bluuebunny/crossref_metadata_2025 huggingface dataset:
Gambaran Pengetahuan tentang Perawatan Kaki pada Pasien Diabetes Melitus
Authors: Yulianti Fitri , Priasmoro Dian Pitaloka , Zakaria Amin
Published: October 2023

Pendahuluan: Pada penderita diabetes melitus banyak yang menghiraukan kebersihan kaki dan perawatan kaki yang salah satu anggota tubuh merupakan tempat yang mudah mengalami luka diabetes. Luka pada kaki ditandai dengan tergores atau terbukanya permukaan kulit mengakibatkan kuman,kotoran atau bakteri masuk dan menjadikan infeksi pada kaki. Sehingga perawatan secara baik untuk menanggulangi terjadinya infeksi pada kaki. Tujuan penelitian ini mengetahui pengetahuan tentang perawatan kaki pada pasien diabetes melitus.

Metode: Desain penelitian yang digunakan dalam penelitian ini adalah deskriptif jenis kuantitatif,populasi pada penelitian ini yaitu seluruh pasien dipoli rawat jalan puskesmas poncokusumo kabupaten malang yang menderita diabetes melitus berjumlah 60 orang, kemudian dilakukan pemilihan sampel menggunakan teknik puposive sampling sehingga didapatkan sampel sebanyak 52 orang. Analisa data dalam penelitian ini menggunakan analisis univariat. Instrument penelitian menggunakan lembar kuesioner.

Hasil: Penelitian menunjukkan sebagian besar pengetahuan cukup sejumlah 31 orang (59,6%), sebagian pengetahuan baik sejumlah 11 orang (21,2%), sebagian kecil pengetahuan kurang sejumlah 10 orang (19,2%). Hal ini dimungkinkan karena umur, jenis kelamin, pendidikan, dan lama menderita sakit.

Kesimpulan: Berdasarkan hasil penelitian ini direkomendasikan kepada pihak puskesmas untuk aktif memberikan edukasi kepada penderita, serta penderita dapat melibatkan anggota keluarganya untuk membantu melakukan perawatan.
Relationships among Personality Traits, ChatGPT Usage and Concept Generation in Innovation Design
Authors: Filippi Stefano
Published: October 2023

The literature reports many evidences about the influence of personality on design activities. At the same time, Natural Language Processing - NLP - tools are gaining importance day by day in product innovation. This research investigates possible relationships among personality traits, ChatGPT usage and the generation of innovative design ideas. A Microsoft Excel workbook implementing the first release of a data analysis framework has been developed and is available for downloading. The reader can use it to carry on personal evaluations; in the near future, an updated release of the framework will allow sending the results to a cloud repository to build a large database and perform more robust statistical analyses. This will allow the relationships highlighted up to now gaining objectivity and discovering new ones.
Leveraging Multi-User Dungeons for Ethical AI Decision Support Systems: A Novel Approach
Authors: Pittman Daniel , Haring Kerstin , Gauthierdickey Chris
Published: October 2023

This paper proposes the innovative use of Multi-User Dungeons (MUDs) as a testbed for exploring and refining Artificial Intelligence (AI) ethics in decision support systems. MUDs are interactive, text-based virtual environments and offer a unique platform for studying AI behavior in a controlled yet complex environment. Our approach involves a combination of machine learning and natural language processing techniques to implement AI as a decision support system, and designs scenarios that challenge players with ethical quandaries and dilemmas. The effectiveness and ethical decision-making of players, the AI, and both together as a team are evaluated through a mix of quantitative and qualitative methods. The approaches detailed in this research aim to contribute to the broader discourse on AI ethics, stimulate a discussion on how to provide empirical evidence of AI decision-making's impact on human behavior in MUDs, and informing the design of ethically responsible AI systems in other domains.
Before and after lockdown: a longitudinal study of long-term human-AI relationships
Authors: Lopez Torres Valeria
Published: October 2023

Social chatbot apps with advanced capabilities for relationship development have become increasingly popular over the last few years. As millions of people around the world develop emotional bonds with AI companions, the concept of authenticity emerges as a topic of interest. This qualitative longitudinal study focuses on the experiences of people in a relationship with an AI Companion. The purpose is to understand how authenticity is constructed and identify factors that influence the development of AI relationships and contribute to their sustainability. Results indicate that human-AI relationships are shaped and transformed by factors directly related to the user, and to the sociotechnical context they are embedded in, all of which play a pivotal role in the construction and perception of authenticity.
'Design for integrating explainable AI for dynamic risk prediction in prehospital IT systems
Authors: Wallstén David , Axton Gregory , Bakidou Anna , Lee Eunji , Arne Sjöqvist Bengt , Candefjord Stefan
Published: October 2023

Demographic changes in the West with an increasingly elderly population puts stress on current healthcare systems. New technologies are necessary to secure patient safety. AI development shows great promise in improving care, but the question of how necessary it is to be able to explain AI results and how to do it remains to be evaluated in future research. This study designed a prototype of eXplainable AI (XAI) in a prehospital IT system, based on an AI model for risk prediction of severe trauma to be used by Emergency Medical Services (EMS) clinicians. The design was then evaluated on seven EMS clinicians to gather information about usability and AI interaction.Through ethnography, expert interviews and literature review, knowledge was gathered for the design. Then several ideas developed through stages of prototyping were verified by experts in prehospital healthcare. Finally, a high-fidelity prototype was evaluated by the EMS clinicians. The primary design was based around a tablet, the most common hardware for ambulances. Two input pages were included, with the AI interface working as both an indicator at the top of the interface and a more detailed overlay. The overlay could be accessed at any time while interacting with the system. It included the current risk prediction, based on the colour codes of the South African Triage Scale (SATS), as well as a recommendation based on guidelines. That was followed by two rows of predictors, for or against a serious condition. These were ordered from left to right, depending on importance. Beneath this, the most important missing variables were accessible, allowing for quick input.The EMS clinicians thought that XAI was necessary for them to trust the prediction. They make the final decision, and if they can’t base it on specific parameters, they feel they can’t make a proper judgement. In addition, both rows of predictors and missing variables served as reminders of what they might have missed in patient assessment, as stated by the EMS clinicians to be a common issue. If given a prediction from the AI that was different from their own, it might cause them to think more about their decision, moving it away from the normally relatively automatic process and likely reducing the risk of bias.While focused on trauma, the overall design was created to be able to include other AI models as well. Current models for risk prediction in ambulances have so far not seen a big benefit of using artificial neural networks (ANN) compared to more transparent models. This study can help guide the future development of AI for prehospital healthcare and give insights into the potential benefits and implications of its implementation.
Design of new routing algorithm and embedding for Hierarchical Hypercube Networks
Authors: Lee Hyeongok
Published: October 2023

Mesh, hypercube, HHN, bubbls-sort, star, transposition, and macro-star graphs have been proposed as interconnection networks used in high-performance parallel computer structures. A hypercube expresses a node with n binary numbers, and has an edge between 1-bit other nodes. A hypercube is an excellent network from a graph-theoretic point of view, such as node symmetry, fault tolerance, recursive scalability, and Hamiltonian cycles. However, compared to the increase in the number of nodes, the number of edges increases proportionally, so the network cost is not good. The HHN graph was proposed as a network that improved the network cost by improving the disadvantages of the hypercube. HHN graph uses hypercube as a basic module. The HHN graph is a network that has improved network cost by designing it to have a hierarchical structure based on a hypercube. HHN graphs have a simple routing algorithm with fewer branches and fewer links than hypercubes. Although HHN's routing algorithm has a simple advantage, it has a disadvantage that the path length is long via unnecessary nodes. In this study, we propose a new routing algorithm that improves the path length of the HHN graph and analyze its efficiency. The improved routing algorithm proposed in this study has the result of improving the existing algorithm by 30% on average. In addition, we analyze the embedding of one interconnection network into another is a very important issue in the design and analysis of parallel algorithms. Through such embeddings the algorithms originally developed for one architecture can be directly mapped to another architecture. This paper describes novel methods for the embedding of hierarchical Hypercube networks in the hypercube to minimize the dilation and the expansion costs.
Continuous personal monitoring and personalized hydration recommendations with wearable sweat sensors to prevent occupational heat stress
Authors: Stewart Michelle , Tineo Andrea , Woodrow Benjamin , Wasik Michael , Chan Selina
Published: October 2023

Exposure to extreme heat during physical exertion may impair cognitive and physical abilities commonly known as heat stress. Industrial workers are vulnerable to the effects of extreme heat due to increasing ambient temperatures, tasks with radiant heat exposures, work intensity, and added personal protective equipment (PPE) burden. New wearable sweat sensors may help mitigate heat stress by monitoring physiological signs of dehydration and provide real-time hydration recommendations. As wearable sensors are introduced into the workplace, this study aims to understand whether continuous personal, physiological monitoring is a better indicator of heat stress risk than current, traditional industrial hygiene, environmental monitoring.
The Impact of Parental Treatment and Education on Social Exclusion Sensitivity in Adult Children: A Questionnaire Survey and fNIRS Study Using the Cyberball Paradigm
Authors: Sakamoto Takashi , Kamada Kouki , Maki Atsushi , Kato Toshikazu
Published: October 2023

We investigated how attachment styles between parents and children, as well as the coping styles taught by parents to their children, affect sensitivity to social exclusion using psychological assessments based on questionnaire surveys. Additionally, we examined whether differences in sensitivity to social distress could be detected as differences in activation sites in the brain using functional near-infrared spectroscopy (fNIRS) measurements with the Cyberball Paradigm. The results suggested a potential correlation between children's own coping styles and their cognitive perception of parental guidance. However, no correlation was observed between parental guidance and children's cognition. Furthermore, in the group experiencing high levels of social distress, specific brain regions, the dorsomedial prefrontal cortex (DMPFC) and anterior prefrontal cortex (APFC), were significantly more active during the experience of social distress. Several activations in brain regions not previously reported in conventional research were also observed. These findings suggest that the way parents interact with their children and the content of parental education may have an impact on children's future sensitivity to social distress.
Real-time visualization design of electronic music based on immersion theory
Authors: Su Weilin , Ling Jie
Published: October 2023

In the context of the current multi-cultural integration, people are eager to obtain multi-sensory experience in music aesthetics. According to the definition and classification of electronic music, this paper analyzes its different characteristics from different angles, and discusses the immersive design of music visualization performance and performance space based on the author's works as an example; puts forward the problems and corresponding solutions in existing electronic music performances ;Aiming at the characteristics of electronic music that are different from traditional music performance, the corresponding mapping rules, technical means, and expression methods are proposed to realize the visualization of music.
Design Puzzibility: design idea exploration based on design puzzles with deep learning
Authors: Chang Ching-chih , Chang Teng-wen
Published: October 2023

The exploration of design ideas is a puzzle-solving process. The design puzzle as a framework motivates practitioners to explore more meaningful, refined, and preferable designs. This research tackles the factors that combine human-computer interaction on visual and semantic entities as hints to support the puzzles of concept design. Finding perfect references to express a specific design idea can be time-consuming and challenging. Mood boards have been used to motivate designers to visualize their creative concepts and convey insights to teams. This research illustrates the design puzzle with the mood board approach to support the idea exploration of web information system design. Several technical aspects of the design puzzle are surveyed and leveraged to achieve supporting design idea exploration with deep learning. With our computer-aided framework, designers may select the best combinations of design insights to work on further. To summarize, designers can use semantic and visual content analysis for problem-solving and idea exploration. This approach enables them to refine hinted ideas more flexibly and effectively.
From Concept to Framework: Construction of Evaluation Index Framework for Intelligent Home Appliance Design under the Context of AIGC
Authors: Tian Xin , Luo Shijian , Tan Zhengtang , Zhang Huixiang , Cheng Hui , Zhu Chunxiao , wang Yao , Lin Huan , Cong Fang
Published: October 2023

With the development of artificial intelligence, the production method of automatically generating content using AI technology has been continuously evolving. AI-generated content (AIGC) has rapidly emerged and plays a significant role in the design and development of smart home appliances. However, there hasn't been a systematic discussion on the evaluation index framework for smart home appliance design under the influence of AIGC. In this study, based on the popularity and essentiality of home appliance categories, we selected washing machines as the research object. With a research time span from 1980 to 2023, we conducted a systematic review of 427 publications and analyzed 52 core articles. Through the extraction of high-frequency vocabulary related to design evaluation in the literature, we obtained multiple key evaluation index keywords. By combining user interviews, expert interviews, and focus group experiments, we summarized the key evaluation index keywords and found that the design evaluation can be conducted from three dimensions: form, function, and experience. Based on this framework, we further categorized and classified the involved indicator items into hierarchies and categories, forming a design evaluation index framework to guide designers in their work.
Evaluation of unpleasant green environment based on biological reaction and contingent valuation
Authors: Tanishita Masayoshi , Ohkura Michiko
Published: October 2023

Green environment such as parks and woods have been maintained as having healing and relaxing effects. These effects have been evaluated by biological reactions and contingent valuation method. Most previous studies are focusing on green environments where maintenance is done. On the other hand, there are many unmaintained green environments such as abandoned detached houses and woods. There is a possibility that people feel uncomfortable with these problems, such as increasing anxiety about crime prevention and disasters and deteriorating the local image. However, to the best of our knowledge, no research has been conducted that focuses on the discomfort of unmaintained green environment. Therefore, in this study, we investigate subjects' biological reactions (cerebral blood flow and heart rate) and willingness to pay (WTP) for the improvement, presenting images of abandoned detached houses and woods as unmaintained green environment, and analyze the relationship between biological reactions and WTP.59 subjects joined this experiment. After a 60-second rest period, each subject sees the 4 unmaintained greenery image and 4 maintained greenery images, 5 seconds each. In order to consider the order effect, the order of unmaintained and maintained greenery images was alternated by half for each subject. In addition, data showing large fluctuations or trends during breaks were excluded from the analysis.As a result, 1) in case of abandoned detached house, the heart rate tended to increase when they see the "unmaintained greenery", and in case of abandoned woods, the heart rate tended to decrease when they see the "maintained greenery". 2) The heart rate variation differ by gender and presentation order of images. Females showed greater variation. Interestingly, there was a contrasting change in whether the maintained images were viewed first or later in both abandoned detached house and woods. 3) We cannot find the difference in cerebral blood flow. 4) There was no relationship between the presence or absence of changes in biological reactions and WTP. Though we need further investigation, we show the possibility of biological reactions to evaluate unpleasant green environment.
iBODY: Human body shape reconstruction by using multiple depth cameras
Authors: Endo Yui , Hayashi Kazuto
Published: October 2023

Diverse 3D body shapes of the human body can be collected and statistically analyzed to construct a collection of representative human body shapes. Such a digital human model can be used to realize a design that reasonably takes into account the diversity of the human body, so-called human-centered design, on a computer.A device that measures the three-dimensional body shape of the human body is generally called a 3D body scanner. Although body scanners using laser beams are extremely accurate, they are very expensive and require the subject to keep static for a long time. Photogrammetry, a method that reconstructs body shapes from color images obtained by placing dozens or hundreds of cameras around a subject, can generate dense meshes with realistic textures of the subject's body shape, but the equipment is large and expensive, and the accuracy is difficult to verify. On the other hand, a body scanner using depth cameras can acquire a wide range of high-density point clouds in a short time and requires a small number of cameras, making it relatively inexpensive to build a scanner.This paper describes a new 3D body shape measurement method using multiple depth cameras. The task of identifying the position and orientation of each depth camera in the 3D world coordinate system is generally referred to as global calibration, and conventionally requires that a default checkerboard can be captured from each camera. In this paper, we propose a new global calibration method using a real object of known shape. Only a single object is placed for the measurement area, and calibration is possible as long as any part of the surface shape of this object can be captured from each camera.Furthermore, this paper describes a method to construct a homologous mesh using the obtained high-density point cloud of the human body surface. By constructing the mesh in which the configuration of vertices and faces is invariant regardless of the body shape, dimensional measurements and other analyses are facilitated.
Digitization, Cybersecurity and Risk Management in the Oil and Gas Sector in the post COVID world: A Systematic Review
Authors: Imran Huma , Salama Mohamed , Turner Colin
Published: October 2023

Digitization and cybersecurity are intertwined. The surge in digitization has made the cyber threat landscape complex and real, allowing cybercriminals to target nations' critical infrastructure, especially oil and gas. Recent high-profile incidents demonstrate the quickly evolving and intensifying threat landscape. Oil and gas producers must protect themselves from these stealthy adversaries, which necessitates a thorough understanding of the relationship between digitization, risk management, and cybersecurity. Academics and industry practitioners have been digitizing the oil and gas industry for decades to make it more cost-effective and resilient. However, managerial progress is slow and traditional methods are still used. Cybersecurity was largely neglected during digitization. This paper chronicles the growth of smart factories and cyber risk management practices through different digitization strategies, and identifies gaps in digitization and risk management. A systematic literature review of the petroleum industry was conducted using four databases (AAPG, SCOPUS, ProQuest and Web of Science). 56 papers were shortlisted after a comprehensive research. The paper examines the publication, source and goal of digitization models and their use in the oil and gas industry. It also integrates digitization, cybersecurity and risk management in the petroleum sector. In the past, cyber-attacks were responded to after they occurred, and digitization has outpaced cybersecurity management. . This poses a real challenge in the world of oil and gas sector, where billions of dollars are at stake due to this knowledge gap. With the passage of time cyber security has become an integral part of the digitization programs, and recently, the proposed models have integrated cybersecurity as an essential element of digitization frameworks, however much needs to be explored and studied at project level as these models require further validation and updating.
Exploring Human-Like Behavior Explanation on AI Speaker Recognition as Communicable Partners across Age Groups
Authors: Nishizaki Yukiko , Uchitani Takumi
Published: October 2023

AI speakers are not just tools for presenting information but also have the potential to function as communication partners. Pradhan et al. (2019) reported that individuals differ in their understanding of AI speakers, with some perceiving them as radio-like machines while others see them as human-like social agents.This distinction provides important insights into building trust with AI speakers. The objective of this study was to develop fundamental knowledge that enables AI speakers and humans to establish trustworthy relationships, akin to those between humans.We examined whether participants' behavior towards the AI speaker differed when they were informed that it operated as an autonomous entity, similar to an agent robot. Additionally, we investigated whether these results were independent of age. Forty younger and forty elderly participants were involved in a joint Simon task experiment. The hypotheses were as follows: (1) Participants who were informed that AI speakers "think and make decisions on their own, like humans" would strongly perceive AI speakers as communicative partners compared to participants who were informed that AI speakers were "programmed to act like machines." (2) The aforementioned differences would persist irrespective of individual characteristics, such as age or experience with robots. The experiment's findings supported both hypotheses.
Investigating the issues encountered for improving usability
Authors: Fukuzumi Shinichi
Published: October 2023

Human centered design (HCD) is a traditional human Factors and Ergonomics concept. About the end of last century (1999), HCD is firstly standardized as process. It is rare case that the HCD which is not academic system is continued to discuss. The reason is considered not to solve the issues by using HCD. The purpose of this study is to investigate degree of recognition and application for promoting installation of HCD process to interactive system development area for usability and to clarify the issues and propose ways to solve this HCD problem. The questionnaire results by about 600 developers shows that known ratio about HCD is about 58% and applied ratio for in known ratio is about 42% (152 developers). However, overall, only 23% are covered. If HCD is recognized, nearly half of it will be applied, so it is important to raise overall recognition. The ratio of upper phase, development phase and evaluation phase that requirement definition related usability are similar. However, the ratio of deciding usability requirement in upper phase is only 13%. The ratio of evaluating usability requirement before specification is only 10%. Though the ration of recognition for HCD is not so low, many developing areas cannot decide usability requirement before requirement definitions. It is guessed that almost developers do not know how to decide usability requirements.To confirm this question, the other study was carried out. The ratio of recognition for Common Industry Format for usability (CIF) is about 39%. The number of developers to apply CIF to development is about 90. It is only 14%. The CIF is the format for applying HCD process to development process which is standardized in ISO. This standard series is belonged in Standard series for software quality called SQuaRE (System and software Quality Requirement and Evaluation). As the range of recognition for SQuaRE series is about 43%, it is necessary to spread CIF to software development areas.To verify the effectiveness of CIF, CIF is applied to self-driving bus system. Firstly, a high-level description of the context of use shown in the context of use description (ISO/IEC 25063) was made for a usual bus and self-driving bus system, respectively. After that, use needs and user requirements were extracted based on high level description. This process shows that it is easy to extract user requirements before requirements decision phase by using the CIF. However, it is found that management level does not understand the importance for the role of upper phase activities by this time investigation. For this reason, it seems that the ratio of recognition of HCD. It is necessary for improving usability to spread HCD, CIF and SQuaRE much more.
Comparative Evaluation of Social Media Data Analytics Tools in Event Management: Usability and Effectiveness
Authors: Hunsicker Walburn Melissa , Walters Angela , Smith Stacey
Published: October 2023

The advent of social media analytics tools has brought a transformative shift to event management, enabling more dynamic, effective, and personalized event experiences. However, navigating through the sea of available options to select the most suitable tool can be challenging. This study aims to demystify this selection process by comparing the usability and effectiveness of four popular social media analytics tools for event management. The evaluation procedure involved two key steps. Initially, Nielsen's ten usability heuristics were applied to assess the usability of each tool. Subsequently, each tool's effectiveness was examined based on seven Measures of Effectiveness (MOEs) for Event Management (EVMAN), identified through an extensive literature review. Evaluation results exhibited strong consistency, which underscores the validity of our methodological approach. Our findings provide valuable insights by highlighting the strengths and weaknesses of each tool, thus aiding event managers in their selection process and offering educators a framework for classroom adoption. Furthermore, our study contributes to the literature by introducing a distinctive evaluation framework that integrates usability heuristics and event management-specific measures of effectiveness. By bridging this gap, our research paves the way for more knowledgeable, effective, and streamlined adoption of social media data analytics tools in event management.
Risk-Based Selection of GUI Elements for different Input Devices
Authors: Yilmaz Okan , Radermacher Klaus , Wickel Noah , Nitsch Verena , Janß Armin
Published: October 2023

Following the U.S. Food and Drug Administration and the EU Medical Device Regulation, manufacturers must design graphical user interfaces (GUI) with appropriate controls that meet risk and usability requirements, including safety, efficiency, effectivity, learnability and satisfaction. To meet these, we collected and categorized commonly used GUI elements and analyzed those based on criteria related to criticality, such as visibility of options or selections, number of options, accuracy, and control speed. We created tabular overviews to display each GUI element's characteristics, enabling the GUI designer to choose risk-, task- and usability-based the most suitable GUI element. These tabular overviews could increase efficiency during early development phases and help avoid common mistakes. While this work has the potential to support choosing appropriate GUI elements, reduce risks and improve usability, its practicality and effectiveness still need to be verified in further work.
Applicability of the Thank You Exchange System to Employee Evaluation and How to Apply it to External Organizations
Authors: Kurakawa Kiyoshi , Aibara Megumi , Sekiguchi Kazumi , Sinzi Takako , Takazawa Aiko , Furuichi Masakazu
Published: October 2023

As a corporate CEO for many years, one of the authors has tried a variety of personnel management measures. Among them, our research group has particularly focused on bonus evaluation. Bonus assessment is based on “performance evaluation” and “emotional evaluation.” However, while the former enables objective judgment based on sales and working hours, the latter is based on interviews with supervisors, making it difficult to eliminate subjectivity. Therefore, we proposed a method that provides objectivity by swapping acknowledgments/gratitude among employees using a messages exchange system for employees. From November 2019 to November 2021, the system was operated in-house over four periods of six months each, and the applicability to bonus assessment was confirmed. In the next step, we are planning to expand this system not only to other companies but also to more broad external organizations. This paper describes the overview of this system, the evaluation results, and the future plans.
Relationship of internal communication with the organizational development of a non-profit company. Peru Case.
Authors: Espino Carrasco Madeleine , Jhonny Dávila Valdera Luis , Espino Danicsa , David Valdera Benavides Edson , Martel Acosta Rafael , Arbañil Chicoma Claudia , Espino Carrasco Mayury , Vasquez Cachay Royer , Milagros Guevara Cruzado Senaida , Katherine Dávila Valdera Anny , Violeta Dávila Valdera Lady
Published: October 2023

The research was carried out using the Internal Communication (IC) and Organizational Development (OD) variables due to their relevance for any company and especially for this organization, which works in highly competitive sectors and requires stabilization at the forefront. The study is carried out to evaluate the degree of association between IC and OD of a non-profit company. For the OD variable, the Weisbord (1976) model was used, and for the IC variable, the Dennis (1974) model was used. The research was quantitative in nature, with a descriptive-correlational level, non-experimental-transversal design. The findings indicate that the link between internal communication and organizational development is positive and of medium intensity, validating the coherence of the theory. It is highlighted that communication has essential elements with the dimensions of organizational growth, making it a critical factor in the performance of collaborators. Conclusion: It is emphasized that there is still a need to investigate the theory in more depth and promote the practical application of the constructs, both in non-profit companies and in other private sector companies that may need this type of study.
Factors Research of Visual Comfort on Driving Interfaces: A Review
Authors: Shen Qianhui , Zhi Jinyi , XIANG Zerui , Jing Chunhui , Li Ruizhen , Feng Shu , Yao Xing
Published: October 2023

This paper analyses and summarizes the factors affecting visual comfort in the driving interface. Relevant factors affecting drivers' visual comfort are summarized, including three types of factors: user, interface and environment; useful indicators are proposed according to different influencing factors, such as gaze duration, pupil dilation and ICA increase when interface information increases. Finally, the proposed influencing factors are summarized and the problems and deficiencies in the assessment methods are analysed, pointing out the development direction of the visual comfort assessment of the interface in driving, and in view of the human-computer relationship included in the driving task, it is suggested to adopt a combination of subjective and objective assessment methods to improve the validity and robustness of the assessment of visual comfort of the driving interface. This paper can provide some references for the research on visual comfort of interfaces.
Further Development of BIM Education: A Literature Review of Game-Based Learning Approaches and a Proposal for a Game-based Solution in Facility Management
Authors: Alves Sharina
Published: October 2023

The fact that Building Information Modelling (BIM) is still so little used in Facility Management (FM) is not due to one reason alone, but is related to various obstacles. One of these is that many building operators have too little knowledge about the advantages and application of the BIM method in their field and accordingly do not (or cannot) clearly formulate their requirements for a BIM model in the early project phase of new construction and renovation projects. The acquisition of BIM-related knowledge, particularly the procedural aspects, proves to be a challenge when relying solely on traditional frontal teaching methods. In addition, the BIM use cases itself can be different for each FM sector and therefor processes and requirements can be very individual. There is a lack of appropriate formats available for the effective dissemination and transfer of this specialized knowledge. This paper undertakes a literature review, focusing on existing BIM Serious Games. Among other things, the different building phases, the game methods and the learning success achieved are analyzed. Building upon the findings from the literature review, this paper introduces a general framework for a BIM Serious Game, specifically tailored to address the challenges faced within the field of FM. By leveraging the strengths of game-based learning, it seeks to effectively overcome the aforementioned obstacles and bridge the existing gap in the realm of game-based BIM education.
Body Movement Support System for Prevent Disability and Promote Progress
Authors: Sato Wataru , Yamamoto Aoi , Kumagai Sayuri , Yoshida Yasuyuki , Ijuin Koki , Oshiyama Chiaki , Fujinami Tsutomu , Nishimura Takuichi
Published: October 2023

For knowledge transmission, it is important to construct structured knowledge that clearly describes the knowledge. The purpose of this study is to propose a method of structuring instructional knowledge through the approach of conveying ideal body movements, and to develop a system using the knowledge. To achieve the purpose, we structured the knowledge of ideal motions through interviews and constructed computer-readable instructional knowledge. Then, we created a transmission system to utilize the knowledge and instruct the motions, and a veteran instructor confirmed the feedback from the system. From the results, we found that knowledge structured by interviews can be computer readable and incorporated into the system. The results also showed that new knowledge can be extracted by using the proposed method. The results suggested that the proposed method can clarify the instructor's knowledge and share instructional techniques with others.
Improving Comfort of Shoulder and Back Health in Children's School Bags: Examining Damper Shoulder Straps and Ergonomic Factors
Authors: Ishihara Shigekazu , Konno Shuichi
Published: October 2023

This paper presents a study on the implementation of a damper mechanism in the shoulder straps of children's school bags, which is known in Japan as Randsel. The increasing size of textbooks and the need to carry tablet computers further emphasized the necessity for such improvements, particularly for younger elementary school children. To evaluate the effectiveness of the damper strap, a computer vision tracking method was employed. Six schoolchildren were selected as participants and instructed to engage in jogging and walking in place while carrying the Randsel on their shoulders. Three markers were placed on the participants' shoulder and at the top and bottom of the Randsel to facilitate tracking. Results indicated that conventional Randsel designs exhibited delayed up-and-down movements in response to the participants' body motions during jogging on the spot. This resulted in a downward pull on the shoulder when the body was in an upward motion and an upward pull when the body descended to the ground, thereby disrupting the jogging walk. In contrast, the newly invented damper shoulder strap synchronized the timing of the up-and down movements with the body's motion. The delay time of Randsel’s movement from body motion was significantly reduced.
Feature Selection for Machine Learning-Based Core Body Temperature Estimation Using Hand-Measurable Biological Information
Authors: Oba Ryoya , Watanuki Keiichi , Kaede Kazunori , Osawa Yusuke
Published: October 2023

Core body temperature (CBT) is an important health indicator that denotes the temperature of the body core, and maintains brain and organ function. Invasive methods of CBT measurement pose challenges in assessing and monitoring human health. To address this, estimation of tympanic membrane temperature using multiple biological parameters often referenced for CBT has been attempted in previous studies. Our research focused on machine learning-based CBT estimation using hand-measurable biological data. Furthermore, while various studies have investigated machine learning models and the impact of information acquisition environments, few have compared the estimation accuracy of different biological parameters or assessed optimal feature combinations. Our proposed method entails the evaluation of indices in both normal scenarios with all variables and patterned scenarios with varying combinations of reduced explanatory variables. The comparison results reveal that when estimating the CBT based on skin conductance and pulse wave intervals excluding skin temperature, the mean absolute error, coefficient of determination, and root mean square error were 0.17 °C, 0.71, and 0.24 °C, respectively. This suggests that our approach is a feasible CBT estimation method that does not rely on skin temperature, although accuracy concerns persist. Furthermore, the estimation of the difference between CBT and skin temperature suggests that the estimation method may have accounted for individual variations within the data. Implementing the proposed method in increasingly popular smart rings and watches could facilitate the acquisition of CBT in daily life.
Comparing Brain Activity Between Sitting and Standing Positions during Optic Flow with Coinciding Auditory Cognitive Tasks
Authors: Sylcottt Brian , Wu Rui , Guan Shanyue , Lin Chia-Cheng
Published: October 2023

Physical therapy intervention for people with vestibular disorders often includes optic flow stimulation. Such interventions can be performed with patients in either sitting or standing positions. Yet, little is known about how these positions affect brain activation during treatment. In this study, functional near-infrared spectroscopy (fNIRS) was used to investigate the reaction time and activation patterns of the prefrontal cortex (PFC) and temporoparietal junction VEST between sitting and standing conditions in the presence of both visual (optic flow) and cognitive (reaction time tasks) stimulation. 33 healthy adults participated in this two-visit study. In the first visit, participants were instructed to perform a series of reaction time tasks while sitting and experiencing optic flow at varying speeds through the HTC ViveTM virtual reality headset. In the second visit, participants performed the same tasks while standing. When compared with sitting, increased activation was observed in the left and right VEST for some of the standing trials. However, no statistical difference was found in the right or left PFC activation between sitting and standing positions when performing the reaction time tasks. These results suggest that, when compared to a sitting position, tasks performed in a standing position with optic flow stimulation will elicit greater VEST cortex activation, allow for multisensory integration training, and enhance positive outcomes after vestibular rehabilitation.
Harnessing Online-Delivered Cognitive Behavioral Therapy and Exercise in Preventive Mental Healthcare
Authors: Thiese Matthew
Published: October 2023

In the face of escalating global mental health challenges, innovative interventions that are both effective and scalable are paramount. This paper explores the synergistic potential of combining Online-Delivered Cognitive Behavioral Therapy (OD-CBT) and structured exercise as a holistic strategy in preventive mental healthcare. Preliminary findings suggest that OD-CBT offers the benefits of cognitive restructuring and behavioral change in an accessible format, while exercise enhances mental well-being through mechanisms such as neuroplasticity and endorphin release. The integration of these two approaches on online platforms provides a promising avenue for broad-reaching mental health support, especially in traditionally underserved regions. Case studies highlight the practical application and marked benefits of the combined approach, while future directions emphasize the need for large-scale randomized controlled trials, diverse participant demographics, and in-depth qualitative research. Advocacy for policy changes, technological advancements, and broader public health initiatives can further bolster the impact of this confluence. Through a concerted effort, the intersection of OD-CBT and exercise may usher in a new era of holistic, evidence-based, and widely accessible preventive mental healthcare.
A Review of Sociotechnical Approaches for Nuclear Power Plant Modernization
Authors: Kovesdi Casey
Published: October 2023

The nuclear power continues to be a safe, reliable, and carbon-free electricity generating source for the United States (U.S.), though the cost of operating and maintaining the current U.S. nuclear power plant fleet has become uncompetitive with other sources. This gap is attributed to the advent of new digital technologies that other electricity generating industries are currently leveraging to streamline work and greatly reduce operating, maintenance, and support costs. To address the gap, the U.S. Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) Program Plant Modernization Pathway is conducting targeted research and development (R&D) to keep the existing U.S. nuclear power plants economically viable and extend their lifespans by improving their performance through two complementary mission areas:1.Delivering a sustainable business model that enables a cost-competitive U.S. nuclear industry, and2.Developing technology modernization solutions that address aging and obsolescence challenges.Integrated operations for nuclear (ION) is a driving LWRS Program plant modernization research area that focuses on delivering a sustainable business model to provide direction and focus for cross-functional R&D across the LWRS Program that focuses on developing technology modernization solutions. Recent ION research provides a target cost reduction needed in the next 3–5 years for the nuclear industry to remain cost competitive. This research identified major technological advancements (herein referred to as critical work domains) that will significantly reduce cost needed to operate, maintain, and support the existing U.S. nuclear power plant fleet. Some of these key critical work domains include: •Digital instrumentation and control (I&C) and control room modernization•Work/ requirement reduction•Mobile worker technology•Condition-based monitoring•Remote collaboration•Plant automation•Advanced analytics and assuranceThe scope of ION across these critical work domains is to enable transformation of work in a way that improves plant performance and efficiencies through a holistic analysis of the work performed. ION thereby emphasizes the implementation of advanced technologies that eliminate tedious manual tasks, reduce workload, improve team situation awareness, and improve organizational decision-making. To enable the success of ION, this work positions the need to apply a sociotechnical approach that carefully considers the work domain and its constraints to inform the how new technologies can be incorporated to support continued safe and reliable operation of the plant while maximizing the benefits of the new technology. Specifically, this work explores sociotechnical approaches such as cognitive work analysis, co-active design/ interdependency analysis, and systems theoretic process analysis to address the function allocation and data visualization elements of an ION transformation to ensure the economic viability of the existing U.S. nuclear power plant fleet.
HUNTER Procedure Performance Predictor: Supporting New Procedure Development with a Dynamic Human Reliability Analysis Method
Authors: Boring Ronald , Ulrich Thomas , Lew Roger , Park Jooyoung
Published: October 2023

The Human Unimodel for Nuclear Technology to Enhance Reliability (HUNTER) is a streamlined software framework for dynamic human reliability analysis (HRA). HUNTER simulates a reactor operator as a digital human twin, providing a platform by which to model human interactions with a digital hardware twin in the form of a simulated nuclear power plant. HUNTER gives realistic insights into human errors, actions, and time frames. Recent discussions with stakeholders in the U.S. nuclear sector have highlighted potential uses for HUNTER to support development of operating procedures for advanced control rooms. As nuclear power plants transition from analog to digital control rooms or develop advanced control systems for new reactors, a unique challenge arises concerning operating procedures. Established procedures for existing plants have undergone multiple iterations, but with the advent of digital control systems in control rooms, there's often a lack of operating experience to shape these new procedures. Such Version Null procedures are a pressing concern for those drafting them and ensuring plant safety. Expanding on HUNTER's procedural capabilities, a specialized version named the Procedure Performance Predictor (P3) is under development. HUNTER-P3 enables those writing procedures to draft new ones and then test them in a simulation to gauge both operator and plant responses. HUNTER-P3 identifies potential operator and procedure level shortcomings, offering a novel way to validate procedures.