標(biāo)題: Titlebook: Artificial Intelligence for Human Computer Interaction: A Modern Approach; Yang Li,Otmar Hilliges Book 2021 The Editor(s) (if applicable) [打印本頁] 作者: 遮蔽 時(shí)間: 2025-3-21 17:33
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書目名稱Artificial Intelligence for Human Computer Interaction: A Modern Approach讀者反饋
書目名稱Artificial Intelligence for Human Computer Interaction: A Modern Approach讀者反饋學(xué)科排名
作者: CESS 時(shí)間: 2025-3-21 23:25 作者: omnibus 時(shí)間: 2025-3-22 03:13
Optimal Control to Support High-Level User Goals in Human-Computer Interactionhow that optimal control can better support users’ high-level goals in human-computer tasks than common approaches. Optimal control models human-computer interaction as a sequential decision problem which represents its nature and, hence, results in better predictability of user behavior than for ot作者: 先行 時(shí)間: 2025-3-22 08:29 作者: travail 時(shí)間: 2025-3-22 08:46 作者: Anticoagulants 時(shí)間: 2025-3-22 13:34
Generative Ink: Data-Driven Computational Models for Digital Inkd propose a novel approach for modeling stroke-based data efficiently. . promises novel functionalities, leading to compelling applications to enhance the inking experience for users in an interactive and collaborative manner.作者: rheumatism 時(shí)間: 2025-3-22 18:32
Book 2021: A Modern Approach.?concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation..作者: RALES 時(shí)間: 2025-3-22 21:23 作者: 使顯得不重要 時(shí)間: 2025-3-23 04:01
Epilogue: The Importance of Enchantment,how that optimal control can better support users’ high-level goals in human-computer tasks than common approaches. Optimal control models human-computer interaction as a sequential decision problem which represents its nature and, hence, results in better predictability of user behavior than for ot作者: 孤獨(dú)無助 時(shí)間: 2025-3-23 07:08 作者: 內(nèi)向者 時(shí)間: 2025-3-23 13:33 作者: 慢慢啃 時(shí)間: 2025-3-23 17:43
https://doi.org/10.1007/978-3-319-64973-3d propose a novel approach for modeling stroke-based data efficiently. . promises novel functionalities, leading to compelling applications to enhance the inking experience for users in an interactive and collaborative manner.作者: 難管 時(shí)間: 2025-3-23 18:32
Artificial Intelligence for Human Computer Interaction: A Modern Approach作者: OVERT 時(shí)間: 2025-3-24 00:55
Book 2021es, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously ch作者: aneurysm 時(shí)間: 2025-3-24 05:02 作者: 很是迷惑 時(shí)間: 2025-3-24 08:23
https://doi.org/10.1057/9781137020178r’s force can be sensed without additional hardware, and reliably discriminated from other common expressions. This work demonstrates that combining capacitive touch sensing with modern neural network algorithms is a practical direction to improve the usability and expressivity of touch-based user interfaces.作者: patella 時(shí)間: 2025-3-24 13:31
https://doi.org/10.1057/9781137020178osture-based pen interaction in applications are discussed and a number of usability aspects resulting from user evaluations are identified. The chapter concludes with perspectives on the recognition and design of posture-based pen interaction for future systems.作者: 慢慢沖刷 時(shí)間: 2025-3-24 18:32
The Fairy Tale about the Wise Man (1923)exploration of the use of Google’s Material Design within the dataset using machine learned models. We conclude with an overview of other work that has used Rico to understand our mobile UI world and build data-driven models that assist users, designers, and developers.作者: Cougar 時(shí)間: 2025-3-24 20:20 作者: BILL 時(shí)間: 2025-3-25 00:11 作者: 有雜色 時(shí)間: 2025-3-25 06:01
https://doi.org/10.1057/9781137342409an AI agent instead of the interfaces for users to interact with the underlying computing services. In this chapter, we describe the . system, explain the design and implementation of its key features, and show a prototype in the form of a conversational assistant on Android.作者: 使糾纏 時(shí)間: 2025-3-25 07:52 作者: TRAWL 時(shí)間: 2025-3-25 12:45 作者: mettlesome 時(shí)間: 2025-3-25 19:53
Deep Learning-Based Hand Posture Recognition for Pen Interaction Enhancementosture-based pen interaction in applications are discussed and a number of usability aspects resulting from user evaluations are identified. The chapter concludes with perspectives on the recognition and design of posture-based pen interaction for future systems.作者: cleaver 時(shí)間: 2025-3-25 21:14
An Early Rico Retrospective: Three Years of Uses for a Mobile App Datasetexploration of the use of Google’s Material Design within the dataset using machine learned models. We conclude with an overview of other work that has used Rico to understand our mobile UI world and build data-driven models that assist users, designers, and developers.作者: Organization 時(shí)間: 2025-3-26 01:16
Visual Intelligence through Human Interactiondels. Second, we explore a method to increase volunteer contributions using automated social interventions. Third, we develop a system to ensure human evaluation of generative vision models are reliable, affordable, and grounded in psychophysics theory. We conclude with future opportunities for Human–Computer Interaction to aid Computer Vision.作者: FLASK 時(shí)間: 2025-3-26 06:55
Interactive Reinforcement Learning for Autonomous Behavior Design the users intend. We help researchers perform the role (2) by proposing generic design principles to create effective RL applications. Finally, we list current open challenges in interactive RL and what we consider the most promising research directions in this research area.作者: CHART 時(shí)間: 2025-3-26 08:45
Demonstration + Natural Language: Multimodal Interfaces for GUI-Based Interactive Task Learning Agenan AI agent instead of the interfaces for users to interact with the underlying computing services. In this chapter, we describe the . system, explain the design and implementation of its key features, and show a prototype in the form of a conversational assistant on Android.作者: LUT 時(shí)間: 2025-3-26 15:35
A Fairy Tale About God and Kings (1921)vide a case study, using TensorFlow.js—a major Web ML library, to demonstrate how to prototype with Web ML tools in different prototyping scenarios. At the end, we discuss challenges and future directions of designing tools for fast prototyping and research.作者: angina-pectoris 時(shí)間: 2025-3-26 17:18 作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-26 22:49 作者: Limpid 時(shí)間: 2025-3-27 03:07 作者: 乏味 時(shí)間: 2025-3-27 08:45
AI-Driven Intelligent Text Correction Techniques for Mobile Text Entry that correction to a previously committed error. We evaluated these techniques in and the results show that correction with the new techniques was faster than de facto cursor and backspace-based correction.作者: 政府 時(shí)間: 2025-3-27 09:35
Bridging Natural Language and Graphical User Interfacesnterfaces such that a user knows how to control them in language. These projects resemble research efforts intersecting Natural Language Processing (NLP) and HCI, and produce datasets and opensource code that lay a foundation for future research in the area.作者: 連鎖 時(shí)間: 2025-3-27 15:36
ML Tools for the Web: A Way for Rapid Prototyping and HCI Researchvide a case study, using TensorFlow.js—a major Web ML library, to demonstrate how to prototype with Web ML tools in different prototyping scenarios. At the end, we discuss challenges and future directions of designing tools for fast prototyping and research.作者: inclusive 時(shí)間: 2025-3-27 20:28 作者: Crumple 時(shí)間: 2025-3-27 22:39
Human–Computer Interaction Serieshttp://image.papertrans.cn/b/image/162371.jpg作者: 克制 時(shí)間: 2025-3-28 05:39
Artificial Intelligence for Human Computer Interaction: A Modern Approach978-3-030-82681-9Series ISSN 1571-5035 Series E-ISSN 2524-4477 作者: 意外 時(shí)間: 2025-3-28 09:53
Postmodern Revisions: New Tales for Old?,actually testing it with real users. In this chapter, we are going to discuss how deep learning methods can be used to aid human performance prediction in the context of HCI. Particularly, we are going to look at three case studies. In the first case study, we discuss deep models for goal-driven hum作者: arrogant 時(shí)間: 2025-3-28 13:59 作者: 演繹 時(shí)間: 2025-3-28 17:33
Epilogue: The Importance of Enchantment,ble through trial and error. Predicting human behavior for this everyday gesture can help mobile app designers understand an important aspect of the usability of their apps without having to run a user study. In this chapter, we present an approach for modeling tappability of mobile interfaces at sc作者: phase-2-enzyme 時(shí)間: 2025-3-28 21:23
https://doi.org/10.1057/9781137020178elligent interactive systems. Eye gaze can also be taken as input to systems as a replacement of the conventional mouse and keyboard, and can also be indicative of the cognitive state of the user. However, estimating and applying gaze in real-world applications poses significant challenges. In this 作者: dry-eye 時(shí)間: 2025-3-29 02:55
Epilogue: The Importance of Enchantment,osition, make a correction, and navigate back, usually by employing multiple taps or drags over small targets. In this chapter, we present two techniques, Type, Then Correct and JustCorrect, that utilize the power of artificial intelligence to improve the text correction experience on mobile devices作者: 前奏曲 時(shí)間: 2025-3-29 05:51 作者: Sigmoidoscopy 時(shí)間: 2025-3-29 08:55
https://doi.org/10.1057/9781137020178 pen. Three systems using different types of sensors are considered: an EMG armband, the raw capacitive image of the touchscreen, and a pen-top fisheye camera. In each case, deep neural networks are used to perform classification or regression to detect hand postures and gestures. Additional analyse作者: NEX 時(shí)間: 2025-3-29 12:44 作者: 郊外 時(shí)間: 2025-3-29 16:36
Fairy Tales and Fables from Weimar Daysing objects in images to describing pictures, answering questions about images, aiding robots maneuver around physical spaces, and even generating novel visual content. As these tasks and applications have modernized, so too has the reliance on more data, either for model training or for evaluation.作者: 刺耳 時(shí)間: 2025-3-29 19:45 作者: 藐視 時(shí)間: 2025-3-30 03:47
The Little King and the Sun (1920) that provides them positive and negative rewards. The interactive RL approach incorporates a human-in-the-loop that can guide a learning RL-based agent to personalize its behavior and/or speed up its learning process. To enable HCI researchers to make advances in this area, we introduce an interact作者: Trochlea 時(shí)間: 2025-3-30 04:12 作者: 別名 時(shí)間: 2025-3-30 12:11 作者: Oligarchy 時(shí)間: 2025-3-30 14:28
https://doi.org/10.1007/978-3-319-64973-3for modern computers such as smartphones. In this chapter, we present our efforts for bridging the gap between natural language and graphical user interfaces, which can potentially enable a broad category of interaction scenarios. Specifically, we develop datasets and deep learning models that can g作者: Entropion 時(shí)間: 2025-3-30 17:10
https://doi.org/10.1057/9781137342409ant associated concepts interactively from the user’s natural language instructions and demonstrations leveraging the graphical user interfaces (GUIs) of third-party mobile apps. Through its multi-modal and mixed-initiative approaches for Human-AI interaction, . made important contributions in impro作者: omnibus 時(shí)間: 2025-3-30 22:09 作者: 江湖郎中 時(shí)間: 2025-3-31 03:45
978-3-030-82683-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Sarcoma 時(shí)間: 2025-3-31 05:44 作者: verdict 時(shí)間: 2025-3-31 12:49 作者: 留戀 時(shí)間: 2025-3-31 17:11
