Human-Computer Interaction - Science topic

Water's pleasant nature and associated health benefits have captivated the interest of HCI researchers. Prior WaterHCI work mainly focused on advancing instrumental applications, such as improving swimming performance, and less on designing systems that support interacting with technology in water in more playful contexts. In this regard, we propos...

Deadline for manuscript submissions: 30 October 2023 https://www.mdpi.com/journal/information/special_issues/BR5E3N53AT Our aspiration is to form a dedicated Special Issue to bring together research on potential topics such as: - HCI for people with special needs and for elderly users; - Study of user behaviour through means of machine learning,...

This work was motivated by a previous study that saw unintended behaviors from some participants in online survey interactions. We conducted a post-hoc analysis of the study's participant data, including an analytical retrospective of effectiveness of reactive process changes, qualitative analyses of user behaviors, and a quantitative analysis of u...

The aim of the conference is to open a discussion on the topic of “computing the human.” It is intended as a “melting pot” for interdisciplinary debate reflecting the complexity of the issues: cultural history of computing, human-computer interaction (HCI), and emotion programming, all framed by the ethos of diversity and inclusion in computing and...

Artificial Intelligence (AI) can be easily integrated into virtual education to drive adaptive instruction and real-time constructive feedback to students, offering a possible conduit for fostering discovery curiosity in learners. This study examines and characterizes Human-AI-Teaming (HAT) coordination dynamics to monitor the inception of discover...

Digital tools have the ability to log the fine-grained details of user experiences within and across the system. These digital experiences can lend valuable contextualization to other ethnographic insights. In this paper, we discuss the potential for using interaction logs as a data source and the pipeline considerations that can facilitate and enh...

Architectural heritage is vulnerable to disasters. Digital technologies can fight destruction and can ensure integrity by monitoring, managing and protecting architectural heritage from disasters. In this paper, we clarify the relationship between disasters, digitalization and architectural heritage conservation for the sustainability of cultural h...

Gaze estimation is an important factor in human activity and behavior recognition. The technology is used in numerous applications such as human-computer interaction, driver monitoring systems, and surveillance. Gaze estimation can be achieved using different technologies such as wearable devices or cameras. Estimating gaze using a webcam can indee...

chi $$ iplot is an HTML5-based system for interactive exploration of data and machine learning models. A key aspect is interaction, not only for the interactive plots but also between plots. Even though $$\chi $$ iplot is not restricted to any single application domain, we have developed and tested it with domain experts in quantum chemistry to stu...

We report our educational and research activities in a Minecraft server we have set up in our university. With a goal of understanding human/computer interactions in a complex domain, we have created bots that can collaborate with users and communicate through chat. Some of these bots use the ChatGPT API, and we are investigating how the embodied n...

Significant advances are being made in speech emotion recognition (SER) using deep learning models. Nonetheless, training SER systems remains challenging, requiring both time and costly resources. Like many other machine learning tasks, acquiring datasets for SER requires substantial data annotation efforts, including transcription and labeling. Th...

Pupil tracking plays a crucial role in various applications, including human–computer interactions, biometric identification, and Autostereoscopic three-dimensional (3D) displays, such as augmented reality (AR) 3D head-up displays (HUDs). This study aims to explore and compare advancements in pupil-tracking techniques using event camera imaging. Ev...

The force distribution in the oceans, which cover 71% of the Earth's surface, is relatively unknown compared to the cosmos between Earth and 13.8 billion light years away due to the lack of sensors that can operate over long periods in a harsh underwater environments. Herein, a self‐powered underwater force sensor (SUFS) is reported based on a T‐sh...

Human-Computer Interaction is a study in which people use elaborate technological inventions. It concerns how humans interact with information, technologies, and others. This paper aims to provide an overview of the adaptation and assimilation measurement process in Human-Computer Interaction through social media. The researcher used the mixed-meth...

Short video indulgence refers to an individual’s compulsive and uncontrollable consumption of short videos, leading to significant behavioral or attention impairments, and subsequently causing difficulties in interpersonal relationships, learning, and/or work adaptation. With the continuous expansion of the short video user base and the trend towar...

Impact of aging effects on Static Random-Access Memory Physical Unclonable Functions (SRAM PUFs) presents critical implications for security and reliability in modern hardware. Emerging as promising hardware-based security primitives, SRAM PUFs harness process variations in integrated circuits for secure key generation and device authentication. Ho...

ChatGPT could serve as a tool for text analysis within the field of Human–Computer Interaction, though its validity requires investigation. This study applied ChatGPT to: (1) textbox questionnaire responses on nine augmented-reality interfaces, (2) interview data from participants who experienced these interfaces in a virtual simulator, and (3) tra...

ChatGPT could serve as a tool for text analysis within the field of Human-Computer Interaction, though its validity requires investigation. This study applied ChatGPT to: (1) textbox questionnaire responses on nine augmented-reality interfaces, (2) interview data from participants who experienced these interfaces in a virtual simulator, and (3) tra...

Users watch videos for a long time when they are learning or entertaining. They may inevitably be tired, doze off or leave temporarily. However, the videos continue to play. When the users want to watch the video again, they must return to find the appropriate restarting position, causing inconvenience. The ultimate need of this study is to impleme...

This paper focuses on the construction of a methodology for artistic researchers, in particular practising musicians. Artistic research is a steadily growing field, gaining increasing relevance in academic discourse and flourishing in universities and music academies. Due to its relatively recent history there is still a lack of standardized widesp...

The size of the home is considered the most critical issue affecting the quality of life. This can be measured by the quality of the house and its environment. This paper highlights the housing quality index at the urban axis level the urban axes of Western and Eastern Europe and the impact of socioeconomic activities on the index. The Household Qu...

While several studies revealed that gamification could enhance students’ learning motivation and engagement, less focus in the literature has been paid to the changes that gamification might bring to students’ learning behaviors. Motivated by this research gap, this study harnesses the power of big data and learning analytics (LA) to analyze and co...

Introduction: Conducting research on human-computer interaction and information retrieval requires unobtrusive observations within existing network architectures. State of the art: Most of the available tools are not suitable to be applied within restricted clinical systems. The specific requirements hinder analysis of the human factors in healt...

Virtual tourism or VR tourism has attracted great attention for its ability to simulate real-world experiences at a much lower cost and safer than actual travel. However, previous studies have mainly targeted young people or studies on older adults did not compare different age groups with both quantitative and qualitative methods. This study analy...

Electroencephalogram (EEG) emotion recognition plays an important role in human–computer interaction. An increasing number of algorithms for emotion recognition have been proposed recently. However, it is still challenging to make efficient use of emotional activity knowledge. In this paper, based on prior knowledge that emotion varies slowly acros...

Virtual reality (VR) research has provided overviews of locomotion techniques, how they work, their strengths and overall user experience. Considerable research has investigated new methodologies, particularly machine learning to develop redirection algorithms. To best support the development of redirection algorithms through machine learning, we m...

Thermoelectric sensors have attracted increasing attention in smart wearables due to the recognition of multiple signals in self‐powered mode. However, present thermoelectric devices show disadvantages of low durability, weak wearability, and complex preparation processes and are susceptible to moisture in the microenvironment of the human body, wh...

With the advancement in big data and cloud computing technology, we have witnessed tremendous developments in applying intelligent techniques in network operation and management. However, learning- and data-based solutions for network operation and maintenance cannot effectively adapt to the dynamic security situation or satisfy administrators’ exp...

The injection of chemicals is one of the most important treatment steps used to reduce the effect of corrosion factors in crude oil distillation units in oil refineries. As a result of the availability of suitable conditions for the formation of the main corrosion agents, namely acids (HCI, H2S). It has become necessary to neutralize the effect of...

Background Learning to use software using screencast videos with worked examples in the corresponding practice files presents a classic split‐attention problem that requires learners to mentally integrate information from the video with a target application. While there is evidence that splitting attention either temporally or spatially adversely i...

Speech is the most direct method of human communication with a high level of efficiency, which contains a lot of information about the speaker’s feelings. The ability to recognize and distinguish between different emotions with sentences is a necessary component in intelligent applications of human-computer interaction (HCI). For the purpose of cre...

As a relatively new form of sport, esports offers unparalleled data availability. Our work aims to open esports to a broader scientific community by supplying raw and pre-processed files from StarCraft II esports tournaments. These files can be used in statistical and machine learning modeling tasks and compared to laboratory-based measurements. Ad...

Introduction: This study explores the effects of Artificial Intelligence (AI) chatbots, with a particular focus on OpenAI’s ChatGPT, on Higher Education Institutions (HEIs). With the rapid advancement of AI, understanding its implications in the educational sector becomes paramount. Methods: Utilizing databases like PubMed, IEEE Xplore, and Google...

Eutectogels are emerging as an appealing soft conductor for self‐powered sensing and the next generation of flexible human–computer interactive devices owing to their inherent mechanical elasticity and high ionic conductivity. However, it still remains a challenge to simultaneously achieve multi‐functional and multi‐response integrations through a...

Pektin adalah senyawa polisakarida kompleks yang terdapat dalam dinding sel tumbuhan dan dapat ditemukan dalam berbagai jenis tanaman pangan. Pektin banyak digunakan dalam industri makanan, farmasi dan kosmetik sebagai bahan perekat, pengental dan penstabil agar tidak terbentuk endapan. Salah satu tanaman yang memiliki kandungan pektin adalah buah...

Human Computer Interaction (HCI) is a theory in which we are trying to find ways to enable humans to work with machines or computers and to help people understand the information presented. Data visualization and information visualization are formal ways to intervene in complex information and deliver it to viewers effectively. Infographics help to...

In order to explore the aging-friendly design features of the facial expression interface of the elderly intelligent robot and reduce the cognitive burden of the elderly users, an optimal design method for the facial expression interface of the elderly intelligent service robot based on the user's emotional experience is proposed. Firstly, based on...

In recent years, human pose estimation, as a subfield of computer vision and artificial intelligence, has achieved significant performance improvements due to its wide applications in human-computer interaction, virtual reality, and smart security. However, most existing methods are designed for single-person scenes and suffer from low accuracy and...

Real-time hand segmentation is a key process in applications that require human–computer interaction, such as gesture recognition or augmented reality systems. However, the infinite shapes and orientations that hands can adopt, their variability in skin pigmentation and the self-occlusions that continuously appear in images make hand segmentation a...

An unmanned swarm is usually composed of a group of homogeneous or heterogeneous hardware platforms, software control systems, and interfaces for human–computer interaction that operate collectively to achieve a specific goal by information interaction. They exhibit robustness and fault tolerance when facing complex missions, making it crucial in m...

The ability to identify human actions in uncontrolled surroundings is important for Human–Computer Interaction (HCI), especially in the sports areas to offer athletes, coaches, and analysts valuable knowledge about movement techniques and aid referees in making well-informed decisions regarding sports movements. Noteworthy, recognizing human action...

In recent years, there has been a growing interest in using artificial intelligence (AI) techniques to develop efficient and accurate models for emotion recognition and classification from audio data. This article presents an overview of advances in the field of emotion recognition and classification using AI with a particular focus on audio data....

This paper outlines the research objectives, methodology, and preliminary findings of a doctoral study entitled "An optimization model for Theobroma Cacao yield maximization based on smart farming technologies". Considering smallholder farm characteristics, agribusiness, and agronomists, the dissertation aims to positively enhance cocoa productivit...

This is the presentation used at Interaccion 2023. A conference about Human-Computer Interaction was held by Universitat de Lleida and organized by AIPO

Voice conversion (VC) transforms an utterance to sound like another person without changing the linguistic content. A recently proposed generative adversarial network-based VC method, StarGANv2-VC is very successful in generating natural-sounding conversions. However, the method fails to preserve the emotion of the source speaker in the converted s...

In this position paper, we explore the characteristics of small data sets within the domain of Human-Computer Interaction (HCI), where Machine Learning (ML) techniques are applied. We investigate the definition of small data sets in HCI experiments, the challenges and opportunities associated with using ML with small data, and the potential applica...

Gender classification by computer is essential for applications in many domains, such as human-computer interaction or biometric system applications. Generally, gender classification by computer can be done by using a face photo, fingerprint, or voice. However, researchers have demonstrated the potential of the electrocardiogram (ECG) as a biometri...

Background: Adapting the User Interface (UI) of software systems to user requirements and the context of use is challenging. The main difficulty consists of suggesting the right adaptation at the right time in the right place in order to make it valuable for end-users. We believe that recent progress in Machine Learning techniques provides useful w...

In recent years, significant progress has been made in the research and development of conventional hydrogel sensors. However, the development of hydrogels with special structures, achieved through specific designs or fabrication strategies, remains relatively scarce. Inspired by aloe, a specially structured hydrogel (named Skin‐Polyvinyl alcohol‐P...

Human pose estimation is the basis of many downstream tasks, such as motor intervention, behavior understanding, and human–computer interaction. The existing human pose estimation methods rely too much on the similarity of keypoints at the image feature level, which is vulnerable to three problems: object occlusion, keypoints ghost, and neighbor po...

The synergistic partnership between humans and artificial intelligence (AI), termed Centaur Intelligence, promises to redefine the future of work, decision-making, and problem-solving. This paper explores a groundbreaking hypothesis aimed at optimizing human cognitive performance within this human-AI paradigm. We investigate the potential roles of...

Individuals are increasingly required to interact with complex and autonomous technologies, which often has a significant impact on the control they experience over their actions and choices. A better characterization of the factors responsible for modulating the control experience of human operators is therefore a major challenge to improve the qu...

The European Accessibility Act (EAA) sets accessibility requirements for a wide range of products and services provided by public bodies and private companies, the implementation of which in Germany is defined by the Barrierefreiheitsstärkungsgesetz (BFSG). Despite numerous approaches to make information and communication technologies (ICT) accessi...

Good human relationships are important for us to have a happy life and maintain our well-being. Otherwise, we will be at risk of experiencing loneliness or depression. In human-computer interaction (HCI) and computer-supported cooperative work (CSCW), robotic systems offer nuanced approaches to foster human connection, providing interaction beyond...

As a result of the development of artificial intelligence in recent years, scientists have gone further in the field of human-robot interaction (HRI), and one of the remaining problems is how to achieve a safe and human comfort-satisfying navigation when it comes to crowd-robot interaction (CRI). This article explores two existing deep learning rei...

As the in-depth expansion and integrated application of information technology, smart city is one of the important directions for nurturing breakthroughs in the new generation of information technology, and an important part of the development of global strategic emerging industries. In the context of world peace, the world economy is developing ra...

Multimodal emotion classification (MEC) has been extensively studied in human–computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning of effective unimodal representations due to differences between unimodal expressions and multi...

Facial emotion recognition (FER), a technology designed to automatically identify the emotional state of an individual based on the features of his face, is a thriving area in human-computer interaction and affective computing. Among all the FER techniques, the deep learning model, especially the convolutional neural network is more successful. In...

Facial expression recognition (FER) is a rapidly emerging topic in computer vision that has gotten a lot of interest because of its numerous applications in fields including psychology, sociology, human-computer interaction (HCI), and security. FER seeks to recognise and analyse human facial expressions in order to determine emotions and other ment...

The use of hand gestures for human-computer interaction (HCI) has gained popularity due to its ability to provide natural and intuitive communication in human dialogues. Hand gesture recognition (HGR) using surface electromyography (sEMG) signals is more reliable and user-friendly than traditional computer vision-based methods. This study proposes...

Time perception is an integral aspect of human experience and has numerous implications for the communication between humans and computers. When interacting with computers, user experience is often compromised by non-optimal latency and temporal mis-perception. In this workshop, we gather scientists from diverse research fields (including Human-Com...

Wastes with high metal content are an important secondary source. Utilisation of these wastes is important offering environmental and economic advantages as well as the conservation of natural resources. Due to the widespread use of portable electrical and electronic devices (mobile phones, laptops, video cameras, etc.) and electric cars, the consu...

Drawing inspiration from our ancestors' use of paintings and engravings in caves to capture actions and emotions, we recognize the relevance of incorporating this in social presentation. The pandemic has underscored the significance of addressing social isolation and exploring how HCI design can facilitate connections and foster self-expression[4]....

Gestures have been used for nonverbal communication for a long time, but human–computer interaction (HCI) via gestures is becoming more common in the modern era. To obtain a greater recognition rate, the traditional interface comprises various devices, such as gloves, physical controllers, and markers. This study provides a new markerless technique...

Conversation serves as a crucial means for individuals to express their intentions, feelings, attitudes, and personalities, making natural conversational interaction a vital technical competency for conversational agents. With the growing advancements in deep learning and natural language processing techniques, these systems have gained significant...

Elderly users are unable to adapt to the technological dividend brought by the internet of everything as soon as possible due to the deterioration in cognitive and perceptual functions, especially in the state of development of modern intelligent homes whose users’ practical operational capabilities cannot be matched. This situation creates a digit...

E-learning UAJ is a system provided by Unika Atma Jaya to facilitate the learning process for both students and lecturers. However, this system is still rarely used, especially among engineering faculties. This forms the basis for conducting the following analysis. The purpose of this research is to measure the level of usability of the UAJ e-learn...