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Titlebook: Artificial Intelligence for Human Computer Interaction: A Modern Approach; Yang Li,Otmar Hilliges Book 2021 The Editor(s) (if applicable)

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樓主: 遮蔽
21#
發(fā)表于 2025-3-25 06:01:07 | 只看該作者
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.
22#
發(fā)表于 2025-3-25 07:52:16 | 只看該作者
23#
發(fā)表于 2025-3-25 12:45:51 | 只看該作者
24#
發(fā)表于 2025-3-25 19:53:06 | 只看該作者
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.
25#
發(fā)表于 2025-3-25 21:14:42 | 只看該作者
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.
26#
發(fā)表于 2025-3-26 01:16:35 | 只看該作者
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.
27#
發(fā)表于 2025-3-26 06:55:16 | 只看該作者
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.
28#
發(fā)表于 2025-3-26 08:45:42 | 只看該作者
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.
29#
發(fā)表于 2025-3-26 15:35:13 | 只看該作者
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.
30#
發(fā)表于 2025-3-26 17:18:04 | 只看該作者
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