24 papers · ranked by Valyu relevance
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…
Victor Chang, Rahman Olamide Eniola, Lewis Golightly, Qianwen Ariel Xu
'Qianwen Ariel Xu'] Scientists are developing hand gesture recognition systems to improve authentic, efficient, and effortless human-computer interactions without additional gadgets, particularly for the speech-impaired community, which relies on hand gestures as their only mode of communication. Unfortunately, the…
Jue Qu, Hao Guo, Wei Wang, Sina Dang
In order to solve the problem of unsmooth and inefficient human-computer interaction process in the information age, a method for human-computer interaction intention prediction based on electroencephalograph (EEG) signals and eye movement signals is proposed. This approach is different from previous methods where…
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…
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…
David Sussillo, Patrick Kaifosh, Thomas Reardon
Since the advent of computing, humans have sought computer input technologies that are expressive, intuitive, and universal. While diverse modalities have been developed, including keyboards, mice, and touchscreens, they require interaction with an intermediary device that can be limiting, especially in mobile…
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…
Sai Zhang, Xinyu Bai, Charles Hartley-O’Dwyer, Hugh Warren + 2 more
We introduce the Simulated Environment for Neurocognitive State Evaluation (SENSE-42), a multimodal dataset collected during user interactions with desktop computers. It is designed for studying spontaneous fluctuations in the neurocognitive state related to the tonic alertness of computer users, with recordings from…
Jean Botev, Ada Diaconescu, Heiko Hamann, Stephen Marsh + 1 more
'Francisco J. Rodríguez Lera'] Computer system design has been driven predominantly by technical aspects and considerations. However, as computing systems are increasingly embedded and integrated into the world, they have an extended impact on individuals and societies. In this context, social and behavioral dynamics…
Shengdong Zhao, Felicia Fang-Yi Tan, Katherine Fennedy
This article introduces our vision for a new interaction paradigm: "Heads-Up Computing", a concept involving the provision of seamless computing support for human's daily activities. Its synergistic and user-centric approach frees humans from common constraints caused by existing interactions (e.g. smartphone zombies)…
Alexander Mehler, Andy Lücking, Tiansi Dong
After a successful and text-centered period, AI, computational linguistics, and natural language engineering need to face the “ecological niche” (Holler and Levinson, [18]) of natural language use: face-to-face interaction. A particular challenge of human processing in face-to-face interaction is that it is fed by…
Ethan Eddy, Evan Campbell, Scott Bateman, Erik Scheme
Myoelectric control, the use of electromyogram (EMG) signals generated during muscle contractions to control a system or device, is a promising modality for enabling always-available control of emerging ubiquitous computing applications. However, its widespread use has historically been limited by the need for…
Authors not listed
This work focuses on a novel human-centered digital assistant combining Mixed Reality (MR), Computer Vision and Machine Learning regression to guide professionals and students on how to operate and correctly parameterize battery manufacturing machinery. Our Concept article aim is to provide a proof of concept of our…
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…
Amber H.Y. Chou, Momona Yamagami, Maneeshika M. Madduri, Benjamin J. Chasnov + 3 more
Despite the growing prevalence of learning algorithms in daily life, methods for analysis and synthesis of how these systems interact with people are limited. We studied optimization-based algorithms that co-adapt with people in the presence of dynamic machines, finding limitations on current theory that motivated us…
Momona Yamagami, Maneeshika M. Madduri, Benjamin J. Chasnov, Amber H.Y. Chou + 2 more
Despite the growing prevalence of adaptive systems in daily life, methods for analysis and synthesis of these systems are limited. Here we find theoretical obstacles to creating optimization-based algorithms that co-adapt with people in the presence of dynamic machines. These theoretical limitations motivate us to…
Evelien Heyselaar
The Computers Are Social Actors (CASA) theory is the most important theoretical contribution that has shaped the field of human-computer interaction. The theory states that humans interact with computers as if they are human, and is the cornerstone on which all social human-machine communication (e.g., chatbots…
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.…
Zhijie Feng, Chao Zhang, Xin Huang, Yingying Zhang + 22 more
This extension of human-computer interaction (HCI) paradigm to the non-intelligent microbe-computer interaction (MCI) is attractive for building generalized life-nonlife communication. Main challenges lie in how to construct biohybrid interface within individual MCI unit and thereafter program cross-life communication…
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…
Authors not listed
Chemistry curricula often separate “wet” experimental work from “dry” computation, yet modern discovery increasingly demands both. This Perspective offers an instructor-ready roadmap to train “hybrid chemists” within existing courses. We distill recent advances in machine learning, automation, and real-time analytics…
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…
Rebecca Brunk, Kriti Shukla, Bryant Hutson, Yue Wang + 7 more
Genomic sequencing and other big biological data is unquestionably of paramount value, however the success in recruiting highly skilled individuals with diverse backgrounds has been limited. A main reason for this deficiency could be due to the lack of educational resources and early exposure to the field. With the…