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Nonrefereed or General Publications

[G1]
Uğur Güdükbay, "Düzensiz Nesnelerin Deformasyon Teknikleri Kullanılarak Modellenmesi" (in Turkish), CAD$+$: Bilgisayar Destekli Tasarim ve Ötesi, No. 3, pp. 59-60, May 1993.

[G2]
Uğur Güdükbay, "Fiziğe Dayalı Animasyon" (in Turkish), Popüler Bilim, No. 46, Year 4, pp. 11-15, September 1997.

[G3]
Uğur Güdükbay, Fatih Erol, Nezih Erdoğan, "Gölge Oyunu için Bilgisayar Animasyonu" (in Turkish), Popüler Bilim, No. 92, Year 8, pp. 18-20, July 001.

[G4]
Aziz Gülbeden, Fehmi Kaya, Uğur Güdükbay, "L-Sistemler Kullanarak Bilgisayarda Bitki Sentezleme" (in Turkish), Popüler Bilim, No. 94, Year 8, pp. 42-46, September 2001.

[G5]
Alper Selçuk, Uğur Güdükbay, Bülent Özgüç, "Walkthrough in Complex Environments at Interactive Rates using Level-of-Detail", Elektrik - Turkish Journal of Electrical Engineering and Computer Sciences, Vol. 10, No. 1, pp. 57-72, 2002.

  1. (ETC) Kim Toivonen, "Optimizing WebGL Application Performance by Identifying and Tackling Bottleneck", Master's Thesis, Master's Programme in Computer Science, Faculty of Science, University of Helsinki, DEcember 2022.

  2. (ISI) Lijie Li, Fengxia Li, Tianyu Huang, "A Time-Controlling Terrain Rendering Algorithm", in VSMM 2006: Interactive Technologies and Sociotechnical Systems, International Conference on Virtual Systems and Multimedia, H. Zha Z. Pan, H. Thwaites, A.C. Addison, M. Forte (eds), Lecture Notes in Computer Science, Vol. 4270, pp. 328-337, Springer, Berlin, Heidelberg.

[G6]
Uğur Güdükbay, "View Dependent Refinement of Polygonal Meshes", View Dependent Refinement of Polygonal Meshes, 2002.

  1. (ISI) (Self-citation) Uğur Güdükbay, Okan Arikan, and Bülent Özgüç, "Visualizer: A Mesh Visualization System using View-dependent Refinement", Computers & Graphics, Vol. 26, No. 3, pp. 491-503, 2002.

[G7]
Uğur Güdükbay, Tolga Abacı, "Karagöz: A Hierarchical Modeling and Animation System for Turkish Shadow Theater", Fine Art Forum, Vol. 16, Issue 1, January 2002 [Electronic Journal: Discontinued]. Available at E-zine.

[G8]
Atılım Çetin, Uğur Güdükbay, "3 Boyutlu Bilgisayar Grafikleri" (in Turkish), Türkiye Bilişim Ansiklopedisi, Sayfa 211-220, Edited by: T. Ören, T. Öney, and R. Çölkesen, Papatya Yayincilik, 2006.

[G9]
Uğur Güdükbay, Atılım Çetin, "Canlandırma" (in Turkish), Türkiye Bilişim Ansiklopedisi, Sayfa 287-290, Edited by: T. Ören, T. Öney, and R. Çölkesen, Papatya Yayincilik, 2006.

  1. (ETC) Mustafa Hikmet Aydıngüler, "Canlandırmanın Uzaktan Eğitim Sürecine Katkısının Deneysel Yöntemlerle İncelenmesi (The Analysis of the Contribution of Animation onto the Distance Education Process with the Empirical Method)", (in Turkish), Master's Thesis, Department of Communication Design, İstanbul Kültür University, March 2013.

[G10]
Uğur Güdükbay, Ali Kemal Sinop, "Hesaplamaya Dayalı Geometri" (in Turkish), Türkiye Bilişim Ansiklopedisi, Sayfa 445-448, Edited by: T. Ören, T. Öney, and R. Çölkesen, Papatya Yayincilik, 2006.

  1. (ETC) Kadriye Yaman, "A New Solution Approach to Airspace Sectorization Problem (Hava Sahası Sektörizasyonu Problemine Yeni bir Çözüm Yaklaşımı (in Turkish)", Ph.D. Dissertation, Anadolu University, Graduate School of Sciences, Civil Aviation Program, 2010.

  2. (ETC) Mustafa Acar, "Heyelanların İzlenmesinde Esnek Hesaplama Yöntemleri (Flexible Calculation Methods for Monitoring Landslides)", (in Turkish), Ph.D. Dissertation, Department of Geodesy and Photogrammetry Engineering, İstanbul Technical University, February 2009.

  3. (ETC) Mustafa Aksin, Emrullah Demiral, İsmail Rakıp Karaş, "Delaunay Triangulation and Its Applications", in Proceedings of the International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES '18), Safranbolu, Turkey, 11-13 May 2018, pp. 830-832.

[G11]
Uğur Güdükbay, Contribution to "The History of Computer Graphics and Digital Art Project", [Available at The History of Computer Graphics and Digital Art Project], ACM SIGGRAPH Educations Committee, 2007.

[G12]
Uğur Güdükbay, Fatih Erol, Nezih Erdoğan, "Karagöz: Gölge Oyunu için Bilgisayar Animasyonu Yazılımı (Karagöz: An Animation System for Turkish Shadow Theater)" (in Turkish), Somut Olmayan Kültürel Miras: Yasayan Karagöz Sempozyumu Bildiriler Kitabı (Proceedings of International Symposium on Intangible Cultural Heritage: Living Karagöz), pp. 59-64, Gazi Üniversitesi, Ankara, April 2006.

[G13]
Onur Küçüktunç, Muhammet Baştan, Uğur Güdükbay, Özgür Ulusoy, "Bilkent University Multimedia Database Research Group at TRECVID 2008", TREC Video Retrieval Evaluation Online Proceedings, Notebook Paper, 2008.

  1. (ETC) Wan-Lei Zhao, "Algorithms and Techniques for Large-Scale Near-Duplicate Video Mining", Ph.D. Dissertation, Department of Computer Science, City University of Hong Kong, September 2010.

  2. (ISI) (Self-citation) Onur Küçüktunç, Uğur Güdükbay, Özgür Ulusoy, "Fuzzy Color Histogram-based Video Segmentation", Computer Vision and Image Understanding, Vol. 114, No. 1, pp. 125-134, January 2010.

  3. (ETC) Adrien Brilhault, Catherine Garbay, Georges Quenot, "Indexation et Recherche par le Contenu de Documents Videos", Technical Report, Universite Joseph Fourier, Informatique et Mathematiques Appliquees (UFRIMAG), Grenoble, France, June 2009.

[G14]
Süleyman Aslan, Uğur Güdükbay, B. Uğur Töreyin, A. Enis Çetin, "Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video", arXiv: 1902.01824 [cs.CV], Available at arXiv: 1902.01824 [cs.CV], 5 February 2019.

  1. (ISI*) Ayoub Ouarka, Tarek Ait Baha, Youssef Es-Saady, Mohamed El Hajji, "A Deep Multimodal Fusion Method for Personality Traits Prediction", Multimedia Tools and Applications, In press.

  2. (ETC) Sumash Chandra Bandaru, G. Bharathi Mohan, R. Prasanna Kumar, Ali Altalbe, "SwinGALE: Fusion of Swin Transformer and Attention Mechanism for GAN-augmented Liver Tumor Classifcation with Enhanced Deep Learning", International Journal of Information Technology, In press.

  3. (ISI) Wai Cheong Tam, Eugene Yujun Fu, Richard Peacock, Paul Reneke, Jun Wang, Jiajia Li, Thomas Cleary, "Generating Synthetic Sensor Data to Facilitate Machine Learning Paradigm for Prediction of Building Fire Hazard", Fire Technology, Vol. 59, No. 6, pp. 3027-3048, November 2023.

  4. (ISI) Dongmei Wang, Ying Qian, Jingyi Lu, Peng Wang, Dandi Yang, Tianhong Yan, "Ea-yolo: Efficient Extraction and Aggregation Mechanism of YOLO for Fire Detection", Multimedia Systems, Vol. 30, Article No. 287, 19 pages, September 2024.

  5. (ETC) Chengyu Lu, Jie Yang, Hui Zhou, "Research on Lightweight Detection Model of Spontaneous Combustion of Electric Vehicles", in Proceedings of SPIE - The International Society for Optical Engineering, Vol. 12799, Article No. 1279955, (3rd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2023), Kuala Lumpur, 30 June-2 July 2023.

  6. (ISI) Konstantina Mardani, Nicholas Vretos, Petros Daras, "Transformer-Based Fire Detection in Videos", Sensors, Vol. 23, No. 6, Article No. 3035, March 2023.

  7. (ETC) Huihui Wang, Yazhong Bai, Heng Li, "YOLOv5S-Fire: A Lightweight Model for Flame Detection", Proceedings of the 6th International Conference on Image and Graphics Processing, ICIGP 2023, ACM International Conference Proceeding Series, pp. 51-57, Chongqing, 6-8 January 2023.

  8. (ETC) Uttam Kumar Dwivedi, Chayut Wiwatcharakoses, Yoshihide Sekimoto, "Realtime Safety Analysis System using Deep Learning for Fire Related Activities in Construction Sites", in Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), pp. 1-6, Maldives, 16-18 November 2022.

  9. (ISI) Roshni Khedgaonkar, Kavita Singh, Sunny Mate, "Novel Approach to Create Human Faces with DCGAN for Face Recognition", International Journal of Next-Generation Computing, Vol. 13, No. 5, pp. 1006-1013, November 2022.

  10. (ETC) Yongquan Li, Leilei Rong, Runqing Li, Yan Xu, "Fire Object Detection Algorithm Based on Improved YOLOv3-tiny", in Proceedings of the 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA '22), pp. 264-269, Chengdu, China, 22-24 April 2022.

  11. (ISI) Zengfa Dou, Xiaoke Ma, Xianghua Xie, Hui Liu, Chubing Guo, "A Hybrid Method of Detecting Flame from Video Stream", IET Image Processing, Vol. 16, No. 11, pp. 2937-2946, 18 September 2022.

  12. (ISI) Yakun Xie, Jun Zhu, Yukun Guo, Jigang You, Dejun Feng, Yungang Cao, "Early Indoor Occluded Fire Detection Based on Firelight Reflection Characteristics", Fire Safety Journal, Vol. 128, Article No. 103542, 12 pages, March 2022.

  13. (ISI) Tiantai Deng, Danny Crookes, Roger Woods, Fahad Siddiqui, "A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAs", Journal of Imaging, Vol. 8, No. 2, Article no. 42, 16 pages, 11 February 2022.

  14. (ISI) Kyungmin Song, Han-Soo Choi, Myungjoo Kang, "Squeezed Fire Binary Segmentation Model Using Convolutional Neural Network for Outdoor Images on Embedded Device", Machine Vision and Applications, Vol. 32, Article No. 120, 12 pages, 27 September 2021.

  15. (ETC) Hao Zhang, Zhiqiang Wang, Man Chen, Yumin Peng, Yanming Gao, Junhuang Zhou, "An Improved YOLOv3 Algorithm Combined with Attention Mechanism for Flame and Smoke Detection", in Artificial Intelligence and Security. ICAIS 2021, X. Sun, X. Zhang, Z. Xia, E. Bertino (eds.), Lecture Notes in Computer Science, Vol. 12736, pp. 226-238, Springer, Cham. July 2021.

  16. (ETC) Tanmay T. Verlekar, Alexandre Bernardino, "Video Based Fire Detection Using Xception and Conv-LSTM", in Advances in Visual Computing, ISVC 2020, G. Bebis et al. (eds), Lecture Notes in Computer Science, Vol. 12510, pp. 277-285, Springer, Cham, 7 December 2020.

  17. (ISI) Hongyi Pan, Diaa Badawi, Ahmet Enis Cetin, "Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis", Sensors, Vol. 20, No. 10, Article No. 2891, 19 pages, 20 May 2020.

  18. (ISI) Anshul Gaur, Abhishek Singh, Anuj Kumar, Ashok Kuma, Kamal Kapoor, "Video Flame and Smoke Based Fire Detection Algorithms: A Literature Review", Fire Technology, Vol. 56, No. 5, pp. 1943-1980, September 2020.

  19. (ISI) Asimananda Khandual, Tarun Grover, Yan Luximon, Nibedita Rout, Rajkishore Nayak, "Instrumentation and Objective Evaluation of Flammability of Textiles by Video Image Processing", The Journal of The Textile Institute, Vol. 111, No. 8, pp. 1176-1183, 23 December 2019.

  20. (ETC) Wai Cheong Tam, Thomas Cleary, Eugene Yujun Fu, "Generating Synthetic Sensor Data to Facilitate Machine Learning Paradigm for Prediction of Building Fire Hazard", in Proceedings of the Suppression, Detection and Signaling Research and Applications Symposium (SUPDET 2019), Denver, CO, 16-20 September 2019.

[G15]
Süleyman Aslan, Uğur Güdükbay, "Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks", arXiv: 1911.00381 [cs.CV], Available at arXiv: 1911.00381 [cs.CV], 1 November 2019.

  1. (ISI) Rongfan Liao, Siyang Song, Hatice Gunes, "An Open-Source Benchmark of Deep Learning Models for Audio-Visual Apparent and Self-Reported Personality Recognition", IEEE Transactions on Affective Computing, Vol. 15, No. 3, pp. 1590-1607, July-September 2024.

  2. (ETC) G. R. Karpagam, Harsha Vardhan V M, Kabilan K K, Pranav P, Prednya Ramesh, Suvan Sathyendira B, "Multimodal Fusion for Precision Personality Trait Analysis: A Comprehensive Model Integrating Video, Audio, and Text Inputs", in Proceedings of the International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), pp. 327-332, Coimbatore, India, 28-29 June 2024.

  3. (ISI) Bashar Alshouha, Jesus Serrano-Guerrero, Francisco Chiclana, Francisco P. Romero, Jose A. Olivas, "Personality Trait Detection via Transfer Learning", Computers, Materials, and Continua, Vol. 78, No. 2, pp. 1933-1956, 27 February 2024.

  4. (ISI) W.M.K.S. Ilmini, T.G.I. Fernando, "Detection and Explanation of Apparent Personality Using Deep Learning: A Short Review of Current Approaches and Future Directions", Computing, Vol. 106, No. 1, pp. 275-294, January 2024.

  5. (ISI) Tanay Agrawal, Michal Balazia, Philipp Müller, François Brémond, "Multimodal Vision Transformers with Forced Attention for Behavior Analysis", in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 3381-3391, Waikoloa, HI, USA, 2-7 January 2023.

  6. (ISI) Kenan Kassab, Alexey Kashevnik, Alexander Mayatin, Dmitry Zubok, "VPTD: Human Face Video Dataset for Personality Traits Detection", Data, Vol. 8, Article no. 113, 12 pages, 22 June 2023.

  7. (ETC) Ramón Zatarain Cabada, Hóctor Manuel Cardenas López, Hugo Jair Escalante, "Personality Recognition Models", in Multimodal Affective Computing: Technologies and Applications in Learning Environments, pp. 167-171, Springer, Cham, 26 June 2023.

  8. (ETC) Kenan Kassab, Alexey Kashevnik, Eduard Glekler, Alexander Mayatin, "Human Sales Ability Estimation Based on Interview Video Analysis", in Proceedings of the 33rd Conference of Open Innovations Association (FRUCT), pp. 132-138, Zilina, Slovakia, 24-26 May 2023.

  9. (ISI) Sumiya Mushtaq, Neerendra Kumar, Yashwant Singh, Pradeep Kumar Singh, "Vision and Audio-based Methods for First Impression Recognition Using Machine Learning Algorithms: A Review", International Journal on Artificial Intelligence Tools, Vol. 32, No. 2, Article no. 2340010, 48 pages, April 2023.

  10. (ISI) Saman Riaz, Ali Arshad, Shahab S. Band, Amir Mosavi, "Deep Bimodal Fusion Approach for Apparent Personality Analysis, CMC-Computers, Materials & Continua, Vol. 75, No. 1, pp. 2301-2312, 06 February 2023.

  11. (ETC) Faezeh Safari, Abdolah Chalechale, "Classification of Personality Traits on Facebook Using Key Phrase Extraction, Language Models and Machine Learning", in Proceedings of the 13th International Conference on Information and Knowledge Technology (IKT), Karaj, Iran, 20-22 December 2022.

  12. (ISI) Darlin Apasrawirote, Kritcha Yawised, Maneerut Chatrangsan, Paisarn Muneesawang, "Short-form Video Content (SVC) Engagement and Marketing Capabilities", Asian Journal of Business and Accounting, Vol. 15, No. 2, pp. 221-246, 31 December 2022.

  13. (ISI) Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Naghadeh, "Text-based Automatic Personality Prediction: A Bibliographic Review", Journal of Computational Social Science, Vol. 5, No. 2, pp. 1555-1593, November 2022.

  14. (ETC) W.M.K.S. Ilmini, T.G.I. Fernando, "Performance Analysis of State-of-the-Art Deep Learning Models in the Visual-Based Apparent Personality Detection", Current Scientia, Vol. 25, No. 02, pp. 33-50, 2022.

  15. (ETC) Cdr Devraj Patel, Sunita V. Dhavale, "Intelligent System for Bi-Modal Recognition of Apparent Personality Traits (iSMART), in International Conference on Innovative Computing and Communications, Lecture Notes in Networks and Systems, D. Gupta, A. Khanna, S. Bhattacharyya, A.E. Hassanien, S. Anand, A. Jaiswal (eds), Vol. 473, pp. 781-794, Springer, Singapore, 2023.

  16. (ETC) Kritcha Yawised, Darlin Apasarawirote, Maneerut Chatrangsan, Paisarn Muneesawang, "Using Short-form Video Content (SVCs) in Digital Marketing: Mobile Application Engagement Model", in Proceedings of the Würzburg International Business Forum: 5th International Business Conference, pp. 77-84, Bangkok, Thailand, 1-2 September 2022.

  17. (ISI) Tanay Agrawal, Dhruv Agarwal, Michal Balazia, Neelabh Sinha, Francois Bremond, "Multimodal Personality Recognition using Cross-attention Transformer and Behaviour Encoding", in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 17th International Conference on Computer Vision Theory and Applications (VISAPP), Vol. 5, pp. 501-508, 22 April 2022.

  18. (ISI) Kamal El-Demerdash, Reda A. El-Khoribi, Mahmoud A. Ismail Shoman, Sherif Abdou, "Deep Learning Based Fusion Strategies for Personality Prediction", Egyptian Informatics Journal, Vol. 23, No. 1, pp. 47-53, March 2022.

  19. (ISI) Liang Yang, Shuqun Li, Xi Luo, Bo Xu, Yuanling Geng, Zeyuan Zeng, Fan Zhang, Hongfei Lin, "Computational Personality: A Survey", Soft Computing, Vol. 26, pp. 9587-9605, September 2022.

  20. (ISI) Ziqing Li, Zhenyuan Yang, Jiawen Zhang, Lianggangxu Chen, Gaoqi He, "Video-based Multimodal Personality Analysis", in Proceedings of SPIE, Vol. 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), Article No. 1208324, 13 pages, Kunming, China, 16 February 2022.

  21. (ISI) Mani Kumar Tellamekala, Timo Giesbrecht, Michel Valstar, "Apparent Personality Recognition from Uncertainty-Aware Facial Emotion Predictions using Conditional Latent Variable Models", in Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), Jodhpur, India, 15-18 December 2021.

  22. (ISI) Sreevidya P, S. Veni, V. Ramana Murthy Oruganti, "The Role of Face Embeddings in Classification of Personality Traits from Portrait Images", in Proceedings of the IEEE Region 10 Conference (TENCON), pp. 845-850, Auckland, New Zealand, 7-10 December 2021.

  23. (ETC) Bin Xu, Qiaoqiao Zhang, Kening Gao, Ge Yu, Zhaowu Zhang, Yidi Du, "Recognition Of Learners' Personality Traits for Software Engineering Education", in Proceedings of the ACM Turing Award Celebration Conference (ACM TURC 2021), Hefei, China, 30 July-1 August 2021.

[G16]
Aytek Aman, Serkan Demirci, Uğur Güdükbay, "Compact Tetrahedralization-based Acceleration Structure for Ray Tracing", arXiv: arXiv:2103.02309 [cs.GR], Available at arXiv:2103.02309 [cs.GR], 3 March 2021.

  1. (ISI) (Self-citation) Alper Sahistan, Serkan Demirci, Nathan Morrical, Stefan Zellmann, Aytek Aman, Ingo Wald, Uğur Güdükbay, "Ray-traced Shell Traversal of Tetrahedral Meshes for Direct Volume Visualization", in Proceedings of IEEE VIS: Visualization & Visual Analytics (VIS 2021) Virtual Conference (Short Papers), pp. 91-95, IEEE Computer Society, Washington, D.C., USA, October 2021.

[G17]
Alper Sahistan, Serkan Demirci, Ingo Wald, Stefan Zellmann, João Barbosa, Nathan Morrical, Uğur Güdükbay, "GPU-based Data-parallel Rendering of Large, Unstructured, and Non-convexly Partitioned Data", arXiv:2209.14537 [cs.GR], Available at arXiv:2209.14537 [cs.GR], 29 September 2022.

  1. (ISI) Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka, "MFA-DVR: Direct Volume Rendering of MFA Models", Journal of Visualization, Vol. 27, No. 1, pp. 109-126, February 2024.

  2. (ISI) (Self-citation) Jonathan Sarton, Stefan Zellmann, Serkan Demirci, Uğur Güdükbay, Welcome Alexandre-Barff, Laurent Lucas, Jean-Michel Dischler, Stefan Wesner, Ingo Wald, "State-of-the-art in Large-Scale Volume Visualization Beyond Structured Data", Computer Graphics Forum, Vol. 42, No. 3 pp. 491-515, June 2023. The Eurographics Association and John Wiley & Sons Ltd., 2023.

  3. (ISI) Stefan Zellmann, Qi Wu, Kwan-Liu Ma, Ingo Wald, "Memory-Efficient GPU Volume Path Tracing of AMR Data Using the Dual Mesh", Computer Graphics Forum, Vol. 42, No. 3, pp. 51-62, Special Issue on Proceedings of Eurographics Conference on Visualization (EuroVis '23), Leipzig, Germany, 12-16 June 2023.

[G18]
Said Fahri Altindis, Adil Meric, Yusuf Dalva, Uğur Güdükbay, Aysegul Dundar, "Refining 3D Human Texture Estimation from a Single Image", arXiv:2303.03471 [cs.CV], Available at arXiv:2303.03471v1 [cs.CV], 6 March 2023.

  1. (ISI) Shuo Yang, Xiaoling Gu, Zhenzhong Kuang, Feiwei Qin, Zizhao Wu, "Innovative AI Techniques for Photorealistic 3D Clothed Human Reconstruction from Monocular Images or Videos: A Survey", The Visual Computer, In press.

[G19]
Sinan Sonlu, Bennie Bendiksen, Funda Durupinar, Uğur Güdükbay, "The Effects of Embodiment and Personality Expression on Learning in LLM-based Educational Agents", arxiv:2407.10993 [cs.CL], Available at arxiv:2407.10993 [cs.CL], 24 June 2024.

  1. (ETC) Meng Ting Shih, Ming Yun Hsu, Sheng Cian Lee, "Empathy-GPT: Leveraging Large Language Models to Enhance Emotional Empathy and User Engagement in Embodied Conversational Agents", in Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (UIST Adjunct '24), Article No. 7, 3 pages, 13-16 October 2024.

  2. (ETC) Mengxu Pan, Alexandra Kitson, Hongyu Wan, Mirjana Prpa, "ELLMA-T: an Embodied LLM-agent for Supporting English Language Learning in Social VR", arXiv:2410.02406 [cs.HC], Available at arXiv:2410.02406 [cs.HC], 03 October 2024.

  3. (ETC) Shao Zhang, Xihuai Wang, Wenhao Zhang, Yongshan Chen, Landi Gao, Dakuo Wang, Weinan Zhang, Xinbing Wang, Ying Wen, "Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task", arXiv:2409.08811 [cs.HC], Available at arXiv:2409.08811 [cs.HC], 13 September 2024.

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Next: About this document ... Up: LIST OF CITATIONS Previous: Conference Papers
Uğur Güdükbay 2024-11-02