Human-Computer Interaction - Science topic

In this chapter, we explore how major changes to employment are altering relational dynamics and thus people’s experiences of loneliness in work contexts. We focus on virtual (i.e., hybrid or remote) jobs and gig (i.e., external, contract-based) arrangements, which are increasingly prevalent globally. Drawing on research from multiple literatures (...

Dear Colleagues, The large amount and complexity of information generated around the world have given rise to new research capable of modeling complex real-life problems. Recently, symmetry has been a fundamental tool in the study and analysis of complex systems. In machine learning and artificial intelligence, symmetry/asymmetry has been used in...

The aim of the workshop is to examine methodologies to effectively design and use HCAI, to gain insights into the evolution of HCI approaches, and to support the sustained development of HCAI.

The popularity of accessibility research has grown recently, improving digital inclusion for people with disabilities. However, researchers, including those who have disabilities, have attempted to include people with disabilities in all aspects of design, and they have identified a myriad of practical accessibility barriers posed by tools and meth...

Emotion classification plays a crucial role in the domain of human–computer interaction, as it holds substantial significance in effective communication. However, the task of emotion classification presents notable challenges primarily due to the subjective and multifaceted nature of emotions, encompassing varying cultural and individual interpreta...

Gaze tracking serves as a critical component in human-computer interaction, significantly enhancing the capabilities of immersive extended-reality (XR) applications. Despite the integration of advanced eye-tracking technologies in modern XR devices, challenges surrounding usability, scalability, and privacy remain unresolved. This study presents a...

Fire patterns, consisting of fire effects that offer insights into fire behavior and origin, are currently classified based on investigators' visual observations, leading to subjective interpretations. This study proposes a quantitative fire pattern classification framework to support fire investigators, aiming for consistency and accuracy. The fra...

In living organisms, the modulation of ion conductivity in ion channels of neuron cells enables intelligent behaviors, such as generating, transmitting, and storing neural signals. Drawing inspiration from these natural processes, researchers have fabricated ionic devices that replicate the functions of the nervous system. However, this field remai...

Recent strides in Artificial Intelligence, especially in Natural Language Processing and Understanding (NLP/NLU), have significantly transformed human-computer interactions. Large Language Models (LLMs) have become a key innovation, facilitating efficient knowledge extraction via targeted queries. This paper delves into the utilization of LLMs and...

Language is fundamental to human cognition, shaping perception, emotional regulation, and even physiological states. This paper introduces the concept of Language DNA, a theoretical framework that posits linguistic structures as biologically and cognitively encoded patterns influencing human interaction, cognition, and well-being. By mapping langua...

With the rapid development of human–computer interaction and natural language generation technology, chat dialogue summarization has attracted extensive attention from researchers, which aims to obtain significant information from chat history. The current chat dialogue summary models mainly focus on short dialogues due to the limitation of input t...

Personal space, also known as peripersonal space, is crucial in human social interaction, influencing comfort, communication, and social stress. Estimating and respecting personal space is essential for enhancing human-computer interaction (HCI) and smart environments. Personal space preferences vary due to individual traits, cultural background, a...

Este trabalho aborda o desenvolvimento de um Protótipo de Interação Humano-Computador que processa linguagem natural buscando níveis de eficiência e de precisão, sem depender de uma conexão com a Internet utilizando um Modelo de Linguagem Ampla (Large Language Model) e integrando funcionalidades de Reconhecimento de Fala (Speech to Text) e Síntese...

In this paper, we present a low-cost, low-power millimeter-wave (mmWave) skeletal joint localization system. High-quality point cloud data are generated using the self-developed BHYY_MMW6044 59–64 GHz mmWave radar device. A sliding window mechanism is introduced to extend the single-frame point cloud into multi-frame time-series data, enabling the...

Introduction: Over 1 billion people worldwide have disabilities, necessitating their inclusion in health systems and workplaces. Artificial intelligence (AI) is revolutionizing accessibility and digital inclusion for these individuals, improving everyday tasks and enabling autonomous mobility. AI can be applied to visually impaired, reduced mobilit...

In the context of global warming, landscapes with ice-rich permafrost, such as the Qinghai–Tibet Plateau (QTP), are highly vulnerable. The expansion of thermokarst lakes erodes the surrounding land, leading to collapses of various scales and posing a threat to nearby infrastructure and the environment. Assessing the susceptibility of thermokarst la...

Human-in-the-loop (HITL) frameworks are increasingly recognized for their potential to improve annotation accuracy in emotion estimation systems by combining machine predictions with human expertise. This study focuses on integrating a high-performing image-based emotion model into a HITL annotation framework to evaluate the collaborative potential...

This research proposes a novel conceptual framework that combines the concepts of Human-Computer Interaction (HCI) and Ambient Intelligence (AmI). The proposed framework aims to shed light on the importance of considering the needs and the social interactions of various building occupants in different types of buildings and designing HBI strategies...

Craft-based methodologies have emerged as a vital human-computer interaction (HCI) approach, bridging digital and physical materials in interactive system design. This study, born from a collaboration between two research networks focused on affective design and interaction design, investigates how diverse professionals use craft-based approaches t...

In order to bring a new perspective of human-computer interaction to TV program hosts, increase program highlights, and promote the integration and development of new technologies and new media, the authors propose the application of intelligent robots in mobile application content intelligent recommendation. Designed and implemented an artificial...

Co-speech gesture generation is crucial for creating lifelike avatars and enhancing human-computer interactions by synchronizing gestures with speech. Despite recent advancements, existing methods struggle with accurately identifying the rhythmic or semantic triggers from audio for generating contextualized gesture patterns and achieving pixel-leve...

This study investigates the effects of temperature and humidity on the subjective characteristics of wine through evaluations in two distinct environments: an artificial climate chamber and a conference room. Two wines, wine 1(CROIX DE BEAUCAILLOU 2011) and wine 2(BLAGNY 1ER CRU LA PIECE SOUS LE BOIS 2014), were analyzed. Significant differences in...

Digital media interaction design mainly focuses on the user’s interactive experience in the digital media environment. By designing interaction methods that conform to human cognition and behavioral habits, it improves the efficiency and comfort of user interaction with digital devices. Its development history can be traced back to the early stage...

Online communities can offer many benefits for youth including peer learning, cultural expression, and skill development. However, most HCI research on youth-focused online communities has centered communities developed by adults for youth rather than by the youth themselves. In this work, we interviewed 11 teenagers (ages 13-17) who moderate onlin...

Philosophical stances and design frameworks, such as value‐sensitive design, manifest in design praxis through enacting specific design approaches and employing a variety of methods by the designers. Although it could overlap with other frameworks and approaches in the Instructional Design and Technology (IDT) field, value‐sensitive design remains...

Gaze tracking and estimation are essential for understanding human behavior and enhancing human-computer interactions. This study introduces an innovative, cost-effective solution for real-time gaze tracking using a standard webcam, providing a practical alternative to conventional methods that rely on expensive infrared (IR) cameras. Traditional a...

The rapid evolution of wearable technology marks a transformative phase in human-computer interaction, seamlessly integrating digital functionality into daily life. This paper explores the historical trajectory, current advancements, and future potential of wearables, emphasizing their impact on healthcare, productivity, and personal well-being. Ke...

Mental-illness stigma is a persistent social problem, hampering both treatment-seeking and recovery. Accordingly, there is a pressing need to understand it more clearly, but analyzing the relevant data is highly labor-intensive. Therefore, we designed a chatbot to engage participants in conversations; coded those conversations qualitatively with AI...

Lipreading is an important technique for facilitating human-computer interaction in noisy environments. Our previously developed self-supervised learning method, AV2vec, which leverages multimodal self-distillation, has demonstrated promising performance in speaker-independent lipreading on the English LRS3 dataset. However, AV2vec faces challenges...

The development of a communication system for individuals with hearing impairment is of major importance to facilitate connecting with community, depending on their communication tools called Sign Languages (SLs). Therefore, this study exploits the development of Artificial Intelligence to advocate for the implementation of a Human–Computer Interac...

The 7th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2024) brought together researchers, practitioners, and experts to explore the latest advancements, trends, and challenges in the rapidly evolving fields of computer science and software engineering. The workshop covered a wide range of topics, including softw...

This study is motivated by two key considerations: the significant benefits mobile applications offer individuals and businesses, and the limited empirical research on usability challenges. To address this gap, we conducted structured interviews with twelve experts to identify common usability issues. Our findings highlight the top five concerns re...

Recent advances in manufacturing of flexible and conformable microelectronics have opened opportunities for health monitoring and disease treatment. Other material engineering advances, such as the development of conductive, skin-like hydrogels, liquid metals, electric textiles, and piezoelectric films provide safe and comfortable means of interfac...

In the rapidly advancing fields of artificial intelligence and the Internet of Things, there is a growing need for human‐computer interaction (HCI) solutions that are not only intuitive but also efficient and easy to use. Triboelectric nanogenerators present a promising approach to developing wireless human‐machine interfaces, offering advantages s...

The rapid evolution of large language models (LLMs) has transformed human-computer interaction (HCI), but the interaction with LLMs is currently mainly focused on text-based interactions, while other multi-model approaches remain under-explored. This paper introduces VTutor, an open-source Software Development Kit (SDK) that combines generative AI...

Journal: International Journal of Human-Computer Interaction Awarded: Invited Reviewer Certificate. To: Dr. Supaprawat Siripipatthanakul https://lnkd.in/g4GRRwfK SUBJECT AREA AND CATEGORY Computer Science Computer Science Applications Human-Computer Interaction Social Sciences Human Factors and Ergonomics Publisher: Taylor & Francis SJR: Scopus &...

Epidemiological studies have demonstrated a significant increase in the incidence of Autism Spectrum Disorder (ASD) in the population over the years. Estimates indicate that approximately 1% of children worldwide are diagnosed with autism, while in the United States, this ratio is 1 in every 36 children. Additionally, research suggests a growing in...

This paper extends previous work on usability evaluation heuristics for e-commerce platforms by conducting a detailed experimentation to validate and refine the proposed heuristic set. A group of international expert evaluators applied the new heuristics to an e-commerce platform, providing both individual assessments and qualitative feedback. The...

Hand kinematics can be measured in Human-Computer Interaction (HCI) with the intention to predict the user's intention in a reach-to-grasp action. Using multiple hand sensors, multivariate time series data are being captured. Given a number of possible actions on a number of objects, the goal is to classify the multivariate time series data, where...

Brain–computer interface (BCI) technology has huge potential to transform human–computer interaction across multiple disciplines. Despite efforts, achieving high accuracy in motor imagery (MI) task classification remains difficult. This proposed solution addresses the MI tasks classification challenge utilizing the BCI IV 2a and 2b datasets. Using...

In the context of the technological revolution and the digital intelligence era, the contradiction between the rising incidence of diseases and the uneven distribution of quality medical resources is highlighted, and the diagnosis and prevention of diseases, and the prognosis and management of diseases are particularly important in the current soci...

Flexible tactile sensors are widely used in aerospace, medical and health monitoring, electronic skin, human–computer interaction, and other fields due to their unique advantages, thus becoming a research hotspot. The goal is to develop a flexible tactile sensor characterized by outstanding sensitivity, extensive detection range and linearity, elev...

Facial expression recognition finds extensive applications in human-computer interaction, education, and autonomous driving. Nevertheless, occlusion and pose changes during expression recognition can lead to the loss of information about different facial parts, obfuscation, and the disruption of local relationships, frequently resulting in a declin...

The exploration of complex environments (reconstructed locations, immersive data visualisation, etc.) is one of the primary applications of virtual reality (VR) because of the feeling of immersion and the natural interactions that it provides. When exploration is completely free, users easily become disoriented and frustrated due to multiple factor...

Assignments and tests are the main forms of evaluation in the educational process, students usually lose interest in boring exercises during course learning. In spired of elements from human-computer battle game, a course test system is designed to encourage students to take tests more frequently and actively to achieve better learning effect, whic...

Objective. Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous concern in neurophysiological signal processing, particularly for enhancing the signal-to-noise ratio in electroencephalograph (EEG) analysis. Novel methods based on deep learning demonstrate a notably prominent effect compared to traditional...

Well, anyone can join the social media application to create a new game rule book and it can be a national politician, a national or international bureaucrat or a banker or a professor or a student. Imagine an outcome when you find that a new knowledge stream is created by a cluster that doesn't at all represent a professor or a Nobel Laureate but...

Many applications benefit from the prediction of 3D human motion based on past observations, e.g., human–computer interactions, autonomous driving. However, while existing methods based on encoding–decoding achieve good performance, prediction in the range of seconds still suffers from errors and motion switching scarcity. In this paper, we propose...

***Web of Science (WOS) Profile of Dr. Supaprawat Siripipatthanakul *** 147 manuscripts have been added to WOS's profile of the manuscripts reviewed for Q1 & Q2, Taylor & Francis.*** (1) Cogent Business & Management, UK (Q2), (2) Cogent Education, UK (Q2) (3) Behaviour & Information Technology (Q1), (4) International Journal of Human-Computer Inter...

Preface to the Iberoamerican Human-Computer Interaction Conference 2024 Special Issue

2025年の大学入学共通テスト「情報I」において，マウスカーソルでターゲットを選択する時間についての問題が出題された． Human-computer interaction分野ではフィッツの法則に関連する馴染み深いトピックであるが，ターゲットサイズが実質的に無限大と見なせる特殊なケースが設定されている． 本稿では，ターゲットポインティングに関する先行研究をふまえて，公式発表された解答の妥当性を考察するとともに，HCI分野が今後取り組むべき検証課題を明らかにする．

Robots extend beyond the tools of productivity; they also contribute to creative activities. Although typically defined as utility-driven technologies designed for productive or social settings, the role of robots in creative settings remains underexplored. This paper examines how robots participate in artistic creation. Through semi-structured int...

The adoption of augmented reality (AR) and virtual reality (VR) across essential sectors has significantly enhanced accessibility and healthcare, offering substantial benefits to the differently abled and elderly. This paper examines the role of AR and VR in mobility support, cognitive enhancement, human-computer interaction, and inclusive educatio...

Temporal action segmentation, crucial for understanding human activities in video content, remains a challenging task due to the complexity and variability of human actions. Existing approaches, such as temporal convolutional networks (TCNs) and transformer-based architectures, often fail to adequately model the intricate dependencies and semantic...

This research paper investigated the critical role of real-time automated awareness and the handling of exceptions in developing autonomous driving technologies. Focusing on the automated driving systems deployed by Tesla, Waymo, and NVIDIA, we explored the integration of real-time data processing, sensor technology, and AI algorithms essential for...

The research into artificial intelligence (AI), the metaverse, and extended reality (XR) technologies, such as augmented reality (AR), virtual reality (VR), and mixed reality (MR), has been expanding over the recent years. This study aims to provide an overview regarding the combination of AI with XR technologies and the metaverse through the exami...

Human-Computer Interaction (HCI) plays a crucial role in shaping the usability, accessibility, and overall experience of AI-driven systems. As artificial intelligence continues to advance, designing intuitive and user-centric interfaces becomes essential to maximize engagement, efficiency, and trust. This paper explores the fundamental principles o...

Independent algorithm audits hold the promise of bringing accountability to automated decision-making. However, third-party audits are often hindered by access restrictions, forcing auditors to rely on limited, low-quality data. To study how these limitations impact research integrity, we conduct audit simulations on two realistic case studies for...

Emotion recognition and generation have emerged as crucial topics in Artificial Intelligence research, playing a significant role in enhancing human-computer interaction within healthcare, customer service, and other fields. Although several reviews have been conducted on emotion recognition and generation as separate entities, many of these works...

Gait recognition (GR) has emerged as a significant biometric identification technique, leveraging an individual's walking pattern for various applications such as surveillance, forensic analysis, and person identification. Despite its non-intrusive nature, GR systems face challenges due to their sensitivity to pose variations, limiting functionalit...

In the realm of autonomous vehicles, society is undergoing a transition from conventional human-driven vehicles to autonomous driving systems. Therefore, there is an increasing demand for vehicles integrated with assistive driving systems. This pilot study designed to explore which type of driving system reminders, namely Text display, Image displa...

Face recognition has attracted a lot of interest in the fields of computer vision and pattern recognition given its extensive applications in security, surveillance, and human-computer interaction. Many linear and non-linear classifiers have been introduced to bring about effectiveness in face recognition, however, the problem of occlusion, light c...

Recognizing human actions through video analysis has gained significant attention in applications like surveillance, sports analytics, and human–computer interaction. While deep learning models such as 3D convolutional neural networks (CNNs) and recurrent neural networks (RNNs) deliver promising results, they often struggle with computational ineff...

Examining remote virtual audiences is a vital part of understanding social experiences in modern human–computer interaction contexts. Doing so raises intriguing questions about how these mediated connections relate to emotional and physiological states. The vagus nerve is central to socioemotional processing and physiological well-being, with its a...

The advent of AI tools, such as Large Language Models, has introduced new possibilities for Qualitative Data Analysis (QDA), offering both opportunities and challenges. To help navigate the responsible integration of AI into QDA, we conducted semi-structured interviews with 15 HCI researchers experienced in QDA. While our participants were open to...

In the field of human-computer interaction and psychological assessment, speech emotion recognition (SER) plays an important role in deciphering emotional states from speech signals. Despite advancements, challenges persist due to system complexity, feature distinctiveness issues, and noise interference. This paper introduces a new end-to-end (E2E)...

This study investigates the integration, usability, and learning patterns associated with voice assistant technology among older adults, focusing on the “Amazon Echo Show 10, 3rd generation” as a case study. Conducted with 32 participants aged 55 and above in senior and complementary households, this research employs a mixed-method approach, incorp...