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Eye tracking en factores Humanos Q1 2024

La tecnología Eye tracking ha hecho avanzar significativamente la investigación sobre factores Humanos en el 1T 2024 al proporcionar información objetiva sobre las preferencias de los usuarios, la distribución de la atención y los procesos cognitivos. Los estudios han utilizado el eye tracking para valorar el diseño de robots humanoides, evaluar las señales de seguridad en la construcción y comprender las estrategias de inspección visual. Esta metodología ofrece datos precisos sobre la atención visual, lo que mejora el diseño y la seguridad de las interacciones hombre-máquina en diversos ámbitos.

Usability of eye trackers as tools for designers of anastylosis

Marta Rusnak, Zofia Koszewicz & Aleksandra Brzozowska-Jawornicka

Eye trackers are more and more often employed by scientists willing to learn more about how cultural heritage is perceived. However, designers very seldom make use of this technology, primarily perhaps due to its expensive and time-consuming nature. By choosing not to employ eye trackers they limit themselves to their own ideas and choices, at the same time forfeiting all the potential advantages of social consultations with non-professionals. One can easily imagine that their work and its effects would only benefit should a way be found to make eye-trac...

Autoencoder-enabled eye-tracking data analytics for objective assessment of user preference in humanoid robot appearance design

Fan Li, Chun-Hsien Chen, Yisi Liu, Danni Chang, Jian Cui & Olga Sourina

Humanoid robots have been extensively utilized in service industries to provide information and product delivery through direct interactions with users. As the design of humanoid robot appearance significantly impacts human-robot interactions, it is crucial to assess user preference towards it. Traditional evaluation tools, such as surveys, field observations, and interviews, are often time-consuming and subjective. Therefore, this study aims to develop a novel eye-tracking-based assessment tool to investigate user preference towards humanoid robot appea...

Towards Automated Decision Making in Dating Apps Through Pupillary Responses

Jan Ehlers, Sebastian Alfonso & Arup Mazumder

Decision making is a multi-stage process that involves a series of rational evaluations. Recently, bodily arousal has been identified as a factor that mediates individual decisions, particularly during partner selection. The current study investigates pupil size changes in response to facial images of the opposite sex from controlled eye-tracking data (Experiment 1) and by reading out signals from front-facing smartphone cameras in noisy environments (Experiment 2). The aim is to enable automated decision-making in dating apps using arousal-based informa...

Novel Gesture-Based Robot Programming Approach with the Ability of Code Reuse

Vladyslav Andrusyshyn, Kamil Židek, Vitalii Ivanov & Ján Piteľ

Nowadays, there is a worldwide demand to create new, simpler, and more intuitive methods for the manual programming of industrial robots. Gestures can allow the operator to interact with the robot more simply and naturally, as gestures are used in everyday life. The authors have developed and tested a gesture-based robot programming approach for part-handling applications. Compared to classic manual programming methods using jogging and lead-through, the gesture control method reduced wasted time by up to 70% and reduced the probability of operator error...

    Visual inspection problem-solving strategies at different experience levels

    Levi Swann, Vesna Popovic & Dedy WiredjaInternational Journal of Human–Computer Interaction

    Airport security screening is a visual inspection task comprising search and decision. Problem solving is used to support decision making. However, it is not well understood. This study investigated how airport security screeners employ problem solving during x-ray screening, and how strategies change with experience. Thirty-nine professional security screeners were observed performing x-ray screening in the field at an Australian International Airport. Video and eye-tracking data were collected and analysed to explore activity phases and problem-solving...

    Emotion-matched in-vehicle assistants: an exploration in regulating drivers incidental emotions and enhancing takeover performance and situational awareness

    Yu Zhao, Kang Jiang, Zhenhua Yu & Zhipeng Huang

    In conditional autonomous driving, drivers are prone to experiencing incidental emotions during non-driving tasks, which are unrelated to driving decisions but may have negative effects on drivers' takeover performance. Voice assistants have been shown to regulate incidental emotions. Therefore, this study endowed the in-vehicle assistant with emotional voice capability, matching the emotional state of the driver in conditional autonomous driving, in order to explore the effect of regulating incidental emotions. Forty participants were enrolled in a driv...

    Impact of risk preferences on evacuee behavior and attention distribution in urban underground space evacuations

    Yixuan Wei, Yixing Zhang, Yifei Xu, Shu Wang, Jianguo Liu, Longzhe Jin, Shengnan Ou, Song Pan & Yiqiao Liu

    Evacuation and conducting emergency rescue operations in underground spaces pose substantial challenges. However, limited work has been done to investigate how evacuees’ heterogeneity influence the evacuation efficiency. In this study, we conducted virtual environment experiment and on-site experiment to analyze the physical behavior and attention distribution of evacuees with different risk preferences during route selections. A total of 30 participants were clustered into three groups: Risk Averter (RA), Risk Neuter (RN) and Risk Seeker (RS), based on ...

    Connecting the dots: Exploring brain connectivity during responsibility recognition in construction contract negotiations

    Xinyan Wei & Pin-Chao Liao

    Despite recent advancements in monitoring brain activity, causal relationships within the brain during responsibility identification in construction contracts remain unexplored. We aimed to understand the neural mechanisms involved in the cognitive components and their interactions related to contract text reading by delving into the brain mechanisms of contract responsibility identification. This study investigated students’ brain connectivity using electroencephalography (EEG) data during a text-based contract responsibility-identification task. It emp...

    Determining the Effectiveness of Construction Safety Signs: An Eye-Tracking Study

    Minghao Dong, Mark Lehto & Behzad Esmaeili

    Warning signs are a critical defense against construction accidents; however, there’s a lack of study on the effectiveness of construction signs. Therefore, this research examines the effectiveness of signs on construction sites by considering variables such as noticeability and comprehension. Noticeability relates to the signs’ ability to attract attention, whereas comprehension refers to understanding them. In this study, comprehension is related to eye movement metric total fixation duration, while noticeability is related to visit count within an are...

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    Support Vector Machine Analysis of Construction Workers’ Automatic Behavior and Visual Attention

    Ikechukwu Sylvester Onuchukwu, Behzad Esmaeili & Sébastien Hélie

    Automaticity is a core attribute of skill that is achieved as the attentional requirement gradually diminishes as proficiency increases with practice or repeated execution of a task. Hence, it is a phenomenon that affects workers’ performance both positively (e.g., productivity) and negatively (e.g., accident involvement). Nevertheless, despite its significance, little is known about the effects of automaticity in the construction industry. To address this knowledge gap, this study used eye-tracking technology to examine the effects of automaticity on at...

    Eye Gaze and Hand Gesture-Driven Human-Robot Interaction in Construction

    Xin Wang, Dharmaraj Veeramani, Fei Dai & Zhenhua Zhu

    Construction robots are a powerful driving force to enable intelligent processes in construction. User-friendly interfaces to support human-robot work collaboration are critical for increasing adoption of robots. Among different interfaces, eye gaze and hand gesture are effective and reliable interaction cues in the noisy construction environment. This paper proposes a novel context-aware method, which integrates eye tracking and gesture recognition for human-robot collaboration in construction. The proposed method employs a two-stream network architectu...

    Pioneering Research on a Neurodiverse ADHD Workforce in the Future Construction Industry

    Woei-Chyi Chang, Joshua Ismael Becerra, Sarah L. Karalunas, Behzad Esmaeili, Lap-Fai Yu & Sogand Hasanzadeh

    While incorporating novel technologies aims to facilitate the inclusion of the future construction industry, the empirical investigation of diverse workers’ performance is necessary to better understand the strategies to broaden their participation. The literature has rarely focused on inclusivity in terms of involving workers with various disabilities in the construction sector. Thus, this study aims to pioneer the discussion on inclusivity in construction by focusing on workers with attention-deficit/hyperactivity disorder (ADHD). A future bricklaying ...

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    Examining the Impact of Aging on Workers’ Hazard Identification Ability in Dynamic Construction Environments

    Kyeongsuk Lee & Sogand Hasanzadeh

    Given that the construction workforce is aging, managing their safety at jobsites has become increasingly crucial for the construction industry. While the effect of aging on situational awareness has been extensively discussed in various fields, no study empirically examined the impact of aging on construction workers’ hazard identification. Thus, this study utilized eye-tracking technologies to investigate the effects of aging on workers’ hazard identification performance and attentional distribution abilities. The results indicated that aging negativel...

    Visual Perception Optimization of Residential Landscape Spaces in Cold Regions Using Virtual Reality and Machine Learning

    Xueshun Li, Kuntong Huang, Ruinan Zhang, Yang Chen & Yu Dong

    The visual perception of landscape spaces between residences in cold regions is important for public health. To compensate for the existing research ignoring the cold snow season’s influence, this study selected two types of outdoor landscape space environments in non-snow and snow seasons as research objects. An eye tracker combined with a semantic differential (SD) questionnaire was used to verify the feasibility of the application of virtual reality technology, screen out the gaze characteristics in the landscape space, and reveal the design factors r...

    Human gaze prediction for 3D light field display based on multi-attention fusion network

    Meng Zhao, Binbin Yan, Shuo Chen, Xiao Guo, Ningchi Li, Duo Chen, Kuiru Wang & Xinzhu Sang

    Existing methods for simulating human visual attention primarily focus on 2D displays and limited research has been conducted on predicting visual attention in three-dimensional (3D) light field content. 3D light field displays provide a heightened sense of stereoscopic realism to viewers. To ensure that the content of the 3D light field display appears more consistent with human visual characteristics, we proposed a novel method for predicting human eye fixation in 3D light field display images. Firstly, we collected real eye movement data and utilized ...

    Applying Kansei Engineering and Eye Movement to Packaging Design Elements—A Case of Tea Packaging Design

    Shuai Wang, Lei Wang, Chudi Mou, Guoling Fan, Yue Zhang, Yi Jiang, Xuying Liu & Hui Li

    Excellent tea packaging design wins customers and enhances branding. This report studies tea packaging design elements and gives designers constructive references to efficiently improve tea packaging design. The authors of this study first obtained consumers' perception of tea packaging through card sorting and semantic differential (SD). Second, the consumers' Kansei dimensions were extracted by Procrustes analysis (PA). Third, eye tracking technology thoroughly analysed the consumers' eye movement indexes. This technology analysed eye moment as the sub...

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    Human States and Nonverbal Cues in Multi-party Facilitation: A Statistical Perspective

    Jouh Yeong Chew & Isuru Jayarathne

    Facilitation robots and agents play a significant role in enhancing the engagement and harmony level during social interactions. However, it is difficult for these intelligent systems to understand human states without humans wearing dedicated sensing devices to measure EEG or ECG responses, thus making implementations in the wild challenging. Non-verbal cues such as body language, gaze interaction, and voice activity could provide promising solutions because they implicitly represent the internal states of humans. This study explores the correlation bet...

    In Gaze We Trust: Comparing Eye Tracking, Self-report, and Physiological Indicators of Dynamic Trust during HRI

    Yinsu Zhang, Aakash Yadav, Sarah K. Hopko & Ranjana K Mehta

    Technical advances in shared-space collaborative robotics have placed recent attention on trust in robots to ensure operator safety as well as to optimize human-robot interactions (HRI). Commonly measured using self-reports, our study explores if eye tracking or physiological indicators offer greater sensitivity in capturing dynamic trust during HRI. We investigated operators' trust dynamics (i.e., early and late trust build, breach, repair) across 2 different robot reliability levels (100% and 76% reliability). Trust ratings, fixation counts, and gaze t...

    Unlocking Potentials of Virtual Reality as a Research Tool in Human-Robot Interaction: A Wizard-of-Oz Approach

    Andre Helgert, Carolin Straßmann & Sabrina C. Eimler

    Wizard-of-Oz (WoZ) systems represent a widespread method in HRI research. While they are cost-effective, flexible and are often preferred over developing autonomous dialogs in experimental settings, they are typically tailored to specific use cases. In addition, WoZ systems are mainly used in lab studies that deviate from real world scenarios. Here, virtual reality (VR) can be used to immerse the user in a real world interaction scenario with robots. This article highlights the necessity for a modularized and customizable WoZ system, using the benefits o...

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    Study on physiological representation of passenger cognitive comfort: An example with overtaking scenarios

    Haolan Meng, Xingyu Zhao, Junyi Chen, Bin Wang & Zhuoping Yu

    During autonomous driving, the subjective cognition of scenario risks may lead to cognitive discomfort of occupants. This is a new concept of ride comfort for vehicles, which is being included in the performance evaluation of autonomous vehicles. The observation methods, generation mechanisms, prediction methods, and optimization methods of this cognitive discomfort remain to be explored. In order to quantify the risk cognition of passengers and evaluate cognitive comfort, this paper proposes a physiological representation method using overtaking scenari...

    A Quality of Experience and Visual Attention Evaluation for 360° videos with non-spatial and spatial audio

    Amit Hirway, Yuansong Qiao & Niall Murray

    This article presents the results of an empirical study that aimed to investigate the influence of various types of audio (spatial and non-spatial) on the user quality of experience (QoE) of and visual attention in 360° videos. The study compared the head pose, eye gaze, pupil dilations, heart rate, and subjective responses of 73 users who watched ten 360° videos with different sound configurations. The configurations evaluated were no sound; non-spatial (stereo) audio; and two spatial sound conditions (first- and third-order ambisonics). The videos cove...

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    Does participatory design lead to safer human-machine interaction? Efficiency and distraction with truck dashboards designed by drivers

    Mathilde François, Alexandra Fort, François Osiurak, Philippe Crave & Jordan Navarro

    In the field of in-vehicle interaction design, three concepts of dashboards were compared in terms of efficiency and distraction. The concepts were defined using three design processes differing in level of user involvement: User-Centered Design (UCD) and two different Participatory Design (PD) methods. In the industry, there is a trend towards more and more user involvement in design, yet there is a deficiency of empirical and rigorously substantiated evidence supporting this shift. Furthermore, certain advantages are universally associated with Partici...

    Examining Limits of Small Multiples: Frame Quantity Impacts Judgments with Line Graphs

    Helia Hosseinpour, Laura E. Matzen, Kristin M. Divis, Spencer C. Castro & Lace Padilla

    Small multiples are a popular visualization method, displaying different views of a dataset using multiple frames, often with the same scale and axes. However, there is a need to address their potential constraints, especially in the context of human cognitive capacity limits. These limits dictate the maximum information our mind can process at once. We explore the issue of capacity limitation by testing competing theories that describe how the number of frames shown in a display, the scale of the frames, and time constraints impact user performance with...

    A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

    Ce Liang, Jun Zhu, Jinbin Zhang, Qing Zhu, Jingyi Lu, Jianbo Lai & Jianlin Wu

    It is essential to establish a digital twin scene, which helps to depict the dynamically changing geographical environment accurately. Digital twins could improve the refined management level of intelligent tunnel construction; however, research on geographical twin models primarily focuses on modeling and visual description, which has low analysis efficiency. This paper proposes a knowledge-guided intelligent analysis method for the geometric deformation of tunnel excavation profile twins. Firstly, a dynamic data-driven knowledge graph of tunnel excavat...

    Driving Distraction Evaluation Model of In-Vehicle Infotainment Systems Based on Driving Performance and Visual Characteristics

    Binjue Wang, Qing Xue, Xiaonan Yang, Xuanzhu Wan, Yahui Wang & Cheng Qian

    With the rapid development of automotive electronic technology, increasingly car enterprises choose to carry touchscreen in-vehicle infotainment systems (IVISs) in smart cars. The integration of navigation, music, telephone, and other functions into touchscreen IVISs has greatly enriched the driving experience. However, the design of touchscreen IVISs, which lacks consideration of driver human–computer interaction leads to increased driving distraction. The current discussion is limited to evaluating the overall distractions of the secondary task, and th...

    Audio-visual saliency prediction for movie viewing in immersive environments: Dataset and benchmarks

    Zhao Chen, Kao Zhang, Hao Cai, Xiaoying Ding, Chenxi Jiang & Zhenzhong ChenInternational Conference on Information Systems Development Proceedings of the 33rd International Conference on Information Systems Development

    n this paper, an eye-tracking dataset of movie viewing in the immersive environment is developed, which contains 256 movie clips with 2K QHD resolution and corresponding movie genre labels from IMDb (Internet Movie Database). The dataset provides the audio-visual clues for studying the human visual attention when watching movie using a VR headset, by recording the eye movements using integrated eye tracker. To provide benchmarks for a saliency prediction for movie viewing in the immersive environment, fifteen computational models are evaluated on the dat...

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    Toward an Intuitive Device for Construction Hazard Recognition Management: Eye Fixation–Related Potentials in Reinvestigation of Hazard Recognition Performance Prediction

    Jiaming Wang, Mingxuan Liang & Pin-Chao Liao

    Developing real-time automatic intuitive devices based on electroencephalography (EEG) to improve hazard recognition performance (HRP) is essential in construction engineering management. However, existing studies generally developed devices based on unimodal data, failing to distinguish the role played by brain activities in different visual areas and ignoring the possible existence of other psychological mechanisms. Therefore, this study aims to use multimodal data based on brain-eye synergy to predict HRP and reveal the cognitive mechanism of hazard r...

    Comparison of clinical geneticist and computer visual attention in assessing genetic conditions

    Dat Duong, Anna Rose Johny, Suzanna Ledgister Hanchard, Christopher Fortney, Kendall Flaharty, Fabio Hellmann, Ping Hu, Behnam Javanmardi, Shahida Moosa, Tanviben Patel, Susan Persky, Ömer Sümer, Cedrik Tekendo-Ngongang, Hellen Lesmann, Tzung-Chien Hsieh, Rebekah L. Waikel, Elisabeth André, Peter Krawitz & Benjamin D. Solomon

    The use of artificial intelligence (AI) for facial diagnostics is increasingly used in the genetics clinic to evaluate patients with potential genetic conditions. Current approaches focus on one type of AI called Deep Learning (DL). While DL- based facial diagnostic platforms have a high accuracy rate for many conditions, less is understood about how this technology assesses and classifies (categorizes) images, and how this compares to humans. To compare human and computer attention, we performed eye-tracking analyses of geneticist clinicians (n = 22) an...

    Influence of visual environments on struck-by hazards for construction equipment operators through virtual eye-tracking

    Juwon Hong, Sangkil Song, Hyuna Kang, Jinwoo Choi, Taehoon Hong & Dong-Eun Lee

    This paper analyzed how different visual environments (i.e., normal, glare, dark, and dusty environments) affect construction equipment operators' struck-by hazards. To achieve this objective, an experiment using eye-tracking technology was conducted in screen-based virtual environments to measure and statistically analyze three types of data affecting struck-by hazards: (i) hazard detection abilities; (ii) eye-tracking data; and (iii) psychological responses. The results revealed that visual environments significantly influenced all types of data, parti...

    Research on the evaluation of signpost design schemes using physiological measurement methods

    pin gao, cuina zhang, xiaoyong cai, yuekun dong & mingyin liu

    We examined young individuals' physiological responses and subjective evaluations toward different signpost design schemes across various conditions. The experimental methodology consisted of physiological measurements and subjective assessments to quantify the young participants' physiological indicators and preference levels toward various signpost design schemes. The experimental results showed significant variations in eye movement indicators and preference levels among the participants across different experimental conditions. In contrast, no variat...

    Enhancing Fixation and Pursuit: Optimizing Field of View and Number of Targets for Selection Performance in Virtual Reality

    Xiaojiao Chen, Xiaoteng Tang, Yonghao Chen, Tengyu Huang, Qinghua Liu, Jinpeng Yang, Wenru Qi & Xiaosong Wang

    Gaze interaction in virtual reality (VR) offers promising advantages in speed and hands-free operation. However, selecting a suitable selection mechanism in VR interfaces with different visual encodings remains a challenge. This research compares two visual input techniques and explores specific visual elements, including field of view (FOV), design style, and number of targets, with the goal of alleviating these problems. The pilot study identifies two search stages, and it also demonstrates a significant effect of FOV on search time. In the formal expe...

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    Designing for Trust: How Human-Machine Interface Can Shape the Future of Urban Air Mobility

    Young Woo Kim & Yong Gu Ji

    This study investigates the influence of human-machine interface (HMI) design on passenger trust in autonomous electric vertical take-off and landing (eVTOL) vehicles. An immersive simulator-based experiment was conducted with 34 participants, exposing them to four HMI conditions: baseline, movement, hazard detection, and full information condition. As related measures of passenger trust, we collected self-reported measures including trust, perceived safety, perceived reliability, and intention to use. In addition, physiological measures including gaze b...

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    Exploring the relationship between library reading space height and user perception: A physiological and subjective analysis

    Mengyan Lin, Wen Lu, Ning Li & Wenying Geng

    As a central functional aspect, the design of library reading spaces should consider users' perceptual experiences to optimize their psychological responses. However, the current literature lacks a rational analysis and definitive guidelines regarding the interior height design of reading rooms. This study focuses on physiological data supplemented by subjective evaluations to explore potential correlations between library reading space height and user perceptions. Specifically, we employed Virtual Reality (VR) to create four experimental scenarios, inve...

    Record, reflect and refine: using video review as an initiative to improve neonatal care

    Veerle Heesters, Henriette A. van Zanten, Veerle Heijstek, Arjan B. te Pas & Ruben S.G.M. Witlox

    Background: The goal of every medical team is to provide optimal care for their patients. We aimed to use video review (VR) sessions to identify and address areas for improvement in neonatal care. Methods: For nine months, neonatal procedures (stabilization at birth, intubations and sterile line insertions) were video recorded and reviewed with the neonatal care providers. Action research was used to identify and address areas for improvement which were categorized as (1) protocol/equipment adjustments, (2) input for research, (3) aspects of variety, or ...

    Why individuals do not use emergency exit doors during evacuations: A virtual reality and eye-tracking experimental study

    Meiqing Fu, Rui Liu & Qipeng Liu

    Despite being purposefully designed and strategically placed in buildings to facilitate efficient evacuation, emergency exit doors are frequently underutilized during evacuations. To address this issue, this study explores why individuals often fail to use emergency exit doors during evacuations via a virtual reality and eye-tracking experimental study and investigates human emergency wayfinding behaviors through the lens of perceptions and attention. The results show that individuals’ attention to wayfinding clues is positively related to their exit cho...

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    Real-time eye tracking for password testimony

    Navitha, Neha, Pratibha, Manoj Murthy, Aruna Kumara, Navitha, Neha & Pratibha

    The scope of this project is achieving privacy by providing security, this process include training and authenticating genuine user at every login time we use a need to satisfy credentials this process include capturing and tracking human eye as an identification saving in the data base. This action includes automation by eliminating manual.

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    Effects of anthropomorphic design on comprehension of self-monitoring test results: Integrating evidence of eye-tracking and event-related potential

    Pengbo Su & Kaifeng Liu

    Objective: To investigate the effects of anthropomorphism design on individuals’ comprehension of self-monitoring test results. In addition, we employed eye-tracking and event-related potential techniques to explore the underlying mechanisms. Materials and Methods: A within-group design was employed with presentation format (black-and-white neutral design, black-and-white anthropomorphic design, and colored anthropomorphic design) as independent variable. A total of 30 graduate students participated in an experiment in which they were instructed to perfo...

    Assessment of Pilots’ Cognitive Competency Using Situation Awareness Recognition Model Based on Visual Characteristics

    Shaoqi Jiang, Ruifang Su, Zhenzhen Ren, Weijiong Chen & Yutao Kang

    Visual characteristics have the potential to assess the navigational proficiency of ship pilots. A precise assessment of ship piloting competence is imperative to mitigate human errors in piloting. An exhaustive examination of cognitive capabilities plays a pivotal role in developing an enhanced and refined system for classifying, selecting, and training ship piloting proficiency. Insufficiency in situation awareness (SA), denoting the cognitive underpinning of hazardous behaviors among pilots, may lead to subpar performance in ship pilotage when faced w...

    Experiment data: Human-in-the-loop decision support in process control rooms

    Chidera Winifred Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Houda Briwa, Andres Alonso Perez, Gabriele Baldissone, Micaela Demichela, Davide Fissore, Anders L. Madsen & Maria Chiara LevaFrontiers in Public Health

    These datasets contain measures from multi-modal data sources. They include objective and subjective measures commonly used to determine cognitive states of workload, situational awareness, stress, and fatigue using data collection tools such as NASA-TLX, SART, eye tracking, EEG, Health Monitoring Watch, a survey to assess training, and a think-aloud situational awareness assessment following the SPAM methodology. Also, data from a simulation formaldehyde production plant based on the interaction of the participants in a controlled control room experimen...

    Lane-change intention recognition considering oncoming traffic: Novel insights revealed by advances in deep learning

    Hao Liu, Tao Wang, Wenyong Li, Xiaofei Ye & Quan Yuan

    Lane-changing (LC) intention recognition models have seen limited real-world application due to a lack of research on two-lane two-way road environments. This study constructs a high-fidelity simulated two-lane two-way road to develop a Transformer model that accurately recognizes LC intention. We propose a novel LC labelling algorithm combining vehicle dynamics and eye-tracking (VEL) and compare it against traditional time window labelling (TWL). We find the LC recognition accuracy can be further improved when oncoming vehicle features are included in t...

    Experimental study on obstacle visibility and driving safety in lighting environment of road tunnel interior zone

    Shouzhong Feng, Wei Gao, Long Zhou, Jie Li, Weixing Mao & Xianling Liu

    Traditional tunnel lighting luminance is obtained from the static observation experiments for an obstacle without consideration of the visual characteristics of human eyes in dynamic state. The visual performances of human eyes during vehicle moving are quite different from those in static condition. Therefore, the influence of vehicle speed on the visible distance of human eyes for an obstacle in tunnel interior zone was experimentally analyzed in this study. Then, the visible distance was compared with the stopping distance specified in the current lig...

    The effects of representation of industrial icons on visual search performance

    Jiang Shao, Yuhan Zhan, Hui Zhu, Mingming Zhang, Lang Qin, Shangxin Tian & Hongwei Qi

    With innovations in intelligent manufacturing technology and the enhancement of intelligent manufacturing systems, the quantity of information held and transmitted by interactive interfaces has increased significantly, which also increases the cognitive load on the operators. As a component of an interactive interface, the icon has the vital mission of communicating semantics. The eye-movement experiments were conducted to research the effects of visual representations of industrial icons on search performance. The results show that the visual search per...

    Examining the Differences of Perceptions and Experience with Online Health Information Accessibility between Deaf and Hearing Individuals: A Qualitative Study

    P. Paul Chandanabhumma, Samantha Ratakonda, Tiffany Panko, Jessica Cuculick, Peter Hauser, Michael K. Paasche-Orlow, Michael D. Fetters & Michael M. McKee

    Describe and compare the experiences and preferences of Deaf and hearing individuals with different levels of health literacy in accessing, interpreting, and acting upon online health information. We conducted semi-structured interviews with 17 Deaf and 10 hearing participants with high and low health literacy from three healthcare sites. We conducted thematic analysis of the transcripts to explore information navigation experiences, information sources and dissemination preferences. We found thematic differences between Deaf and hearing participants wit...

    Perceptual Quality Assessment of Omnidirectional Images: A Benchmark and Computational Model

    Xuelin Liu, Jiebin Yan, Liping Huang, Yuming Fang, Zheng Wan & Yang Liu

    Compared with traditional 2D images, omnidirectional images (also referred to as 360° images) have more complicated perceptual characteristics due to the particularities of imaging and display. How humans perceive omnidirectional images in an immersive environment and form the immersive quality of experience are important problems. Thus, it is crucial to measure the quality of omnidirectional images under different viewing conditions, which suffer from realistic distortions. In this paper, we build a large-scale subjective assessment database for omnidir...

    Getting back in the loop: Does autonomous driving duration affect drivers takeover performance?

    Arthur Portron, Gaëtan Perrotte, Guillaume Ollier, Clément Bougard, Christophe Bourdin & Jean-Louis Vercher

    The level 3 autonomous driving function allows the driver to perform non-driving-related tasks such as watching movies or reading while the system manages the driving task. However, when a difficult situation arises, the driver is requested to return to the loop of control. This switching from driver to passenger then back to driver may modify the driving paradigm, potentially causing an out-of-the-loop state. We tested the hypothesis of a linear (progressive) impact of various autonomous driving durations: the longer the level 3 autonomous function is u...

    How flight experience impacts pilots’ decision-making and visual scanning pattern in low-visibility approaches: preliminary evidence from eye tracking

    Shan Gao & Lei Wang

    The visual approach is the most accident-prone phase of a flight, especially in low-visibility conditions. This preliminary study aimed to examine the effects of flight experience on pilots’ decision-making and visual scanning pattern in low-visibility approaches. Twenty pilots were separated into two groups based on their flight experience and completed the high- and low-visibility approaches in balanced order using a high-fidelity flight simulator. Pilots’ mental workload and visual scanning patterns were recorded via an eye tracker. The results showed...

    Effects of In-Vehicle Touchscreen Location on Driver Task Performance, Eye Gaze Behavior, and Workload During Conditionally Automated Driving: Nondriving-Related Task and Take-Over

    Gayoung Ban & Woojin Park

    This study investigated the effects of nondriving-related task (NDRT) touchscreen location and NDRT difficulty level on the driver task performance, eye gaze behavior, and workload during SAE Level 3 conditionally automated driving. Two driver tasks were considered: a visuomanual NDRT and a take-over task.

    Individualized foveated rendering with eye-tracking head-mounted display

    Jihwan Kim, Jejoong Kim, Myeongul Jung, Taesoo Kwon & Kwanguk Kenny Kim

    Foveated rendering (FR) technology is designed to improve the efficiency of graphical rendering processes. In rendering, individualized approaches can help to balance users’ experiences of visual quality and saving computational resource. However, previous studies have not rigorously examined it related with the FR techniques. To address this issue, we developed an individualized FR (IFR) method using different central vision sizes and peripheral vision resolutions across individuals in virtual reality. In three user studies with 88 participants who were...

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    The Influence of Input Method and Chinese Character Complexity on the Elderly Using Smartphones to Input Information – A Study from China

    Yixuan Liu, Jinchun Wu, Xiaoyu Wang, Chen Pan, Zihe Chen & Chengqi Xue

    The usage of smartphones holds paramount importance in enhancing the ability of elderly people to live independently. This research aims to explore the various scenarios in which Chinese elderly people employ smartphones for information input, and how input method and Chinese character complexity affect their information input process. To achieve this, we conducted semi-structured interviews to investigate typical situations where Chinese elderly individuals use smartphones to input information. Based on the survey results, we devised an experiment to as...

    Understanding Cognitive Anticipatory Process in Dynamic Hazard Anticipation Using Multimodal Psychophysiological Responses

    Kyeongsuk Lee & Sogand Hasanzadeh

    Given the dynamic and complex nature of a construction jobsite, workers’ safety is significantly connected to both their ability to efficiently scan their surrounding environment and their ability to anticipate and identify potentially hazardous sources in a timely manner. However, existing studies have failed to consider the spatial-temporal characteristics of high-risk construction hazards as well as the limited training available for enhancing workers’ hazard anticipation. Accordingly, this study (1) examines the impact of dynamic hazards’ spatiotempo...

    Methodology and Experimental Protocol for Studying Learning and Motor Control in Neuromuscular Structures in Pilates

    Mário José Pereira, Alexandra André, Mário Monteiro, Maria António Castro, Rui Mendes, Fernando Martins, Ricardo Gomes, Vasco Vaz & Gonçalo Dias

    The benefits of Pilates have been extensively researched for their impact on muscular, psychological, and cardiac health, as well as body composition, among other aspects. This study aims to investigate the influence of the Pilates method on the learning process, motor control, and neuromuscular trunk stabilization, specifically in both experienced and inexperienced practitioners. This semi-randomized controlled trial compares the level of experience among 36 Pilates practitioners in terms of motor control and learning of two Pilates-based skills: standi...

    Understanding distracted pedestrians’ risky behaviour: The role of walking and visual characteristics through a field study

    Kudurupaka Vamshi Krishna, Rudra Kapruwan & Pushpa Choudhary

    Use of mobile phones while crossing the road has become a growing safety concern among pedestrians. Though recently, some studies have attempted to understand risky behaviour of distracted pedestrians by analyzing impacts of distraction on pedestrians’ walking and visual characteristics, the impacts were measured individually. Moreover, most of the existing findings are based on lab-based experiments, whereas the real-world conditions are quite dynamic in nature. Hence, to overcome these gaps, the current study aims to understand to what extent different...

    Pedal towards Safety: The Development and Evaluation of a Risk Index for Cyclists

    Lama Ayad, Hocine Imine, Claudio Lantieri & Francesca De Crescenzio

    Cyclists are at a higher risk of being involved in accidents. To this end, a safer environment for cyclists should be pursued so that they can feel safe while riding their bicycles. Focusing on safety risks that cyclists may face is the main key to preserving safe mobility, reducing accidents, and improving their level of safety during their travel. Identifying and assessing risk factors, as well as informing cyclists about them may lead to an efficient and integrated transportation system. Therefore, the purpose of this research is to introduce a risk i...

    Toward an Interactive Reading Experience: Deep Learning Insights and Visual Narratives of Engagement and Emotion

    Jayasankar Santhosh, Akshay Palimar Pai & Shoya IshimaruLecture Notes in Information Systems and Organisation Technology Driven Transformation

    Engagement and emotion are critical components that significantly influence a reader’s experience during a reading task. Despite the crucial role of engagement and emotions in shaping our reading experience, accurately tracking these dynamic states during actual reading remains a significant challenge. This study bridges this gap by detecting engagement and emotion levels during a reading task by leveraging the power of state-of-the-art deep learning models and investigating the correlations between the engagement levels and emotions. An experiment was c...

      Continuous Prediction of Pointing Targets With Motion and Eye-Tracking in Virtual Reality

      Choongho Chung & Sung-Hee LeeLecture Notes in Information Systems and Organisation Technology Driven Transformation

      We present a study on continuously predicting the direction to a pointing target in virtual environments using motion and eye-tracker data throughout the pointing process. We first collect time series data for user motion and eye-tracker in a cursorless, single-target pointing task. Results from analyzing fixation points from different sensors and observing velocity profiles over the course of pointing provide insights into optimally configuring features for predicting the target angles. Following this analysis, we train a recurrent neural network that f...

      • Tobii VR

      Human–Machine Shared Lateral Control Strategy for Intelligent Vehicles Based on Human Driver Risk Perception Reliability

      Dongjian Song, Bing Zhu, Jian Zhao & Jiayi Han

      Intelligent vehicle (IV) technology has developed rapidly in recent years. However, achieving fully unmanned driving still presents numerous challenges, which means that human drivers will continue to play a vital role in vehicle operation for the foreseeable future. Human–machine shared driving, involving cooperation between a human driver and an automated driving system (AVS), has been widely regarded as a necessary stage for the development of IVs. Focusing on IV driving safety, this study proposed a human–machine shared lateral control strategy (HSLC...

      Investigating effect of standardized total body skin examination using sequence-networks

      Snehal Dhengre, Hannah Nam, Matthew Helm & Ling RothrockInternational Journal of Human–Computer Interaction

      This study employs sequence-network analysis to investigate the influence of instructing a standardized procedure on total-body skin examination (TBSE) performance. A between-subjects study was conducted with thirty-one participants comprising medical students and attending physicians. Among these participants, fifteen were randomly assigned to the uninstructed group and sixteen to the instructed group. The participants' gaze and field of view were recorded using eye tracking glasses while performing TBSE on a male and a female standardized patient. The ...

      Real-time eye tracking using representation learning and regression

      Dharbaneshwer Sj, Gayathri Sowmya G, Sumit Singh Chauhan, Bharat Singh Shekhawat, Lava Kumar & Soumitra Ghosh

      Eye gaze serves as a primary indicator in identifying the human interest and attention for human-computer interaction (HCI) studies. Most of the eye tracking technologies uses either specialized hardware or requires large number of calibration images to provide accurate results. Although real-time eye tracking approaches are proposed in the literature, most of these approaches use eye attributes such as pupil center and eye-lid for gaze estimation. These features are not robust, sensitive to even minor illumination changes and varies from person-to-perso...

      Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization

      Weilian Li, Jun Zhu, Qing Zhu, Jinbin Zhang, Xiao Han & Youness Dehbi

      Efficient geovisualization is beneficial for understanding geospatial phenomena, an important research direction for GISers and Cartographers. However, the current research on geovisualization overemphasizes the visual effects while neglecting the prominent representation of crucial information and failing to consider the user’s cognitive workload of information processing. Following the laws of visual perception of the human eyes, this article proposes a visual attention-guided augmented representation approach of geographic scenes that involves area of...

      Multimodal Quantitative Research on the Emotional Attachment Characteristics between People and the Built Environment Based on the Immersive VR Eye-Tracking Experiment

      Ruoshi Zhang, Weiyue Duan & Zhikai Zheng

      The campus landscape contributes a lot to students’ mental and physical health. Students’ emotional attachment to landscape space is an important scientific basis for landscape design. This study used immersive virtual reality eye tracking supported by HTC Vivo Pro and an emotional attachment scale to investigate the relationship between different landscape elements and students’ visual behavior and emotional attachment. ErgoLab and SPSS were used to analyze the indicators. The results showed that: (1) Artificial elements were more likely to attract stud...

      • Tobii VR

      Cognitive task analysis-driven intelligent steering wheel interaction design

      Fang You, Yaru Li, Qianwen Fu & Jun Zhang

      With the increasing levels of intelligence and automation, the relationship between humans and vehicles has evolved from a utilitarian perspective to a partnership. Among the crucial factors for enhancing user experiences are the analysis of driving tasks, the construction of user needs models, and the design of intelligent interfaces. Based on this background, this paper proposes a cognitive task analysis model using intelligent steering wheel information interaction design as the vehicle. The model aims to extract key design elements to assist designer...

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