visualization Visualization design and evaluation methods human-centered computing Accessibility Accessibility design and evaluation methods

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EEG4Home: A human-In-The-Loop Machine Learning Model for EEG-Based BCI 16th

EEG4Home: A Human-In-The-Loop Machine Learning Model for EEG...

引用

16th International Conference on Augmented Cognition (AC) Held as Part of the 24th International Conference on human-Computer Interaction (HCII)

作者： Qu, Xiaodong Hickey, Timothy J. Brandeis Univ Waltham MA 02453 USA Swarthmore Coll Swarthmore PA 19081 USA

ISBN: (纸本)9783031054570;9783031054563

Using Machine Learning and Deep Learning to predict cognitive tasks from electroencephalography (EEG) signals has been a fastdeveloping area in Brain-Computer Interfaces (BCI). Yet, one fundamental challenge is that EEG signals are vulnerable to various noises. This paper identifies two types of noise: external noise and internal noise. External noises are caused by subjects' movement or sensors' instability, and internal noises result from the subjects' random mental activities due to the subjects' mind wandering during the experiment. When the participants conduct other mental activities researchers cannot infer, it will result in data corresponding to' unknown' tasks. We pioneer a human-In-The-Loop (HITL) machine learning model, EEG4Home, to handle both types of noise and increase the accuracy of predicting known tasks. We introduce a plateau threshold to remove external noise and an unknown threshold set to detect unknown tasks to remove internal noise. Both unsupervised (such as K-Means) and supervised (Such as Random Forests, CNN, and RNN) learning algorithms are implemented in this HITL approach. We use the Thinkingl BCI experiments dataset with sixty subjects (available to academic researchers by request). The average prediction accuracy of known tasks has increased from 56.8% to 65.1%. Overall, this EEG4Home model enables researchers or end-users to gain higher prediction accuracy and more interpretable results.

关键词： Brain machine interface Machine learning Interpretability BCI for everyone human-centered computing

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B-Handy: An Augmented Reality System for Biomechanical Measurement

B-Handy: An Augmented Reality System for Biomechanical Measu...

引用

IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Campbell, James Cassinelli, Alvaro Saakes, Daniel Rompapas, Damien Extended Real Labs Brewed Engagement Adelaide SA Australia Hong Kong City Univ Sch Creat Media Hong Kong Peoples R China Univ Twente Design Prod Management Enschede Netherlands

ISBN: (纸本)9781665484022

The study of bio-mechanics allows us to infer measurements for every day objects without needing measurement tools. A limitation of this comes from the complex mental transformations of space involved. The efficiency of this task degrades the larger these measurements become. We present B-Handy, a system that offloads this mental workload by providing visual transformations of space in the form of tracking and duplicating the user's hand in AR. It is our hope that this system will simplify the complexity of these mental transformations and increase the efficiency of bio-mechanical measurements.

关键词： human-centered computing human computer interaction (HCI) Interaction paradigms Mixed / augmented reality human-centered computing human computer interaction (HCI) Interaction techniques Pointing

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Comparing Controller with the Hand Gestures Pinch and Grab for Picking Up and Placing Virtual Objects

Comparing Controller with the Hand Gestures Pinch and Grab f...

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IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Schaefer, Alexander Reis, Gerd Stricker, Didier TU Kaiserslautern Kaiserslautern Germany German Res Ctr Artificial Intelligence Kaiserslautern Germany

ISBN: (纸本)9781665484022

Grabbing virtual objects is one of the essential tasks for Augmented, Virtual, and Mixed Reality applications. Modern applications usually use a simple pinch gesture for grabbing and moving objects. However, picking up objects by pinching has disadvantages. It can be an unnatural gesture to pick up objects and prevents the implementation of other gestures which would be performed with thumb and index. Therefore it is not the optimal choice for many applications. In this work, different implementations for grabbing and placing virtual objects are proposed and compared. Performance and accuracy of the proposed techniques are measured and compared.

关键词： human-centered computing human computer interaction (HCI) Interaction techniques Gestural input human-centered computing human computer interaction (HCI) Interaction paradigms Mixed Mixed / Augmented Reality Virtual Reality

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Creating 3D Personal Avatars with High Quality Facial Expressions for Telecommunication and Telepresence

Creating 3D Personal Avatars with High Quality Facial Expres...

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IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Joachimczak, Michal Liu, Juan Ando, Hiroshi Natl Inst Informat & Commun Technol UCRI Universal Commun Res Inst Adv Real Technol Lab NICT Koganei Tokyo Japan NICT Adv Real Technol Lab UCRI Koganei Tokyo Japan NICT Adv ICT Res Inst Ctr Informat & Neural Networks CiNet Koganei Tokyo Japan

ISBN: (纸本)9781665484022

This study aims at providing a low-cost solution for telepresence where people are reconstructed as 3D avatars using an ordinary webcam, while still exhibiting abundant facial information (such as micro-expressions) that are critical for face-to-face communication. We estimate the basic 3D shape and texture of the body from a set of video frames, and then subsequently update its body pose, facial expression, and facial texture in each frame. Our method is expected to reduce the entry barrier of VR systems and create an embodied telecommunication that conveys rich information and subtle emotional changes to deepen mutual understanding at a distance.

关键词： human-centered computing human computerinteraction (HCI) interactive systems and tools User interface programming human-centered computing Visualization Visualization systems and tools

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