AHFE Open AccessAccessibility, Assistive Technology and Digital Environments
Editors: Matteo Zallio
Topics: Human Factors and Assistive Technology
ISBN: 978-1-964867-78-6
DOI: 10.54941/ahfe1007221
Table of Contents
Foldness: A Measurement Index for Building Facade Richness in Old Residential Areas and Evaluation of Urban Spatial Vitality
This paper proposes the Foldness indicator system for quantifying the building façade richness in old residential areas, including Foldness Index (F), Average Depth (AD), and Coefficient of Variation of Depth (). These three parameters respectively characterize the frequency of facade contour changes, the amplitude of setbacks and protrusions, and the regularity of the form. Taking Wuhan’s Wucai Zhengxiang as a case study, this research combines laser distance measurements with time-segmented behavioural observations to explore the relationship between this indicator system and community vitality. The findings indicate that the three indices effectively differentiate the morphological characteristics of traditional brick-wood buildings (orderly richness), mixed-type buildings (disorderly complexity), and modern renovated buildings (flattening). The index of F shows significant correlation with spatial vitality; together with , it explains nearly 70% of the variance in vitality. Foldness affects spatial vitality through three pathways: visual attraction, support for edge spaces, and positive perceptions generated by moderate complexity. Sheltered nodes (e.g., under canopies) often become all-weather social gathering spots. This research suggests that Foldness can serve as an effective tool for urban spatial quality evaluation and management towards more inclusive and sustainable urban neighbourhood rehabilitation.
Huimin Xie, Chenyang Mao, Wenjian Pan
Open Access
Article
Conference Proceedings
Echo: A Human–Computer Collaborative Design of an Intelligent Object-Finding System for the Visually Impaired
Locating everyday objects independently remains a persistent challenge for visually impaired individuals. Existing assistive tools often provide limited functionality, such as audio cues or object labeling, but rarely support both object recognition and retrieval. The key design challenge is developing an object-finding system that aligns with non-visual cognition and interaction habits.This study proposes Echo, an intelligent assistive system integrating AI-based visual recognition, RFID sensing, and multimodal feedback to support object localization and identification in home environments. The system adopts a human–computer collaborative framework consisting of two modules: semantic registration and real-time object finding. The interaction workflow follows three stages: fuzzy retrieval, dynamic guidance, and terminal confirmation. AI visual recognition identifies distinct objects and provides voice-guided navigation, while RFID tags enable rapid identification of visually similar items such as documents or medicine bottles.The research was conducted in three phases: user interviews and home observations (N = 12), prototype development, and usability evaluation with 20 visually impaired participants performing standardized object-finding tasks in a simulated home environment. Results indicate that Echo improved task efficiency and success rates. The tactile-dominant wristband interface with vibrotactile feedback reduced learning costs and supported spatial awareness during navigation.The findings highlight the value of human factors–oriented design in intelligent assistive technologies and demonstrate how human–computer collaboration can enhance autonomy for visually impaired users.
Muxi Liu, Sihan Zhao
Open Access
Article
Conference Proceedings
SeeBeyond: An AI-Powered Mobile AR System for Context-Aware Color Assistance
People with color vision deficiency (CVD) face challenges in perceiving and distinguishing colors. Existing assistive approaches primarily rely on technical color correction and visual feature substitution. However, these methods often lack contextual awareness, intuitiveness, and universality, making it difficult to effectively support users' cognition and decision-making in everyday life. To address this issue, this study investigates the real-world needs of people with CVD through questionnaire surveys, semi-structured interviews, and situational simulations. Based on our findings, we propose a Context-Aware Color Interpretation Framework. This framework categorizes daily situations into three hierarchical levels based on task urgency and response requirements: instant decision-making, daily perception, and experience enhancement. Guided by this framework, we designed SeeBeyond, an AI-powered mobile and augmented reality (AR) system. The system integrates real-time color recognition with multi-modal feedback, providing personalized interaction adaptations tailored to the three contextual levels. By instantiating this framework through SeeBeyond, we demonstrate the feasibility of delivering context-aware, multi-modal assistance in everyday scenarios. This work shifts the focus of CVD assistive technologies from mere visual correction to holistic, context-driven cognitive support, providing a novel design paradigm for accessible interaction.
Zixuan Mei, Diwen Liu, Zhuoyue Xu, Jiasi Gao
Open Access
Article
Conference Proceedings
Voluntary Product Accessibility Templates: Who Watches the Watchmen?
Academic libraries rely heavily on third-party electronic resource vendors to deliver databases, discovery platforms, and research tools essential to teaching and scholarship. Accessibility standards in academia continue to rise through legislation, institutional policy, and a growing commitment to inclusive design. Libraries increasingly use Voluntary Product Accessibility Templates (VPATs) to evaluate whether vendor products conform to established accessibility standards. Although VPATs are intended to provide transparency, the authors argue that their current unregulated implementation pose substantial human-factors challenges for librarians responsible for content development and purchasing. Because VPATs often rely on self-reported information, the accuracy of the template depends entirely on the vendor’s commitment to accessibility. The authors explore these issues through a human-centered lens, drawing on interviews with academic librarians, accessibility specialists, and procurement officers. Findings highlight a perception that VPATs, although useful, function more as marketing tools than rigorous accessibility documentation. The authors also identify best-practice strategies and propose human-factors informed recommendations to improve VPAT usefulness in librarians' database selection decisions, such as, clearer structure and standardized language, integrating third-party validation, encouraging vendors to adopt transparent testing methodologies, and developing library focused training materials.
Betsy Tucker, Alisha Rall, Daniel Ireton
Open Access
Article
Conference Proceedings
Blind and Low Vision Users’ Experience with AI-Infused Banking Chatbots: AI-Specific Experience Dimensions and System Usability
Artificial intelligence (AI) infused chatbots have the potential to radically transform the user experience with digital banking for blind and low vision (BLV) users. AI chatbots offer a radically different interaction style. A considerable part of the theories and principles developed for conventional interaction styles becomes less directly applicable. There is limited empirical research on BLV users’ experience (UX) with AI-infused banking chatbots. This study aims to explore the AI-specific UX dimensions as well as the conventional UX dimensions of banking chatbots regarding BLV users. The empirical study includes a usability test, a semi-structured interview, and a perceived usability measurement scale. The participants are selected from BLV adults who actively use digital banking services. Findings reveal that perceived intelligence is closely intertwined with accessibility performance. Failures in screen reader compatibility, navigation clarity, state feedback, and table interpretation not only reduced task success but also diminished trust in the system. Text-heavy chatbot structures supported simple, well-defined tasks more effectively, whereas graphical-heavy designs caused navigational breakdowns despite appearing accessible. Moreover, financial interactions were strongly associated with independence, control, and dignity, highlighting the existential significance of accessibility beyond technical compliance. This study aims to contribute to the literature by identifying AI-specific user experience dimensions in the BLV context, and also to provide designers in the digital banking sector with applicable design recommendations for developing better chatbot interactions for BLV users. This paper presents the preliminary findings of a study that is still ongoing.
Ekin Sözer, Zeynep G Karapars
Open Access
Article
Conference Proceedings
Evaluating the Acceptance of Computer-Assisted Interpreting Tools Using the Technology Acceptance Model
The adoption of Computer-Assisted Interpreting (CAI) tools among professional interpreters remains relatively limited. Factors such as high cognitive load, time pressure, fragmented workflows, and perceived usability challenges contribute to resistance in professional interpreting settings. This study addresses this gap by proposing the development of an Artificial Intelligence (AI)–enhanced CAI tool, designed through a human-centered methodology and evaluated within a framework based on the Technology Acceptance Model (TAM). Beyond a purely technological approach, the research adopts an ergonomic perspective aimed at understanding how interpreters perceive, adopt, and integrate technological tools into their professional practice. Semi-structured interviews were conducted with interpreters from diverse professional backgrounds, experience levels, and age groups. Guided by the TAM constructs — Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Behavioural Intention to use (BI) — the study explores participants’ technological competence, current professional needs, expectations regarding CAI tools, and perceived shortcomings of existing solutions. The interviews indicate that, although interpreters generally view technology as a potentially valuable ally, current tools are perceived as lacking in accuracy, reliability, and cognitive ergonomics. A widespread lack of formal training in technological tools further affects confidence and willingness to adopt new systems. Participants emphasized the need for context-sensitive, high-precision solutions capable of real-time transcription, advanced speech recognition, and automatic glossary generation, while consistently underscoring that artificial intelligence should function as support rather than replacement. Finally, an integrated CAI tool is proposed that combines preparation support, in-booth assistance, and pre-task training within a unified environment. Core functionalities include glossary extraction based on Natural Language Processing (NLP), real-time transcription and translation powered by Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT), contextual terminology highlighting, and realistic training simulations using speech technologies.
Adrián Valledor Pérez, Josefa Gómez Pérez, Elena Alcalde Peñalver, Raquel Lázaro Gutiérrez, Eva Huertas, Abdelhamid Tayebi Tayebi
Open Access
Article
Conference Proceedings
Both insufficient adjustment and selective accessibility exist in the anchoring effect: evidence from eye dynamics in estimation tasks
Extant studies on the underlying mechanism of the anchoring effect are almost based solely on the decisions people make and the findings remain controversial. Focusing on the decision process, this research examined how an individual arrives at his decisions by introducing the methods of eye-tracking and pupillometry into the research on the anchoring effect for the first time. Here, we found in two experiments: in comparison with no anchor situation, the presence of an anchor caused shorter response time, larger pupil size, lower blink frequency, higher saccade frequency, larger amplitude, and shorter duration in the stimuli area. It appeared that both insufficient adjustment and selective accessibility exist in the anchoring effect. The amounts of adjustment based on the anchor value in the participants’ decisions were proportional to the size of the deviation of the anchor value from the true value and were inversely proportional to their confidence level in estimation.
RUIFENG YU, Minhui Yuan, Lin Ding, Bing Han
Open Access
Article
Conference Proceedings
When Is Congruence Optimal? Impression-Dependent Effects of Product-Avatar Matching in VR Commerce
Virtual reality (VR) is increasingly used for product introduction, where virtual salespersons (avatars) guide users through products in immersive environments. Conventional design wisdom, grounded in schema congruity theory, assumes that visual congruence between product and salesperson impressions leads to more favorable evaluations. However, it remains unclear whether this “congruity advantage” always holds for affective impressions in VR commerce. In this study, we empirically examine how the relationship between product impressions and salesperson impressions, that is, congruent (similar) versus incongruent (contrasting), affects user experience in VR product introduction. In a preliminary study, we quantified eight affective impression features for products and avatars. We used a within-subjects VR experiment (N = 19; 304 observations per measure) to systematically combine each impression feature with congruent and incongruent avatar pairings. Participants rated perceived favorability, revisit intention, and purchase intention. Two-way analyses of variance indicated significant interactions between the impression feature and impression relationship for all three indicators. Cuteness and healthiness were evaluated more positively under congruent conditions, whereas interestingness yielded the opposite pattern: incongruent conditions led to higher favorability, revisit intention, and purchase intention. Other features yielded no reliable differences. These findings indicate that congruence is not universally optimal. Instead, the optimal configuration depends on the type of affective impression, suggesting impression-specific design guidelines for selecting VR salespersons in VR commerce.
Michiko Inoue, Shota Hioki
Open Access
Article
Conference Proceedings
Exploring the User Experience of Virtual Reality in Displaying and Learning High-Risk Home Appliances
The global shift in consumption habits following the pandemic has driven a substantial increase in household appliance utilization. However, this surge is accompanied by rising appliance-related hazards, primarily linked to user errors and the ineffectiveness of dense traditional instruction manuals. To mitigate these safety issues, this study investigates the efficacy of Virtual Reality (VR) as an innovative medium for experiential learning, selecting an oven as the target product due to its high-heat risks. The objective was to create a needs-compliant VR environment and compare its usability and user experience against a conventional physical learning model. An experiment with thirty participants collected quantitative data via the System Usability Scale (SUS) and qualitative insights through semi-structured interviews. Results demonstrated a statistically significant superiority of the VR experience, indicating exceptional usability and enhanced learning effectiveness. This validates VR as a powerful tool for accelerating product comprehension and safety education. The study concludes by contributing actionable design principles for immersive applications, emphasizing information layering, multimodal feedback, behavioral verification mechanisms, and dedicated guidance for VR novices.
Yu-Hsuan Huang, Chien-Hsiung Chen
Open Access
Article
Conference Proceedings
"Simply": AI-Powered Browser Extension to Support People with Learning Disabilities
People with learning disabilities, including dyslexia and Attention-Deficit/Hyperactivity Disorder (ADHD), as well as individuals with visual and motor impairments, often face challenges when accessing Web content. Even though, there are accessibility solutions, but they do not integrate multiple accessibility features in a single, unified tool. This paper proposes an AI-powered browser extension designed to enhance web accessibility with a set of automated features, including text simplification, visual explanation, text-to-speech (TTS), and speech-to-text (STT) functionalities. The system uses Artificial Intelligence (AI) technique, such as Natural Language Processing (NLP) and computer vision, to transform complex textual and visual information into simplified, user-friendly formats, while voice-based interaction enables hands-free and aural support. The proposed solution is implemented using a web browser extension to ensure lightweight deployment and ease of use. Initial testing results demonstrate that Simply effectively achieves reliable performance and positive usability outcomes. The contribution of this work lies in advancing browser-based accessibility solutions by combining AI-driven content simplification with multimodal interaction, thereby promoting digital inclusion, educational accessibility, and reducing barriers to information access for people of determination.
Murad Al-Rajab, Samia Loucif, Suhail Odeh, Hadeel Nooreldin, Sedra Dawalibi, Hajra Nadeem
Open Access
Article
Conference Proceedings
Beyond Assistive and Educational Technologies: The Emergence of Educational Assistive Technology
This paper analyzes the actions developed within the scope of the New Research and Innovation Arrangement in Assistive Technology (NAPI-TA), with emphasis on the initiatives of Working Group 02 – Assistive Technology at the Interface with Education. The study aims to examine the development of Educational Assistive Technologies (EAT) conceived from an inclusive perspective, oriented toward the elimination of barriers in teaching and the expansion of equitable access to the school curriculum, with particular attention to the needs of students with visual impairment and blindness. The research is characterized as qualitative and descriptive-analytical, grounded in documentary analysis of projects, institutional reports, and pedagogical materials produced by WG02, largely through the actions of the Educational Assistive Technologies Laboratory (LabTAE). The results indicate that the developed EAT incorporate principles of Universal Design (UD) and Universal Design for Learning (UDL) by anticipating sensory, communicational, and cognitive barriers and enabling the shared use of resources by students with and without disabilities. It is concluded that the actions of NAPI-TA in the educational field demonstrate the potential of applied research and collaborative innovation in promoting inclusive, equitable, and socially engaged pedagogical practices, particularly in addressing the barriers historically imposed on blind students and those with low vision.
Anderson Goes, Priscila Costa, Heliza Góes
Open Access
Article
Conference Proceedings
Effects of Auditory–Tactile Rhythmic Cueing on Gait Parameters in Older Adults
Five adults aged ≥65 years completed four within-subject conditions in random order: no cue, audio-only, tactile-only, and synchronized audio–tactile cueing. In all cue conditions, the cue tempo was individualized to 10% above each participant’s natural walking cadence. Participants walked along a flat 20 m indoor straight walkway; gait was analyzed over the central 10 m steady-state segment recorded on video. To simulate public-transit ambient noise, a looped recording of real-world transit sound was played in the measurement area at 70 dBA, and illumination was maintained above 200 lux to minimize lighting-related confounds. Walking speed, cadence, and mean step length were derived from traversal time and step events extracted from video. For each participant, walking-speed change under each cue condition was computed relative to the no-cue baseline, and medians and ranges were reported to summarize overall trends and individual differences. Participants’ perceptions were assessed using a five-point Likert scale and a brief interview.This study examines, under realistic noise constraints, how auditory, tactile, and temporally synchronized audio–tactile rhythmic cueing differentially affect walking performance in older adults.
Jun Yuan Chiu, Jo-Han Chang
Open Access
Article
Conference Proceedings
Where Spatial Immersion Meets Diverse Experiences: Exploring Virtual Scenes through Gaussian Splatting and Parametric Iteration
The expansion of spatial intelligence and generative technologies has advanced 3D representation, shifting digital creation toward user perception and challenging project-oriented design paradigms. Addressing the need to balance environmental realism with conceptual adaptability, this paper proposes a computational method that integrates Gaussian Splatting (GS) and parametric iteration for exploratory virtual scene design. The study examines an urban public green space, where GS is adopted for high-fidelity scene reproduction following image acquisition. Parametric spatial prototypes are developed in Grasshopper (GH) and linked to Unity to support real-time overlay, interaction, and virtual reality (VR) navigation. The results of the System Usability Scale (SUS) show that the synergy between GS and parametric iteration enhances spatial orientation and engagement through detailed visual references. Meanwhile, this workflow achieves design richness and experiential diversity without introducing negative effects on overall usability, proving particularly effective for design tasks requiring node tracking and observation. Overall, this research presents a replicable framework that demonstrates the value of combining realistic contexts with variation rules in early design stages.
Tianyu Han
Open Access
Article
Conference Proceedings
Universal Accessibility in Civil Aircraft Cabin - Single Aisle Aircraft Lavatory "Accessibility for all“
In the context of our research project, RECab (Resource Efficient Aircraft Cabin), which is concerned with the sustainable and resource-efficient design of aircraft cabins, our focus has been on the barrier-free use of service modules in aircraft cabins. To illustrate this, we will use aircraft lavatories as a case study. This requirement is rooted in legislative imperatives for universal accessibility in air travel for all users, with particular emphasis on those with various limited mobility and especially those reliant on wheelchairs. The utilisation of aircraft lavatories by wheelchair users is a matter of significant concern. It is evident that the utilisation of aircraft lavatories poses a considerable challenge for wheelchair users, in addition to the significant difficulties experienced by users without mobility impairments. The team developed a solution that considers user- and usage-specific factors of aircraft cabin areas, as well as operational and safety-critical functions. The outcome of the collaboration between HAW Hamburg (UAS) and Diehl Aviation was the development of the Accessible Single Aisle Aircraft Lavatory Door 1, a solution designed to enhance accessibility for passengers with reduced mobility on single-aisle aircraft. This innovative lavatory design addresses the common barriers posed by cramped facilities, allowing users to travel comfortably and independently, while also enhancing the overall experience for all travellers. The lavatory features a spacious layout that accommodates an onboard wheelchair and provides sufficient room for a support person, ensuring dignity and ease of use considering security critical aspects in that very special area close to the aircraft cockpit. The Accessible Single Aisle Aircraft Lavatory Door 1 is available in two different configurations: retrofit for existing aircraft and line-fit options for new aircraft. Moreover, the design is in accordance with the imminent U.S. Department of Transportation regulations for new single-aisle aircraft. It contributes to the enhancement of inclusivity and accessibility within the domain of air travel, catering to the diverse requirements of passengers and has been designed to maintain the existing cabin layout, thereby ensuring that airlines do not experience any loss of revenue space.
Emre Celikay, Ole Schmidt, Chantal Olijnik, Gordon Konieczny
Open Access
Article
Conference Proceedings
Crosswalk mobility support for visually impaired individuals
Visually impaired persons walk independently using guidance support systems such as tactile walking surface indicators and traffic lights with audio devices. Tactile walking surface indicators (TWSI’s) are the most basic guidance support system, and their installation area significantly affects the range of movement of visually impaired persons, making their role extremely important. Accidents occurring at pedestrian crossings account for a large proportion of accidents involving visually impaired persons walking independently, making appropriate mobility support necessary. Tactile walking surface indicators are effective in supporting mobility when visually impaired persons walk independently. Previous studies on the effectiveness of directional display using tactile walking surface indicators alone include Takeda et al.'s study and the authors' study on the directional display performance of attention patterns (dot shape). However, when a visually impaired person crosses a crosswalk, they are first guided to the crosswalk entrance by guiding patterns (bar shape), and then they recognize that they are near the crosswalk entrance by attention patterns. Furthermore, when a visually impaired person crosses a crosswalk, they step on the step between the sidewalk and the road with the soles of their feet to determine the direction to cross. This study aims to experimentally clarify, in light of actual installations, how the continuous arrangement of bar and dotted tactile walking surface indicators and the difference in the level of the pedestrian/vehicle boundary affect the orientation of visually impaired person at pedestrian crossings when determining their direction based on the sensation of their feet. In this experiment, we verified how accurately visually impaired people can determine their direction of travel at a crosswalk entrance based on tactile information obtained from the soles of their feet. Specifically, we conducted walking experiments using three different patterns: edge steps, attention patterns, and guiding patterns, and were able to visualize and quantify the subjects' walking trajectories using posture estimation by AI. The results suggest that adding steps in combination with guiding and attention patterns is effective.
Shoichiro Fujisawa, Kento Sugimoto, Weijun Liu, Jyunji Kawata, Jiro Morimoto, Hisanori Amano, Mineo Higuchi, Yoshio Kaji, Yuji Osada, Kumiko Eguchi, Yukio Yanagisawa, Katsunori Tatara, Tomoyuki Inagaki, Muneo Yanagihara
Open Access
Article
Conference Proceedings
Background Music Listening During Computer-Based Work: Frequency and Self-Reported Concentration
Background music (BgM) listening refers to playing music while performing another task. Although previous research has examined how different types of music affect the performance of various cognitive tasks, little is known about how frequently individuals choose to listen to BgM during everyday work. The present study examined the proportion of computer-based work time spent listening to BgM (BgM%) and its association with self-reported concentration. Seventy participants were recruited through personal contacts and social media. Participants included 37 women (53%) and 33 men (47%), of ages ranging from 22 to 64 years (M = 32.01, SD = 9.36). The recruitment request emphasized that the questionnaire was intended for both those who do and do not listen to BgM while working. Participants estimated the percentage of their computer-based work time spent listening to BgM. The mean BgM% was 41%, with substantial variability (SD = 32%). Contrary to expectations, the distribution of BgM listening was not bimodal. Only 18% reported never listening to BgM while working on their computers, and the remaining participants were almost evenly divided across low, medium, and high BgM-use categories. Participants also rated their agreement/disagreement with the statement “BgM helps me concentrate while working on the computer” on a Likert scale. A Spearman correlation analysis revealed a strong positive association between BgM% and perceived concentration, r(68) = 0.78, p < 0.001. This suggests that individuals’ beliefs about BgM’s impact on their concentration largely determine their BgM-listening behavior. Future research should test whether these subjective concentration assessments correspond to objective performance outcomes.
Ofer Bergman, Or Perets
Open Access
Article
Conference Proceedings
An Information-centric and AI-based Digital Twin framework for the design of Human-Robotic Interactions (HRI) in orthopedic surgery
This paper outlines a foundational framework to design a Cyber-Human-Physical (CHP) process for robotic orthopedic surgery. The key elements of this information centric framework include components including principles and technologies from various fields including Cyber-Physical Systems, Extended Reality and 3D Digital Twins modeling, Information driven Enterprise models, Human-Computer Interaction (HCI) / Human-Robotic Interactions (HRI) based design, Systems Engineering and Artificial Intelligence (AI). This CHP framework is cantered around the design and use of 3D Digital Twins to support cross-functional design of the overall robotic surgery framework as well as for training residents and surgeons. The creation of Information Intensive Process Models based on systems engineering methods provides a structured foundation for understanding the complexities of the surgical process and for designing the overall approach to support the cyber-human-robotic interactions. AI based tools can play a key role in automating various tasks including generation of 3D robotic path plans and to assess learning/training patterns among residents and surgeons. The 3D Digital Twins can be created using Virtual and Mixed Realty technologies to train residents and budding surgeons as well as to serve as interfaces to control the robotic surgery activities.
Joe Cecil, Miguel Pirela-Cruz
Open Access
Article
Conference Proceedings
Integrated Framework to Identify Attrition Mechanisms in Digital Healthcare-Based Physical Activity
Digital healthcare services are frequently evaluated in terms of functionality, usability, and technical performance, yet their sustainable expansion cannot be fully explained by technical quality alone. This study proposes an integrated framework for identifying attrition mechanisms in digital healthcare by incorporating both service-level features and social-scientific dimensions of user interpretation. To explore this perspective, 23,665 YouTube comments and replies were collected from 16 videos related to Nike Training Club, Strava, and MyFitnessPal and analyzed using BERTopic. The results revealed clear cross-service differences. Strava generated comparatively coherent discourse centered on activity tracking, device integration, and data use, whereas Nike Training Club and MyFitnessPal showed broader thematic dispersion shaped by viral short-form reactions, general wellness talk, and comparisons with competing services. Rather than treating such inconsistency as a simple methodological weakness, this study interprets it as evidence that digital healthcare attrition is socially mediated through trust formation, contextual relevance, comparative evaluation, and platform culture. The findings suggest that sustainable expansion of digital healthcare requires more than technological advancement; it also depends on understanding how services are publicly interpreted, socially positioned, and integrated into everyday routines.
Chanryong Kim
Open Access
Article
Conference Proceedings
Understanding Cognitive Factors for the Choice of Physical Controls for in-Vehicle Content Accessibility
Automobiles become more capable of supporting our everyday lives. They are used not just for driving but also for communication and online content; playing music from the radio, from the internet, and from the phone connected, for example. However, designing accessible controls in-vehicle has been challenging due to the limitations of the in-vehicle interface. The space for physical control is limited, while the information architecture and menu structure of the user interface become complicated, as more controls and contents are provided. Finding the balanced HMI model for physical vs. screen-based virtual control is necessary to achieve satisfactory vehicle content accessibility. In this study, we used a similarity matrix to understand the underlying structure of content accessibility. Forty-eight participants were recruited and voluntarily reviewed their own vehicle in terms of content accessibility with VCAG (including NHTSA distraction guidelines), followed by sorting the physical buttons. The findings illustrate the choice model of vehicle content/control accessibility. Discussion will follow on psychophysical and preferential judgements in in-vehicle content accessibility. The updated VCAG testing methods and procedures will be provided.
Sookyung Cho, Gabrielle Kyra Sumilang, Cassidy Tu
Open Access
Article
Conference Proceedings
The Adoption of 4IR Technologies in the Management of Quantity Surveying Services: Bibliometric Review
By integrating cutting-edge technologies such as blockchain, artificial intelligence (AI), and the Internet of Things (IoT), the Fourth Industrial Revolution (4IR) is reshaping industries worldwide. These innovations offer transformative potential for the construction industry, particularly in enhancing the efficiency, accuracy, and transparency of quantity surveying services. This study presents a bibliometric review of global research on the use of 4IR technologies in the management of quantity surveying services. The study analysed publications from 2013 to 2024 using bibliometric tools such as VOSviewer and Microsoft Excel, utilising data retrieved from the Scopus database. The analysis focused on trends in publishing, notable authors, important nations and institutions, keyword co-occurrence, and thematic focus areas. The findings indicate that quantity surveying is increasingly interested in digital transformation, with BIM and blockchain emerging as predominant themes. However, regional disparities and limited adoption in developing contexts were also observed. This review offers a comprehensive overview of the field's intellectual structure, identifies research gaps, and suggests possible future paths. The purpose of the findings is to assist educators, industry stakeholders, and researchers in comprehending how 4IR technologies are influencing the global evolution of quantity surveying practices.
Motheo Tjebane, Sandile Wonderboy Sibiya, Molusiwa Stephan Ramabodu, Imoleayo Abraham Awodele, Gift Laolang
Open Access
Article
Conference Proceedings