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相关论文: ERUDITE: Human-in-the-Loop IoT for an Adaptive Per…

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People are becoming increasingly comfortable using Digital Assistants (DAs) to interact with services or connected objects. However, for non-programming users, the available possibilities for customizing their DA are limited and do not…

With the rapid growth of computing powers and recent advances in deep learning, we have witnessed impressive demonstrations of novel robot capabilities in research settings. Nonetheless, these learning systems exhibit brittle generalization…

机器人学 · 计算机科学 2023-07-06 Huihan Liu , Soroush Nasiriany , Lance Zhang , Zhiyao Bao , Yuke Zhu

Heating, Ventilation, and Air Conditioning (HVAC) systems account for approximately 38% of building energy consumption globally, making them one of the most energy-intensive services. The increasing emphasis on energy efficiency and…

系统与控制 · 电气工程与系统科学 2025-05-12 Xinyu Liang , Frits de Nijs , Buser Say , Hao Wang

Emotions have a major interactive role in defining how humans interact with their environment by encoding their perception to external events and accordingly, influencing their cognition and decision-making process. Therefore, increasing…

人机交互 · 计算机科学 2021-03-30 Mustaffa Alfatlawi

Despite impressive advancements of industrial collaborative robots, their potential remains largely untapped due to the difficulty in balancing human safety and comfort with fast production constraints. To help address this challenge, we…

机器人学 · 计算机科学 2025-03-11 Marta Lagomarsino , Marta Lorenzini , Elena De Momi , Arash Ajoudani

The integration of human and artificial intelligence offers a powerful avenue for advancing our understanding of information processing, as each system provides unique computational insights. However, despite the promise of human-AI…

神经元与认知 · 定量生物学 2025-04-22 Stephen Chong Zhao , Yang Hu , Jason Lee , Andrew Bender , Trisha Mazumdar , Mark Wallace , David A. Tovar

Industrial robots become increasingly prevalent, resulting in a growing need for intuitive, comforting human-robot collaboration. We present a user-aware robotic system that adapts to operator behavior in real time while non-intrusively…

机器人学 · 计算机科学 2024-09-17 Damian Hostettler , Simon Mayer , Jan Liam Albert , Kay Erik Jenss , Christian Hildebrand

A novel approach is presented in this work for context-aware connectivity and processing optimization of Internet of things (IoT) networks. Different from the state-of-the-art approaches, the proposed approach simultaneously selects the…

信号处理 · 电气工程与系统科学 2020-05-04 Metin Ozturk , Attai Ibrahim Abubakar , Rao Naveed Bin Rais , Mona Jaber , Sajjad Hussain , Muhammad Ali Imran

Integration of human feedback plays a key role in improving the learning capabilities of intelligent systems. This comparative study delves into the performance, robustness, and limitations of imitation learning compared to traditional…

机器学习 · 计算机科学 2024-10-30 Amr Gomaa , Bilal Mahdy

[Context and motivation] Internet of Things (IoT) is becoming common throughout everyday lives. However, the interaction is often different from when using e.g. computers and other smart devices. Furthermore, an IoT device is often…

软件工程 · 计算机科学 2018-03-09 Johanna Bergman , Thomas Olsson , Isabelle johansson , Kirsten Rassmus-Gröhn

Assistive robotic devices, like soft lower-limb exoskeletons or exosuits, are widely spreading with the promise of helping people in everyday life. To make such systems adaptive to the variety of users wearing them, it is desirable to endow…

Humans have internal models of robots (like their physical capabilities), the world (like what will happen next), and their tasks (like a preferred goal). However, human internal models are not always perfect: for example, it is easy to…

机器人学 · 计算机科学 2023-01-04 Ran Tian , Masayoshi Tomizuka , Anca Dragan , Andrea Bajcsy

The Internet of Things (IoT) network integrating billions of smart physical devices embedded with sensors, software, and communication technologies is a critical and rapidly expanding component of our modern world. The IoT ecosystem…

机器学习 · 计算机科学 2024-07-16 Shentong Mo , Russ Salakhutdinov , Louis-Philippe Morency , Paul Pu Liang

In Human-Computer Interaction (HCI) and Ubiquitous Computing, the objective of optimizing device interactions and personalizing user experiences has placed a new emphasis on accurately evaluating cognitive readiness using wearable devices.…

人机交互 · 计算机科学 2025-01-08 Tasnim Irtifa Chowdhury , Andrew Vargo , Chris Blakely , Benjamin Tag , Koichi Kise

Adaptive Virtual Reality (VR) systems have the potential to enhance training and learning experiences by dynamically responding to users' cognitive states. This research investigates how eye tracking and heart rate variability (HRV) can be…

人机交互 · 计算机科学 2025-04-10 Mahsa Nasri

As information technology advances, education is moving from one-size-fits-all instruction toward personalized learning. However, most methods handle modeling, item selection, and feedback in isolation rather than as a closed loop. This…

计算与语言 · 计算机科学 2025-10-28 Zhifeng Wang , Xinyue Zheng , Chunyan Zeng

Cognitive impairment has become epidemic in older adult population. The recent advent of tiny wearable and ambient devices, a.k.a Internet of Things (IoT) provides ample platforms for continuous functional and cognitive health assessment of…

人机交互 · 计算机科学 2020-03-18 Mohammad Arif Ul Alam , Nirmalya Roy , Sarah Holmes , Aryya Gangopadhyay , Elizabeth Galik

The Internet of Things (IoT) connects people, devices, and information resources, in various domains to improve efficiency. The healthcare domain has been transformed by the integration of the IoT, leading to the development of digital…

软件工程 · 计算机科学 2023-08-31 Euijong Lee , Jaemin Jung , Gee-Myung Moon , Seong-Whan Lee , Ji-Hoon Jeong

The Medical Internet of Things, a recent technological advancement in medicine, is incredibly helpful in providing real-time monitoring of health metrics. This paper presents a non-invasive IoT system that tracks patients' emotions,…

机器学习 · 计算机科学 2022-09-15 Fiona Victoria Stanley Jothiraj , Afra Mashhadi

Learning under unobservable feedback reliability poses a distinct challenge beyond optimization robustness: a system must decide whether to learn from an experience, not only how to learn stably. We study this setting as Epistemic…

机器学习 · 计算机科学 2026-01-22 Zhipeng Zhang , Zhenjie Yao , Kai Li , Lei Yang