25 papers · ranked by Valyu relevance
Boštjan Šumak, Saša Brdnik, Maja Pušnik, Alexander Wong
To equip computers with human communication skills and to enable natural interaction between the computer and a human, intelligent solutions are required based on artificial intelligence (AI) methods, algorithms, and sensor technology. This study aimed at identifying and analyzing the state-of-the-art AI methods and…
Daniela Quiñones, Luis Rojas, Osama Sohaib
Background In recent years, there has been an increasing interest in customer experience (CX) and its relation to the human-computer interaction (HCI) field. The CX is different depending on the domain in which it is studied, and therefore its dimensions may vary. Methodology This research presents an extensive review…
Honghuang Lin, Zirun Gan, Wensheng Gan, Zhenlian Qi + 2 more
'Philip S. Yu'] Abstract—Human-computer interaction (HCI) emerged with the birth of the computer and has been upgraded through decades of development. Metaverse has attracted a lot of interest with its immersive experience, and HCI is the entrance to the Metaverse for people. It is predictable that HCI will determine…
Wei Xu, Marvin J. Dainoff
Artificial intelligence (AI) has brought benefits, but it may also cause harm if it is not appropriately developed. Current development is mainly driven by a "technology-centered" approach, causing many failures [1, 2]. For example, the AI Incident Database has documented over a thousand AIrelated accidents [3]. To…
Maros Krupas, Erik Kajati, Chao Liu, Iveta Zolotova + 1 more
With the intent to further increase production efficiency while making human the centre of the processes, human-centric manufacturing focuses on concepts such as digital twins and human-machine collaboration. This paper presents enabling technologies and methods to facilitate the creation of human-centric applications…
Patricia Cornelio, Patrick Haggard, Kasper Hornbaek, Orestis Georgiou + 3 more
'Orestis Georgiou' 'Joanna Bergström' 'Sriram Subramanian' 'Marianna Obrist'] Human-computer integration is an emerging area in which the boundary between humans and technology is blurred as users and computers work collaboratively and share agency to execute tasks. The sense of agency (SoA) is an experience that…
Yanzhao Pan, Lea Rabe, Thorsten O Zander, Marius Klug
Virtual reality (VR) interaction remains largely dependent on explicit motor input, limiting seamless and adaptive interaction. This study investigated whether electroencephalography (EEG)-based passive brain–computer interfaces (BCIs), combined with eye gaze, can decode interaction intent directly from its underlying…
Xiaohe Bie, Bo Wang, Xinyu Long
Human-computer interaction (HCI) is undergoing a paradigm shift from "tool use" toward "partnership" and even "mind symbiosis," with psychology evolving from a supplementary explanatory tool to a core pillar shaping interaction paradigms and long-term relationships. This paper systematically reviews relevant research…
Guy André Boy
This chapter focuses on the evolution of Human-Centered Design (HCD) in aerospace systems over the last forty years. Human Factors and Ergonomics first shifted from the study of physical and medical issues to cognitive issues circa the 1980s. The advent of computers brought with it the development of human-computer…
Ruijia Cheng, Jenny T. Liang, Eldon Schoop, Jeffrey Nichols
Intelligentcomputer use agents, also referred to as "UI control agents," have emerged rapidly in the last year [3, 27, 29, [30]]. Powered by Large Language Models (LLMs) or Multimodal Large Language Models (MLLMs), these agents execute user commands by interacting with available UI elements, such as by tapping buttons…
José J. Cañas
The relationship between a human being and an AI system has to be considered as a collaborative process between two agents during the performance of an activity. When there is a collaboration between two people, a fundamental characteristic of that collaboration is that there is co-supervision, with each agent…
Kostas Tsiakas, Dave Murray-Rust
This paper aims to develop a semi-formal design space for Human-AI interactions, by building a set of interaction primitives which specify the communication between users and AI systems during their interaction. We show how these primitives can be combined into a set of interaction patterns which can provide an…
Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos + 5 more
A de novo molecular design workflow can be used together with technologies such as reinforcement learning to navigate the chemical space. A bottleneck in the workflow that remains to be solved is how to integrate human feedback in the exploration of the chemical space to optimize molecules. A human drug designer still…
Authors not listed
For decades, molecular visualization software has been fundamental to education and research in chemistry, structural biology, and materials science. These tools have enabled the inspection of structures, dynamics, and interactions, yet their reliance on two-dimensional (2D) interfaces imposes persistent limitations.…
David Mezey, Palina Bartashevich, Ghadi El Hasbani, Pawel Romanczuk + 3 more
Human-swarm interaction (HSI) explores how humans engage with distributed collective systems, aiming to incorporate human cognition into scalable and robust robotic swarms. While most HSI research focuses on remote teleoperation via engineered interfaces, real-world integration of swarms into everyday tasks requires…
Annika Lübbert, Malte Sengelmann, Katrin Heimann, Till R. Schneider + 2 more
Theories of embodied cognition suggest that a shared environment and ongoing sensorimotor interaction are central for interpersonal learning and engagement. To investigate the embodied, distributed and hence dynamically unfolding nature of social cognitive capacities, we present a novel laboratory-based coordination…
Aleš Vysocký, Tomáš Poštulka, Jakub Chlebek, Tomáš Kot + 6 more
'Jan Maslowski' 'Stefan Grushko' 'Krzysztof Grudzień' 'Zbigniew Chaniecki' 'Magdalena Wróbel-Lachowska' 'Andrzej Romanowski'] The article explores the possibilities of using hand gestures as a control interface for robotic systems in a collaborative workspace. The development of hand gesture control interfaces has…
Reza Sharif Razavian
This paper presents a novel model for predicting human movements and introduces a new control method for human-robot interaction based on this model. The developed predictive model of human movement is a holistic model that is based on well-supported neuroscientific and biomechanical theories of human motor control; it…
Lucie Denisart, Javier F. Troncoso, Emilie Loup-Escande, Alejandro A. Franco
In a scenario in which the manufacturing of high-performance, safe batteries on an unprecedented large scale is crucial for the energy transition and fight against climate change, research laboratories and cell production industries are facing challenges due to the lack of efficient data management and training tools.…
Wei Xu, Zaifeng Gao, Marvin J. Dainoff
—Human-centered AI (HCAI), as a design philosophy, advocates prioritizing humans in designing, developing, and deploying intelligent systems, aiming to maximize the benefits of AI technology to humans and avoid its potential adverse effects. While HCAI has gained momentum, the lack of guidance on methodology in its…
Yuanqi Du, Chenru Duan, Andres Bran, Anna Sotnikova + 5 more
Large language models (LLMs) have demonstrated outstanding capabilities in general problem-solving and been shown to improve productivity in certain domains. Thanks to their flexibility, recent work has leveraged them for diverse scientific applications, ranging from predictive modeling, scientific Q&A, and even as…
Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann + 7 more
Chemical reaction optimization (RO) is an iterative process that results in large and high-dimensional datasets. Current tools only allow for limited analysis and understanding of parameter spaces, making it hard for scientists to review or follow changes throughout the process. With the recent emergence of using…
Mohammad Shushtari, Arash Arami
Accurate interaction force estimation can play an important role in optimization human-robot interaction in exoskeleton. In this work, we propose a novel approach for system identification of exoskeleton dynamics in presence of interaction forces as a whole multi-body system regardless of gait phase or any assumption…
Oliver Lee, Malte Gather, Eli Zysman-Colman
We describe a new tool for the efficient management of computational chemistry. Digichem is a program that automates and simplifies nearly the entire computational pipeline, including large-scale batch submission of calculations, analysis and results parsing, the generation of 3D density plots and 2D graphs of…
Alejandro A. Franco, Emilie Loup-Escande, Goran Loiseaux, Jean-Noël Chotard + 5 more
We present two digital-based serious games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery-powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR)…