Showing 201 - 220 results of 246 for search '"human–computer interaction"', query time: 0.09s Refine Results
  1. 201

    A conceptual framework for designing human-centered building-occupant interactions to enhance user experience in specific-purpose buildings by N. Roofigari-Esfahan, E. Morshedzadeh

    Published 2025-01-01
    “…This research proposes a novel conceptual framework that combines the concepts of Human-Computer Interaction (HCI) and Ambient Intelligence (AmI). …”
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    Article
  2. 202

    Extending NGOMSL Model for Human-Humanoid Robot Interaction in the Soccer Robotics Domain by Rajesh Elara Mohan, Carlos Antonio Acosta Calderon, Changjiu Zhou, Pik Kong Yue

    Published 2008-01-01
    “…In the field of human-computer interaction, the Natural Goals, Operators, Methods, and Selection rules Language (NGOMSL) model is one of the most popular methods for modelling knowledge and cognitive processes for rapid usability evaluation. …”
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  3. 203

    A review on speech recognition approaches and challenges for Portuguese: exploring the feasibility of fine-tuning large-scale end-to-end models by Yan Li, Yapeng Wang, Lap Man Hoi, Dingcheng Yang, Sio-Kei Im

    Published 2025-01-01
    “…Abstract At present, automatic speech recognition has become an important bridge for human-computer interaction and is widely applied in multiple fields. …”
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    Article
  4. 204

    Multiperson Interactive Activity Recognition Based on Interaction Relation Model by Hongbin Tu, Renyu Xu, Rui Chi, Yuanyuan Peng

    Published 2021-01-01
    “…On this ground, it automatically learns from the human-computer interaction dataset in an end-to-end manner and performs reasoning with standard matrix operations. …”
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    Article
  5. 205

    STA-HAR: A Spatiotemporal Attention-Based Framework for Human Activity Recognition by Md. Khaliluzzaman, Md. Furquan, Mohammod Sazid Zaman Khan, Md. Jiabul Hoque

    Published 2024-01-01
    “…Human activity recognition (HAR) has gained significant attention in computer vision and human-computer interaction. This paper investigates the difficulties encountered in human activity recognition (HAR), precisely differentiating between various activities by extracting spatial and temporal features from sequential data. …”
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    Article
  6. 206

    Real-Time On-Device Continual Learning Based on a Combined Nearest Class Mean and Replay Method for Smartphone Gesture Recognition by Heon-Sung Park, Min-Kyung Sung, Dae-Won Kim, Jaesung Lee

    Published 2025-01-01
    “…Sensor-based gesture recognition on mobile devices is critical to human–computer interaction, enabling intuitive user input for various applications. …”
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  7. 207

    Researchers and practitioners talk about users and each other: making user and audience studies matter by Brenda Dervin, CarrieLynn Reinhard

    Published 2006-01-01
    “…</b> We report here on the research phase of a multi-stage dialogue examining convergences and divergences in how three fields (library and information science, human computer interaction and communication and media studies) looked at users and each other. …”
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    Article
  8. 208

    Research on Gait Recognition Based on GaitSet and Multimodal Fusion by Xiling Shi, Wenqiang Zhao, Huandou Pei, Hongru Zhai, Yongxia Gao

    Published 2025-01-01
    “…., assisted identity verification), and human-computer interaction. However, individual differences, such as changes in physical condition, and environmental variability, such as differences in lighting, can impact its accuracy. …”
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    Article
  9. 209

    Dual-Mode Textile Sensor Based on PEDOT:PSS/SWCNTs Composites for Pressure–Temperature Detection by Ying Wang, Qingchao Zhang, Zhidong Zhang

    Published 2025-01-01
    “…As an innovative branch of electronics, intelligent electronic textiles (e-textiles) have broad prospects in applications such as e-skin, human–computer interaction, and smart homes. However, it is still a challenge to distinguish multiple stimuli in the same e-textile. …”
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    Article
  10. 210

    ETHICS BY DESIGN AND RECONSIDERATION OF THE SUBJECT-OBJECT IN THE DIGITAL ERA by Тетяна ПАВЛОВА, Роман ПАВЛОВ

    Published 2024-12-01
    “…Design / Method / Approach: The research is based on an interdisciplinary approach combining methods of philosophical analysis, ethics, sociology of technology and research in the field of human-computer interaction. The methods of conceptual modeling, ethical analysis of technologies and scenario forecasting are used. …”
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    Article
  11. 211

    Joint Investigation and 3D Visual Evaluation of Rock Mass Quality by Haiping Yuan, Chenghao Chen, Yixian Wang, Hanbing Bian, Yan Liu

    Published 2020-01-01
    “…The research results show the following: (1) The method of storing joint information by close-range photography and extracting joint information by human-computer interaction improves the working efficiency and the process is safe and controllable compared with the traditional method of collecting fracture parameters. (2) Based on the statistical analysis of 97 groups of roadway survey data, the comprehensive statistical regression formula between BQ value of Chinese national standard and RMR value is given, and there is a good correlation between BQ value and RMR value of rock mass quality index. (3) Based on the power-inverse ratio method, the three-dimensional model of rock mass classification of the mine was established, and the cutting model obtained the current distribution diagram of rock mass quality grade, providing scientific reference for drilling, blasting, support, and other production design optimizations.…”
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  12. 212

    Using Depth Cameras for Recognition and Segmentation of Hand Gestures by Khalid Twarish Alhamazani, Jalawi Alshudukhi, Talal Saad Alharbi, Saud Aljaloud, Zelalem Meraf

    Published 2021-01-01
    “…Hand gesture recognition enables human-computer interaction (HCI) system developers to create more immersive, natural, and intuitive experiences and interactions. …”
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    Article
  13. 213

    TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

    Published 2025-01-01
    “…Abstract Multimodal sentiment analysis (MSA) is crucial in human-computer interaction. Current methods use simple sub-models for feature extraction, neglecting multi-scale features and the complexity of emotions. …”
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    Article
  14. 214

    Until you have something to lose! Loss aversion and two-factor authentication adoption by Ahmad R. Pratama, Firman M. Firmansyah

    Published 2025-01-01
    “…Originality/value – Authentication is one of the most important topics in cybersecurity that is related to human-computer interaction. While 2FA increases the security level of authentication methods, it also requires extra efforts that can translate to some level of inconvenience on the user's end. …”
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  15. 215

    Parkgoers go to the virtual park: a classification framework, systematic review, and future tourism research agenda by Aniesa Samira Bafadhal, Faiz Izwan Anuar, Mohd Hafiz Hanafiah

    Published 2025-12-01
    “…Despite its potential, research on virtual parks remains nascent, necessitating further exploration to establish a robust field within tourism and leisure studies.Methods This study employed ATLAS.ti version 23 to conduct a Systematic Literature Review (SLR) focused on developing a Human-Computer Interaction (HCI) classification framework for virtual parks following the established guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020. …”
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  16. 216

    Protocol for a qualitative study to explore acceptability, barriers and facilitators of the implementation of new teleophthalmology technologies between community optometry practic... by Ann Blandford, Konstantinos Balaskas, Rima Hussain, Sarah Abdi, Angela Aristidou, Josie Carmichael, Giulia Cappellaro

    Published 2022-07-01
    “…Findings will be reported through academic journals and conferences in ophthalmology, health services research, management studies and human-computer interaction.…”
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    Article
  17. 217

    An Overview of Human Pose Estimation Based on Wireless Signals by Yan CHEN, Rui ZHANG, Yadong LI, Ruiyuan SONG, Ruixu GENG, Hanqin GONG, Binquan WANG, Dongheng ZHANG, Yang HU

    Published 2025-02-01
    “…Human pose estimation holds tremendous potential in fields such as human-computer interaction, motion capture, and virtual reality, making it a focus in human perception research. …”
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    Article
  18. 218

    Advances in the application of human-machine collaboration in healthcare: insights from China by Wuzhen Wang, Liangji Liu

    Published 2025-02-01
    “…We use the subject words “Human–machine collaboration” OR “Human-Computer Interaction” OR “HCI” AND “chronic disease” OR “Health management” OR ”Precision medicine “were searched for CNKI, Wanfang Data, VIP, CBM, PubMed, Web of science, Embase, Cochrane Library and other Chinese and English databases to identify all relevant studies and compare their results, and finally include 68 relevant literature articles, we identified the broad application of HCI in five main areas: disease screening and treatment, health management, medical education, traditional medicine, and the integration and processing of medical data. …”
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  19. 219

    Exploring Conditions for Designing Citizen Observatories in Sri Lanka: The Case of Air Quality in Rural Areas by Chaminda Rathnayake, Somya Joshi, Teresa Cerratto-Pargman

    Published 2025-01-01
    “…Our findings indicate that most often, the citizen science practices identified and discussed by the literature on COs and human-computer interaction are at odds with rural communities’ priorities and sensing praxis in countries such as Sri Lanka. …”
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    Article
  20. 220

    Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

    Published 2024-10-01
    “… Action recognition in videos is one of the essential, challenging and active area of research in the field of computer vision that adopted in various applications including automated surveillance systems, security systems and human computer interaction. In this paper, we present an in-depth comparative analysis of five CNN-RNN models based on pre-trained networks such as InceptionV3, VGG16, MobileNetV2, ResNet152V2 and InceptionResNetV2 with recurrent LSTM units for action recognition on Anomaly-5 dataset. …”
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    Article