Auswahl der wissenschaftlichen Literatur zum Thema „User-Centric AI“
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Zeitschriftenartikel zum Thema "User-Centric AI":
Pazzani, Michael, Severine Soltani, Robert Kaufman, Samson Qian und Albert Hsiao. „Expert-Informed, User-Centric Explanations for Machine Learning“. Proceedings of the AAAI Conference on Artificial Intelligence 36, Nr. 11 (28.06.2022): 12280–86. http://dx.doi.org/10.1609/aaai.v36i11.21491.
Saber Ismail, Dr Walaa. „Human-Centric AI : Enhancing User Experience through Natural Language Interfaces“. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, Nr. 1 (29.03.2024): 172–83. http://dx.doi.org/10.58346/jowua.2024.i1.012.
Ugochukwu Okwudili Matthew, Kafayat Motomori Bakare, Godwin Nse Ebong, Charles Chukwuebuka Ndukwu und Andrew Chinonso Nwanakwaugwu. „Generative Artificial Intelligence (AI) Educational Pedagogy Development: Conversational AI with User-Centric ChatGPT4“. December 2023 5, Nr. 4 (Dezember 2023): 401–18. http://dx.doi.org/10.36548/jtcsst.2023.4.003.
Zhang, Pengyi, Kathleen Gregory, Ayoung Yoon und Carole Palmer. „Conceptualizing Data Behavior: Bridging Data‐centric and User‐centric Approaches“. Proceedings of the Association for Information Science and Technology 60, Nr. 1 (Oktober 2023): 856–60. http://dx.doi.org/10.1002/pra2.878.
Hassan, Ali, Riza Sulaiman, Mansoor Abdullateef Abdulgabber und Hasan Kahtan. „TOWARDS USER-CENTRIC EXPLANATIONS FOR EXPLAINABLE MODELS: A REVIEW“. Journal of Information System and Technology Management 6, Nr. 22 (01.09.2021): 36–50. http://dx.doi.org/10.35631/jistm.622004.
Bernardo, Ezekiel, und Rosemary Seva. „Affective Design Analysis of Explainable Artificial Intelligence (XAI): A User-Centric Perspective“. Informatics 10, Nr. 1 (16.03.2023): 32. http://dx.doi.org/10.3390/informatics10010032.
Mardania, Agnes Dini. „The Rise of AI in Business: Uncharted Avenues for Digital Transformation“. Equator Journal of Management and Entrepreneurship (EJME) 12, Nr. 1 (29.01.2024): 25. http://dx.doi.org/10.26418/ejme.v12i1.75794.
Wang, Yu. „Impact of Social Emotional Intelligence on Students' Interpersonal Relationships and Academic Development“. Journal of Education and Educational Research 5, Nr. 2 (01.09.2023): 122–26. http://dx.doi.org/10.54097/jeer.v5i2.12552.
Pawar, Dr Suvarna. „Advancing Interview Preparation: An AI-driven Approach“. INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, Nr. 02 (16.02.2024): 1–13. http://dx.doi.org/10.55041/ijsrem28705.
Tan, Seng-Keong, Siew-Chin Chong, Kuok-Kwee Wee und Lee-Ying Chong. „Personalized Healthcare: A Comprehensive Approach for Symptom Diagnosis and Hospital Recommendations Using AI and Location Services“. Journal of Informatics and Web Engineering 3, Nr. 1 (14.02.2024): 117–35. http://dx.doi.org/10.33093/jiwe.2024.3.1.8.
Buchteile zum Thema "User-Centric AI":
Eckhardt, Regina, und Sikha Bagui. „A User-centric Focus for Detecting Phishing Emails“. In AI, Machine Learning and Deep Learning, 313–33. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003187158-23.
Cirqueira, Douglas, Dietmar Nedbal, Markus Helfert und Marija Bezbradica. „Scenario-Based Requirements Elicitation for User-Centric Explainable AI“. In Lecture Notes in Computer Science, 321–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57321-8_18.
Hu, Qihan, Zhenghui Xu, Peng Du, Hao Zeng, Tongqing Ma, Youbing Zhao, Hao Xie et al. „CanFuUI: A Canvas-Centric Web User Interface for Iterative Image Generation with Diffusion Models and ControlNet“. In AI-generated Content, 128–38. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7587-7_11.
Cirqueira, Douglas, Markus Helfert und Marija Bezbradica. „Towards Design Principles for User-Centric Explainable AI in Fraud Detection“. In Artificial Intelligence in HCI, 21–40. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77772-2_2.
Covelo de Abreu, Joana. „The “Artificial Intelligence Act” Proposal on European e-Justice Domains Through the Lens of User-Focused, User-Friendly and Effective Judicial Protection Principles“. In Multidisciplinary Perspectives on Artificial Intelligence and the Law, 397–414. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-41264-6_21.
Rai, Rahul K., Reshu Bansal, Shashi Shekhar Jha und Rahul Narava. „Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism“. In AI Technologies and Virtual Reality, 179–91. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9018-4_13.
Theis, Sabine, Sophie Jentzsch, Fotini Deligiannaki, Charles Berro, Arne Peter Raulf und Carmen Bruder. „Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work“. In Artificial Intelligence in HCI, 355–80. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35891-3_22.
Saxena, Aakansha C., Adhishree Ojha, Daksh Sobti und Alex Khang. „Artificial Intelligence (AI)-Centric Model in the Metaverse Ecosystem“. In Advances in Computational Intelligence and Robotics, 1–24. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8851-5.ch001.
Sundaramoorthy, K., Ajeet Singh, G. Sumathy, A. Maheshwari, A. R. Arunarani und Sampath Boopathi. „A Study on AI and Blockchain-Powered Smart Parking Models for Urban Mobility“. In Handbook of Research on AI and ML for Intelligent Machines and Systems, 223–50. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-9999-3.ch010.
Manolova, Monika. „Ethical Risks in the Cross Section of Extended Reality (XR), Geographic Information Systems (GIS), and Artificial Intelligence (AI)“. In Applied Ethics in a Digital World, 199–215. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8467-5.ch014.
Konferenzberichte zum Thema "User-Centric AI":
Wang, Danding, Qian Yang, Ashraf Abdul und Brian Y. Lim. „Designing Theory-Driven User-Centric Explainable AI“. In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300831.
Li, Chen, Wang Hua, Ai Ming und Sun Shaohui. „AI-native User-Centric Network for 6G“. In 2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 2022. http://dx.doi.org/10.1109/icccworkshops55477.2022.9896699.
Kumar, Rajesh, Csaki Gabor und Michael Schmidts. „User centric AI-based similar defect recommendation system“. In 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon). IEEE, 2023. http://dx.doi.org/10.1109/smarttechcon57526.2023.10391348.
Zhang, Zhaonian, und Richard Jiang. „User-Centric Democratization towards Social Value Aligned Medical AI Services“. In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/702.
Bader, Elias, Dominik Vereno und Christian Neureiter. „Facilitating User-Centric Model-Based Systems Engineering Using Generative AI“. In Workshop on Model-based System Engineering and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012623200003645.
Parikh, Rahil, Himanshu Nimonkar, Riddhi Gandhi, Tarash Budhrani, Ashwini Dalvi und Irfan Siddavatam. „Streamlining Educational Assessment: A User-Centric Analysis of an AI-Powered Examination App“. In 2023 6th International Conference on Advances in Science and Technology (ICAST). IEEE, 2023. http://dx.doi.org/10.1109/icast59062.2023.10454906.
Ahmad, Atif, und Preetii Raman. „AUTOMATED ANALYSIS AND GRADING OF PRIVACY POLICIES: AI-DRIVEN APPROACH FOR USER-CENTRIC DASHBOARD“. In 18th International Technology, Education and Development Conference. IATED, 2024. http://dx.doi.org/10.21125/inted.2024.0715.
Zhang, Yueze, Zheng Zeng, Tianrui Wang, Zekai Chen und Ping Chen. „Reimagining Public Utilities through AI-Driven User-Centric Multimodal Interaction: A Case Study on the Lighthouse System“. In CHCHI 2023: Chinese CHI 2023. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3629606.3629616.
Brillowski, Florian, Luisa Vervier, Thomas Schemmer, Philipp Brauner, Martina Ziefle und Thomas Gries. „User Centered Design and Evaluation of an Artificial Intelligence based Process Recommender System in Textile Engineering“. In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001709.
Wei, Yishen, und Kian Azadi. „Fostering Inclusivity and Body Positivity: An AI-Driven Fashion Recommendation System for Mitigating Body Dysmorphic Disorder Effects“. In 12th International Conference on Software Engineering and Applications. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131704.