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Titlebook: Artificial Intelligence in HCI; 3rd International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2022 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 17:34:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence in HCI
期刊簡(jiǎn)稱(chēng)3rd International Co
影響因子2023Helmut Degen,Stavroula Ntoa
視頻videohttp://file.papertrans.cn/163/162462/162462.mp4
學(xué)科分類(lèi)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Artificial Intelligence in HCI; 3rd International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2022 The Editor(s) (if applicable)
影響因子This book constitutes the refereed proceedings of the Third International Conference on Artificial Intelligence in HCI, AI-HCI 2022, which was held as part of HCI International 2022 and took place virtually during June 26 – July 1, 2022.. A total of 1271 papers and 275 posters included in the 39 HCII 2022 proceedings volumes. AI-HCI 2022 includes a total of 39 papers; they are grouped thematically as follows: Human-Centered AI; Explainable and Trustworthy AI; UX Design and Evaluation of AI-Enabled Systems; AI Applications in HCI.
Pindex Conference proceedings 2022
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ExMo: ,plainable AI ,del Using Inverse Frequency Decision Rules a qualitatively better model than BRL. Furthermore, ExMo demonstrates that the textual explanation can be provided in a human-friendly way so that the explanation can be easily understood by non-expert users. We validate ExMo on several datasets with different sizes to evaluate its efficacy. Experi
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A Model of?Adaptive Gamification in?Collaborative Location-Based Collecting Systemsnsidering the space-time behavior and challenge completion, a model for the different types of challenges applicable in CLCS, a model for the CLCS objectives and coverage, and a strategy for the application of Machine Learning techniques for adaptation.
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Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaceslity of CNN (a modified GoogLeNet architecture) and ANN models to predict visual perception per Aesthetics, Complexity, and Orderliness scales for about 2700 web UIs assessed by 137 users. Our results suggest that the ANN architecture produces smaller Mean Squared Error (MSE) for the training datase
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