Comparison of human computer interaction on Windows and Linux operations systems by Viduka Dejan, Kraguljac Vladimir M.

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Identifying the Aesthetic Criteria of Academic Library Websites Using a Delphi Panel by Maryam Tavosi, Nader Naghshineh, Mohammad Zerehsaz, Siamak Mahboub

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Multimodal Emotion Recognition: Emotion Classification Through the Integration of EEG and Facial Expressions by Songul Erdem Guler, Fatma Patlar Akbulut

Subjects: “…Human computer interaction…”
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A Novel Computational Framework for Visual Snow Syndrome by Damiano Perri, Osvaldo Gervasi

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Social media warfare: investigating human-bot engagement in English, Japanese and German during the Russo-Ukrainian war on Twitter and Reddit by Wentao Xu, Kazutoshi Sasahara, Jianxun Chu, Bin Wang, Wenlu Fan, Zhiwen Hu

Subjects: “…Human-computer interaction…”
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Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

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Editors’ Note by Alberto Raposo, Cleber Corrêa

“…Throughout these years, JIS moved from a virtual and augmented reality publication to a more multidisciplinary scope, including related areas such as games and human-computer interaction. This current issue, particularly, is a very good example of this multidisciplinary characteristic of JIS. …”
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A conceptual framework for designing human-centered building-occupant interactions to enhance user experience in specific-purpose buildings by N. Roofigari-Esfahan, E. Morshedzadeh

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

“…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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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

“…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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Pengaruh Ciri Temporal, Spasial, dan Frekuensi pada Klasifikasi Motor Imagery by Afin Muhammad Nurtsani, Muhammad Adib Syamlan, Agung Wahyu Setiawan

“…Selain itu, pengklasifikasi RF memberikan kinerja yang paling baik dibandingkan dengan SVM; k-NN; serta NB.    Abstract  Human-computer interaction is a necessity and will be deployed in the near future, especially in rehabilitation engineering. …”
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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Emotion recognition plays an essential role in human-computer interaction, spanning diverse domains from human-robot communication and virtual reality to mental health assessment and affective computing. …”
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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…Abstract Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. The accuracy of these systems is of utmost concern and depends on effective feature selection, which directly impacts their ability to accurately detect facial expressions across various poses. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…Recognizing these facial expressions accurately is essential for a variety of applications — such as tools that use our faces to interact with computers (human-computer interaction, or HCI), security systems and emotionally intelligent artificial intelligence technologies. …”
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Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Abstract Facial expression recognition is a significant challenge in image processing and human-computer interaction due to its inherent complexity and variability. …”
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