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A Survey on Deep Learning for Design and Generation of Virtual Architecture

ACM computing SURVEYS 2025年第2期57卷 1-41页

作者： Wang, Anqi Dong, Jiahua Lee, Lik-hang Shen, Jiachuan Hui, Pan Hong Kong Univ Sci & Technol Hong Kong Peoples R China Hong Kong Univ Sci & Technol Guangzhou Campus Guangzhou Peoples R China Chinese Univ Hong Kong Hong Kong Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China UCL London England

Three-dimensional (3D) shape generation techniques leveraging deep learning have garnered significant interest from both computer vision and architectural design communities, promising to enrich the content in the virtual environment. However, research on virtual architectural design remains limited, particularly regarding designer-AI collaboration and deep learning-assisted design. In our survey, we reviewed 149 related articles (81.2% of articles published between 2019 and 2023) covering architectural design, 3D shape techniques, and virtual environments. Through scrutinizing the literature, we first identify the principles of virtual architecture and illuminate its current production challenges, including datasets, multimodality, design intuition, and generative frameworks. We then introduce the latest approaches to designing and generating virtual buildings leveraging 3D shape generation and summarize four characteristics of various approaches to virtual architecture. Based on our analysis, we expound on four research agendas, including agency, communication, user consideration, and integrating tools. Additionally, we highlight four important enablers of ubiquitous interaction with immersive systems in deep learning-assisted architectural generation. Our work contributes to fostering understanding between designers and deep learning techniques, broadening access to designer-AI collaboration. We advocate for interdisciplinary efforts to address this timely research topic, facilitating content designing and generation in the virtual environment.

关键词： human-centered computing Interaction design process and methods Virtual reality computing methodologies Machine learning Applied computing Architecture buildings

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Purpose Mode: Reducing Distraction through Toggling Attention Capture Damaging Patterns on Social Media Web Sites

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ACM TRANSACTIONS ON COMPUTER-human INTERACTION 2025年第1期32卷

作者： Lee, Hao-Ping (Hank) Chiang, Yi-Shyuan Gao, Lan Yang, Stephanie Winter, Philipp Das, Sauvik Carnegie Mellon Univ Human Comp Interact Inst Pittsburgh PA 15213 USA Univ Illinois Dept Comp Sci Urbana IL USA Univ Chicago Dept Comp Sci Chicago IL USA Amnes Syst Blountstown FL USA

Social media web sites thrive on user engagement by employing Attention Capture Damaging Patterns (ACDPs), e.g., infinite scroll, that prey on cognitive vulnerabilities to distract users. Prior work has taxonomized these ACDPs, but we have yet to measure how the presence of ACDPs impacts perceived distraction nor how mechanisms that suppress ACDPs reduce distraction. We conducted a 2-week, mixed-methods field study with 29 participants to model how people get distracted when browsing social media web sites and how ACDPs might play a role. In the first week of the study, we sample participants' in situ perceptions of distraction, subjective perceptions of the browsing session (e.g., satisfaction), and the presence/absence of ACDPs. Participants reported feeling distracted 28% of the time and that subjective perceptions and some ACDPs (e.g., notifications) highly correlated with when they felt distracted. In the second week of the study, participants were given access to Purpose Mode-a browser extension that allows users to "toggle off" ACDPs. Participants reported feeling distracted only 7% of the time and spent 21 fewer daily minutes browsing these web sites. We discovered that Purpose Mode empowered users to feel more in control over their social media browsing and made participants feel less irritated and frustrated.

关键词： human-centered computing Empirical studies in HCI Interactive systems and tools

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Towards Better Utilization of Haptic Interaction in Visualization: Design Space and Knob Prototype

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INTERNATIONAL JOURNAL OF human-COMPUTER INTERACTION 2025年第9期41卷 5384-5405页

作者： Zhang, Gefei Sun, Guodao Sun, Zifeng Tang, Jingwei Jiang, Li Liang, Ronghua Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou Peoples R China

humans encounter a vast array of sensory stimuli in their everyday lives. However, many visualization techniques primarily utilize visual feedback, which may disregard certain intricate details. Relying on a single visual channel may overlook complex layouts. However, how haptic force feedback can be used to assist visualization remained under-explored. In this work, we initially conducted a literature review to identify potential problems in the visualization of large datasets and engaged in discussions with domain experts to explore the potential of haptic force feedback and visual collision representation. Subsequently, we designed an innovative haptic force feedback knob, which included 3 primary modules and 29 elements. To evaluate the clarity and usefulness of this design space, we conducted a workshop and devised "recommended solutions" for the identified visualization problems. Finally, we implemented a prototype of the haptic force feedback knob and assessed its performance on scatterplot and parallel coordinate plot tasks using large datasets. The results indicated that the knob prototype could reduce visual strain and enhance the efficiency of visualization tasks.

关键词： human-centered computing human-computer interaction User studies

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An Evaluation of View Rotation Techniques for Seated Navigation in Virtual Reality

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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2024年第7期30卷 4257-4270页

作者： Benda, Brett Sargunam, Shyam Prathish Nourani, Mahsan Ragan, Eric D. Univ Florida Dept Comp & Informat Sci & Engn Gainesville FL 32611 USA Autodesk San Rafael CA 94903 USA

Head tracking is commonly used in VR applications to allow users to naturally view 3D content using physical head movement, but many applications also support turning with hand-held controllers. Controller and joystick controls are convenient for practical settings where full 360-degree physical rotation is not possible, such as when the user is sitting at a desk. Though controller-based rotation provides the benefit of convenience, previous research has demonstrated that virtual or joystick-controlled view rotation to have drawbacks of sickness and disorientation compared to physical turning. To combat such issues, researchers have considered various techniques such as speed adjustments or reduced field of view, but data is limited on how different variations for joystick rotation influences sickness and orientation perception. Our studies include different variations of techniques such as joystick rotation, resetting, and field-of-view reduction. We investigate trade-offs among different techniques in terms of sickness and the ability to maintain spatial orientation. In two controlled experiments, participants traveled through a sequence of rooms and were tested on spatial orientation, and we also collected subjective measures of sickness and preference. Our findings indicate a preference by users towards directly-manipulated joystick-based rotations compared to user-initiated resetting and minimal effects of technique on spatial awareness.

关键词： Legged locomotion Turning Tracking Teleportation Virtual environments Navigation Three-dimensional displays human-centered computing human-computer interaction virtual reality

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Meetor: A human-centered Automatic Video Editing System for Meeting Recordings

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ACM TRANSACTIONS ON MULTIMEDIA computing COMMUNICATIONS AND APPLICATIONS 2024年第9期20卷 1-23页

作者： Duan, Haihan Liao, Junhua Lin, Lehao EL Saddik, Abdulmotaleb Cai, Wei Shenzhen MSU BIT Univ Shenzhen Peoples R China Chinese Univ Hong Kong Shenzhen Peoples R China Mohamed bin Zayed Univ Artificial Intelligence Masdar City U Arab Emirates Sichuan Univ Chengdu Peoples R China Univ Ottawa Ottawa ON Canada

Widely adopted digital cameras and smartphones have generated a large number of videos, which have brought a tremendous workload to video editors. Recently, a variety of automatic/semi-automatic video editing methods have been proposed to tackle these issues in some specific areas. However, for the production of meeting recordings, the existing studies highly depend on extra equipment in the conference venues, such as the infrared camera or special microphone, which are not practical. In this article, we design and implement Meetor, a human-centered automatic video editing system for meeting recordings. The Meetor mainly contains three parts: an audio-based video synchronization algorithm, human-centered video content flaw detection algorithms, and an automatic video editing algorithm. Two main experiments are conducted from both objective and subjective aspects to evaluate the performance of the Meetor. The experimental results on a testbed illustrate that the proposed algorithms could achieve state-of-the-art (SOTA) performance in video content flaw detection. However, the conducted user study demonstrates that Meetor could generate meeting recordings with a satisfactory quality compared with professional video editors. Moreover, we also present a practical application of the Meetor in a university campus prototype, in which the Meetor is applied in the automatic editing of lecture recordings. All in all, the proposed Meetor can be utilized in practical applications to release the workload of professional video editors.

关键词： Automatic video editing meeting recording human-centered computing

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An adaptation of SCRUM for accessible websites development focused on testing

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UNIVERSAL ACCESS IN THE INFORMATION SOCIETY 2024年 1-10页

作者： Rodriguez-Gonzalez, Jonnathan Romero-Chacon, Victor Muir-Camacho, Harry Naranjo-Zeledon, Luis Chacon-Rivas, Mario Costa Rica Inst Technol Inclutec Cartago Costa Rica

Both research and development of accessible websites are attempts at improving the quality of life of people with disabilities. Some of them focus on aligning with the Web Content Accessibility Guidelines (WCAG). Poor quality of content on some websites may cause rejection from users with disabilities, and the development and testing processes to ensure accessibility are often complex. This paper presents the actual experience of implementing an adaptation of SCRUM that assists in constructing and testing accessible websites continuously in the software life cycle, controlling usability and accessibility errors in a timely manner. This approach is innovative because it fosters implementation and testing of accessibility in software more quickly and with greater flexibility. Two use cases are presented, namely "Information System of Costa Rica on the Disability" (SICID, by its acronym in Spanish) and National Board of the Blind (PANACI, by its acronym in Spanish).

关键词： human-centered computing Accessibility Web Standards Scrum agile methodology Web accessibility Automatic accessibility tests

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Establishing Design computing and Extended Reality Facilities for Remote Virtual Reality Training

Establishing Design Computing and Extended Reality Facilitie...

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30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR)

作者： Yu, Lap-Fai Li, Changyang Zhang, Yongqi Alghofaili, Rawan Huang, Haikun Yu, Liuchuan Liu, Huimin Choi, Minsoo Bannan, Brenda Mousas, Christos George Mason Univ Fairfax VA 22030 USA Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9798350348392

We discuss the existing facilities at the Design computing and Extended Reality (DCXR) Lab at George Mason University, which comprise mostly commercial off-the -shelf computing and extended reality devices, for conducting research on virtual reality -based training, We also share thoughts on extending the facilities for conducting more sophisticated virtual reality (VR) training research in the future, which features more advanced functionali ties such as remote VR training, adaptive training, and co-training in VR. In particular, we discuss a remote VR training platform to be established between George Mason University and Purdue University.

关键词： computing methodologies Computer graphics Graphics systems and interfaces Virtual reality human-centered computing human-computer interaction Interactionparadigms Virtual reality

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Enricommender: Business Intelligence for User Interface Design

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INTERACTING WITH COMPUTERS 2024年第1期37卷 1-17页

作者： Ciarrone, Alexis Leiva, Luis A. Dubiel, Mateusz Univ Luxembourg Luxembourg Luxembourg

Graphical user interface (GUI) browsing and retrieval tools are becoming essential to interaction design research and practice. These tools allow GUI designers to browse large amounts of data and recover inspiring or relevant designs for their task. Unfortunately, data-driven market analysis or business intelligence (BI) applied to GUIs have mostly been left aside. To address this research gap, we elicit designers' needs and responses regarding the development of Enricommender, a high-fidelity prototype of a market analysis recommender and reporting system. We identify and discuss key design challenges, as reported by more than 200 real-world designers, as well as their workflows and overall expectations towards such a BI system. Ultimately, this article sets the foundation for developing future GUI-oriented BI applications.

关键词： Graphical User Interfaces Comparative analysis Requirements engineering ACM CCS2 Keywords: Information systems Business intelligence human-centered computing Systems and tools for interaction design.

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Classification of Internal and External Distractions in an Educational VR Environment Using Multimodal Features

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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 2024年第11期30卷 7332-7342页

作者： Asish, Sarker M. Kulshreshth, Arun K. Borst, Christoph W. Sutradhar, Shaon Florida Polytech Univ Lakeland FL 33805 USA Univ Louisiana Lafayette LA 70504 USA AIMEN AI & Data Analyt Lab O Porrino Spain

Virtual reality (VR) can potentially enhance student engagement and memory retention in the classroom. However, distraction among participants in a VR-based classroom is a significant concern. Several factors, including mind wandering, external noise, stress, etc., can cause students to become internally and/or externally distracted while learning. To detect distractions, single or multi-modal features can be used. A single modality is found to be insufficient to detect both internal and external distractions, mainly because of individual variability. In this work, we investigated multi-modal features: eye tracking and EEG data, to classify the internal and external distractions in an educational VR environment. We set up our educational VR environment and equipped it for multi-modal data collection. We implemented different machine learning (ML) methods, including k-nearest-neighbors (kNN), Random Forest (RF), one-dimensional convolutional neural network - long short-term memory (1 D-CNN-LSTM), and two-dimensional convolutional neural networks (2D-CNN) to classify participants' internal and external distraction states using the multi-modal features. We performed cross-subject, cross-session, and gender-based grouping tests to evaluate our models. We found that the RF classifier achieves the highest accuracy over 83% in the cross-subject test, around 68% to 78% in the cross-session test, and around 90% in the gender-based grouping test compared to other models. SHAP analysis of the extracted features illustrated greater contributions from the occipital and prefrontal regions of the brain, as well as gaze angle, gaze origin, and head rotation features from the eye tracking data.

关键词： Electroencephalography Feature extraction Gaze tracking Brain modeling Physiology Avatars Convolutional neural networks Machine Learning human-centered computing EEG Eye-tracking

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An Interactive Differential Evolution Method With human Auditory Perception for Sound Composition

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IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 2024年第3期16卷 1134-1146页

作者： Wang, Yanan Pei, Yan Shindo, Hayato Liu, Qing Ren, Hai-Peng Univ Aizu Grad Sch Comp Sci & Engn Aizu Wakamatsu Fukushima 9658580 Japan Univ Aizu Comp Sci Div Aizu Wakamatsu Fukushima 9658580 Japan Xian Univ Technol Shaanxi Key Lab Complex Syst Control & Intelligent Xian 710048 Shaanxi Peoples R China

Interactive evolutionary computation (IEC) finds diverse applications in the domain of sound. However, there is a lack of methods and operations for combining sound elements into a composite sound during the crossover phase of sound composition. To this end, we propose a novel composite crossover operation using paired comparison-based interactive differential evolution. This operation integrates the target and mutant vectors into a composite sound through linear rescaling, enabling users to synthesize and assess their preferred sounds during the evaluation phase. Moreover, an optimization-stopping mechanism is incorporated to allow users to halt the process when a satisfactory sound is produced. This helps to alleviate user fatigue by eliminating unnecessary candidate sounds and improving the efficiency of the composition process by reducing redundant generations and time consumption. The efficacy of this operation was demonstrated through comparative testing and sound quality analysis. Furthermore, this article presents an original analytical approach based on four fundamental attributes of sound for analyzing human auditory preferences in composite sounds. This method combines both quantitative and qualitative paradigms, achieved through principal component analysis and human subjective auditory analysis. These discoveries have significant implications for both sound composition and the analysis of human auditory perception.

关键词： IEC Fatigue Music Evolutionary computation Testing Media IEC Standards Auditory perception human-centered computing interactive differential evolution (IDE) interactive evolutionary computation (IEC) preference analysis sound composition

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