bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Long Short-Term Memory (LSTM) Autoencoder with Density-Based Spatial Clustering of Applications with Noise(DBSCAN) on Anomaly Detection
Authors: Torng Chauchen , Peng Hehe
Published: June 2024

Early fault diagnosis of equipment based on the current condition assessment is one of the commonly used methods of CBM (condition-based maintenance). It refers to mining the impending fault characteristics from a large amount of production data in long-term operation (Luo et al., 2019). However, these data are huge multivariate data causing a difficulty in extracting features manually. In manufacturing scenario, the majority of machines are in a normal state and the abnormalities are relatively rare which makes the collected data occurring data imbalancing.This study explores the use of LSTM (Long Short-Term Memory) autoencoder combined with DBSCAN (Density-based spatial clustering of applications with noise) under the condition of data imbalance. The reconstruction error of the model after training is used as an evaluation index where the errors of each time point between the reconstruction sequence and the actual sequence are calculated and inputted for classification in the DBSCAN model.In this study, a water distribution system dataset from the SKAB (Skoltech Anomaly Benchmark) was used to verify the anomaly detection of our proposed model. Our model shows the F1-score of 0.8025 which is better than the four models proposed by Moon et al. in 2023. With a LSTM autoencoder, the proposed DBSCAN classification model can avoid the difficulty of setting a threshold value in classification.
A systematic review of changing conceptual to practice AI curation in museums: Text mining and bibliometric analysis
Authors: Yu Shengzhao , Lin Jinghong , Huang Jun , Zhan Yuqi
Published: June 2024

The rapid development of artificial intelligence (AI) algorithms has accelerated the global digitization of museums. This study was conducted to clarify conceptual change to practice by applying a systematic literature review to a combination text mining and bibliometric analysis technique to visualization network. Based on the study selection articles from Web of Science（WOS). Our research questions focused on revealing the interconnected network of digital museum collections, expert knowledge and algorithms, and recommendation systems. The findings showed that 288 articles were finally selected to be analyzed.Conceptualizing AI curation in museums is currently underwayincombining AI with museum curatorial knowledge and innovate the practice mode of public participation in museum AI curation With emphasis on the the exchange of domain knowledge process. Moreover, three dimensions to consider including (1)design dimension focus on Methods and approaches for curating museum artificial intelligence exhibitions, (2) learning dimension focus on iterative development of new algorithm models guides the practice of intelligent curation,and (3) standard dimension focus on assessment and evaluation inpublic participation in curating museum cultural heritage exhibitions. In addition, the museum and AI community will mutually benefit. In particular, the convergence of new technologies and the exchange of domain knowledge would result in fairer and safer applications in the future as a result of learning from one another's flaws.
Factor of Discomfort During Jumping Extended in Virtual Space
Authors: Adachi Takuto , Watanuki Keiichi , Kaede Kazunori , Osawa Yusuke
Published: June 2024

In conventional games, enhancing a character’s physical abilities leads to increased entertainment and exhilaration. However, in virtual reality (VR) games, the movements of the in-game characters and players are synchronized, enhancing the sense of physical presence and immersion. Therefore, it is believed that the entertainment value of VR games can be enhanced by extending the characters’ physical abilities. This study focuses on the impact of enhancing a character’s jumping ability in a VR game, which is a fundamental human movement. Our findings indicate that significantly increasing the jump height diminishes the sense of motor subjectivity. This is attributed to the incongruence between visual input and the anticipated sensation based on previous experience. We then investigated the senses that exhibited the largest discrepancies. We found that the discrepancies were particularly large in terms of speed and height, with a higher sense of levitation correlating to increased entertainment value. Future work will aim to propose a trajectory that can minimize the discrepancy in sensations of speed and height and enhance the sensation of floating.
Design of 3D point cloud dataset of indoor spaces for feature extraction using Autoencoder with PointNet
Authors: Miki Takahiro , Osawa Yusuke , Watanuki Keiichi
Published: June 2024

In this study, a novel method was developed to automatically construct a virtual space with a high degree of freedom of expression. The constructed virtual space was designed to reflect the spatial shape of the real space and the arrangement of objects. First, the global shape of the interior space was used to design a dataset for extracting the spatial features of the real space by three-dimensional (3D) scanning of the real space and using a PointNet-based autoencoder. The dataset consisted of the point cloud data of a rectangular 3D object that was a simple imitation of a room in real space and focused on two items, namely the number of input points and the number of data points. The results of the autoencoder restoration indicate that spatial feature extraction can be performed when the number of data is 5000 or more.
Generating Paintings Eliciting Specific Emotions Using Machine Learning for Application in Painting Therapy
Authors: Kisu Keisuke , Motohiro Kozawa , Watanuki Keiichi
Published: June 2024

This study aims to label paintings based on biometric information and generate paintings that elicit specific emotions using machine learning. To create the dataset, we conduct experiments with eight participants using multi physiological measurement sensors. We focus on the arousal axis of emotion and use the skin conductance response as a measure of arousal. The results suggest that machine learning may be effective in generating paintings that elicit emotions because features related to arousal, such as brightness and color, can be appropriately learned.
Estimating Work Efficiency Using Biological Information During Computational Work with Cognitive Load
Authors: Sato Kosuke , Watanuki Keiichi , Kaede Kazunori
Published: June 2024

In recent years, long working hours have become a problem in Japan. One of the measures to solve this problem is to improve work efficiency, and it is essential to establish an evaluation method for this purpose. It is also said that work efficiency decreases due to an increase in cognitive load caused by long working hours. Cognitive load refers to the amount of information processed by the brain's working memory, and it is difficult to process new information or complete a task when cognitive load is high.In previous studies on cognitive load and work efficiency, biometric information is often used as a method for evaluating cognitive load, and its effectiveness has been suggested. However, at the present stage, quantitative estimation of work efficiency under cognitive load has not been studied using biometric information. In this study, we measured biometric data during a continuous addition task with the aim of estimating work efficiency under cognitive load using biometric data. As evaluation indices, we used biological information such as heart rate variability and changes in the relative concentrations of oxygenated hemoglobin (Oxy-Hb) and deoxygenated hemoglobin (Deoxy-Hb) in the prefrontal cortex. Machine learning methods were used to estimate work efficiency, and Convolutional Neural Networks (CNNs) were used to create the machine learning models. CNNs are used in a wide range of fields as machine learning methods and are also widely used in research in the fields of cognitive load and biological information.The experiment was conducted five times on four male subjects. The continuous addition task was performed on a VDT screen for 20 minutes, and the number of correct answers in 30 seconds was used as the task efficiency. Electrocardiograms and cerebral blood flow in the prefrontal cortex were measured during the experiment.Four models were created for everyone to estimate work efficiency every 30 seconds using Oxy-Hb and Deoxy-Hb in the electrocardiogram and prefrontal cerebral blood flow. The biometric data were time-series data, and CNN was used to extract time-series features. To examine the effects of electrocardiograms and cerebral blood flow on learning, we created a model with electrocardiograms alone as explanatory variables, a model with Oxy-Hb and Deoxy-Hb in cerebral blood flow as explanatory variables, and a model with electrocardiograms and Oxy-Hb and Deoxy-Hb in cerebral blood flow as explanatory variables. We also used PFI to evaluate the importance of prefrontal cortex regions on learning.The training results showed that the ECG-only model was not sufficient for estimation, while Oxy-Hb and Deoxy-Hb in the cerebral blood flow provided highly accurate estimation. The PFI values suggested that the dorsomedial prefrontal cortex and the left dorsolateral prefrontal cortex were relatively important.
Development of High-Precision Emotion Estimation Method using Speech Sound Information with Environmental Noise Reduction and Low Sampling Rate
Authors: Okazaki Kanji , Watanuki Keiichi
Published: June 2024

Current research on emotion estimation demonstrates its feasibility at a reduced sampling rate of 6 kHz, thus moving away from traditional methods that depend on higher sampling rates; however, low sampling rates have not been adequately investigated. In addition, noise factors have been limited to electronic sounds rather than environmental. Therefore, this study explores the development of a high-precision emotion estimation method using spoken speech data, focusing on scenarios with environmental noise and low sampling rates. To suppress noise, the proposed method extracts feature quantities for emotion classification using band-pass filters and stacked autoencoders. However, the construction of a high-precision emotion estimation model with these feature quantities required further investigation. Thus, emotion estimation was investigated using a one-dimensional convolutional neural network. The results showed an emotion estimation accuracy of 94.7%, indicating successful noise control. Future work will build on this research to develop emotion estimation methods using spoken speech data that can be employed even in noisy environments.
Intelligent Chair Product Design Based on Embodied Emotion Theory
Authors: Cao Xiaoqin , Xing Huiqiang , Dong Aoyue
Published: June 2024

This study aims to explore how embodied emotion theory can be applied to the design of smart seats to enhance users' physical comfort and emotional experience. Firstly, the article introduces the basic concepts and development history of embodied emotion theory. Then, it analyzes the current application of embodied emotion theory in product design and summarizes the relevant design principles. Subsequently, a product design scheme for a smart seat is proposed, which integrates sensor technology, data analysis, and feedback mechanisms. This scheme aims to adjust the user's emotional state by identifying their emotional status and setting the seat's posture accordingly. The effectiveness of this seat design in improving user emotion and comfort has been verified through experiments. Finally, the paper discusses the application prospects and potential value of smart seats in the field of human-computer interaction.
Analysis of the emotional design and application of educational parent-child interactive products
Authors: Jiang Changfeng , Xu Rui , Yu Hongjun , Xu Danmeng , Yang Ziqiong
Published: June 2024

In the realm of product design, when functional value reaches a certain plateau and stops increasing, there is a shift towards seeking intrinsic value. Users place greater emphasis on the experience of using a product. When designers conceptualize a product, they incorporate emotional and creative elements, paying attention to the emotional needs of the users. Emotional design is a "user-centered" approach, which includes the analysis and practical application of users' emotional factors. Through design, it enhances the spiritual needs that a product can fulfill and values the emotional feedback users receive after using the product.By employing qualitative analysis methods, this study examines the "quality" aspects of educational parent-child interactive products and the attributes of emotional design, comparing the purchasing tendencies of the target audience. Furthermore, we analyze three dimensions of design to provide systematic theoretical support for the design of parent-child interactive products. The results indicate that during the design process of parent-child interactive products, emotional design can enhance the user experience and encourage positive emotional responses from users.An in-depth exploration of emotional design in educational parent-child interactive products reveals its significant influence during the promotion of such products. The design revolves around the emotional needs of users, with the overall design process centered on improving user experience and focusing on the emotional value of the product.
Increasing Importance of Body Intelligence-The Age of Feeling
Authors: Fukuda Shuichi
Published: June 2024

Changes in our world is occurring rapidly, with yesaterday's changes being smooth and predictable, while today's changes are sharpt and unpredictable, Therefore,, it is essential to be context-aware at all times, as immediate decision-making is crucial. Sensation and feeling , rather than reason, play a significant role in the process, with germplasm being a necessary component.
Innovative Biosensor based Aeromedical Monitoring Solution for Specific Military Medical Evacuation Scenarios
Authors: Haid Florian , Almer Alexander , Weber Anna , Bergen Markus , Bauer Gerald
Published: June 2024

Natural disasters, industrial accidents, or outbreaks, as evidenced by the COVID-19 pandemic, underscores the importance of preparedness in managing immediate evacuation of affected individuals. Infectious diseases pose the risk of compromising the transport environment by potentially contaminating the interior of the transport vessel. Addressing this challenge, this paper presents the DEKO-AirTrans solution introducing the development and implementation of a mobile evacuation system, tailored for use aboard the C-130 Hercules aircraft. The system features a flexible cell construction anchored to a multifunctional HCU-6 pallet, enveloped in a specifically designed protective tent material with high filtration and air permeability qualities to avoid contamination of the C-130 interior. Integrated sensor systems and wireless biosensors allow for continuous health monitoring of transported individuals, ensuring medical oversight during transport. DEKO-AirTrans represents an advancement in the air evacuation domain, offering a cost-effective, rapidly deployable, and flexible solution for the safe transport of highly infectious or contaminated persons. The system's design ensures quick setup, ease of storage, transportability, and compatibility with existing standards, highlighting its potential as a solution for emergency medical evacuation scenarios.
Explainability of Industrial Decision Support System using Digital Design Thinking with Scene2Model
Authors: Muck Christian , Tschuden Julia , Zeiner Herwig , Utz Wilfrid
Published: June 2024

To ensure the acceptance of decisions made in complex cyber-physical environments, orchestrated between human and machine actors, not only the developers need to understand how a decision is reached, but also the decision-makers and stakeholders affected by the decisions. To this end this contribution discusses how high-level visualisations can be derived to support the explanation of decisions using OMiLAB’s digital design thinking approach in an inverse manner.These visualisations will not be mere pictures, but diagrammatic models, containing additional information, which is understandable to machines, allowing to process them during an enrichment phase and interactively explain their involvement and impact to the users. The representation as conceptual models enables a) the cognitive perception by human actors, b) the machine interpretation for semantic lifting (focusing on elevating understandability) and c) further design iterations to adapt the system to become adequate and effective from a design but also operational perspective.
Explainability as a means for transparency? Lay users' requirements towards transparent AI
Authors: M Werz Johanna , Borowski Esther , Isenhardt Ingrid
Published: June 2024

With the rise of increasingly complex artificial intelligent systems (AI), their inner processes have become black boxes. The failure of some systems and the largely unregulated market of digital services have prompted governments and organs such as the EU to work on legislation for regulation. Their main requirement is that AI must be transparent for all stakeholders. While AI developers and experts have worked on interpretability and Explainability, social scientists emphasize that explainable AI is hardly understandable for lay users. The question arises as to whether the concept of Explainability can be used to create transparency for laypersons and what (additional) requirements these users might have towards transparent AI.To answer the questions, three fictitious AI apps were discussed in focus groups with n=26 participants. The apps differed in their domain and error significance to be able to identify system dependent requirements.The results indicate that lay users have different expectations and requirements for transparency in AI than technical experts: (a) previous experience with domain and system(s) strongly shape transparency demands, (b) background information beyond Explainability concepts is highly relevant for building trust, and (c) the system factor error-significance acts as a burning glass for transparency requirements.As a summary, the qualitative study shows that Explainability cannot serve as the only means of making systems transparent for lay users. Possible implications for system development are discussed. These implications apply in particular to AI that addresses lay users, i.e. non-computer experts.
Business creation activities to optimize the outcomes of RDI projects in an applied science university – The Spin&Launch incubator
Authors: Reunanen Tero , Oliva David
Published: June 2024

Universities of applied sciences and other high education institutions are expected to act as catalysts of innovations and innovators. Optimally, the research, development and innovation work they perform should produce a positive number of new startups spinning off from their project portfolio. The performance of a school within a high education institution from Finland was evaluated with respect to value creation to the local business ecosystem. The evaluation considered parameters like number of RDI projects, projects’ budget, achieved technology readiness level in each project, and the number of companies (new or existing) directly benefiting from the developed innovations. The results revealed that a good portfolio including over 200 projects, from small and fast-paced student projects to more complex national and international projects, didn’t transform in a satisfactory number of new companies spinning off from the school activities. The reasons for non-satisfactory performance were evaluated at managerial, personnel, and student levels. The two most important reasons were mindset to start entrepreneurial activities and the lack of an action plan for innovation deployment after project official ending date. An action plan was subsequently designed to improve the performance. The new Spin&Launch incubator was conceived. The incubator services are available for all local individuals and companies aiming to develop new and scalable business activities from technology-based innovations. The service concentrates in three specific action areas; Team Building – help to find the right skills from our students and personnel, Innovation Validation – action plans to verify the real value of the innovation, and Funding Reach – support to write funding applications and perform efficient pitching and networking. Benchmarking of the new incubator against other incubators and accelerators from Finland confirmed the suitability of the three specific action areas taken in, because those were not normally covered by others, and here a further reason for tight co-operation with other incubators. This paper explains in detail the analysis process, the support work within each of the three specific actions, the benchmarking process, and the first experiences of the Spin&Launch incubator with real innovation cases.
Team-Centric Innovation: The Role of Objectives and Key Results (OKRs) in Managing Complex and Challenging Projects
Authors: Zierock Benjamin , Blatz Matthias , Karcher Kris
Published: June 2024

Within the intricate landscape of IT projects, managing complexities, optimizing task allocation, and incessantly refining work methodologies stand as fundamental imperatives. Spanning from sophisticated infrastructure management to pioneering AI tool testing, IT projects demand methodologies adept at navigating intricacies while ensuring optimal outcomes.In this context, the Stacey Matrix [1] emerges as a critical tool for analyzing project complexity and uncertainty within the IT domain. This model provides invaluable insights into diverse challenges, guiding efficient task and resource allocation while emphasizing the need for adaptability and responsiveness in IT endeavors.John Doerr's seminal work, "Measure What Matters" [2] underscores the significance of Objectives and Key Results (OKRs) as a transformative approach. In the realm of IT, where innovation and performance are paramount, OKRs serve as compass points, guiding projects toward strategic objectives and fostering accountability at every level. Whether optimizing IT service delivery or fortifying cybersecurity frameworks, OKRs infuse clarity and agility into IT ventures.Furthermore, the integration of Lean Startup principles, as advocated by Eric Ries in "The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses" [3] amplifies the innovation quotient within IT projects. By emphasizing validated learning, iterative experimentation, and a customer-centric approach, Lean Startup principles bolster IT ventures by nurturing a culture of adaptive problem-solving and rapid prototyping.This study seeks to explore the interplay between the Stacey Matrix [4], Lean Startup methodologies and OKR frameworks within the realm of IT projects. By examining practical applications in areas such as IT infrastructure management, AI tool testing, and cybersecurity enhancement, it endeavors to illustrate how the synergistic integration of these approaches addresses complexities in IT projects and fosters iterative improvements within the dynamic landscape of information technology.(1)Hopp, C., Vargo, S.L.: The Stacey matrix and service ecosystems: insights and opportunities. J. Serv. Manag. 30(4), 444–459 (2019)(2)Doerr, J. (2018). Measure What Matters: How Google, Bono, and the Gates Foundation Rock the World with OKRs. USA: Penguin Publishing Group.(3)Ries, E. (2011). The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses. Vereinigtes Königreich: Crown.(4)Zierock, B., Jungblut, A., Senn, N. (2023). Chaotic Customer Centricity. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1832. Springer, Cham. https://doi.org/10.1007/978-3-031-35989-7_24
Wide scope of applications of the SSAT toward the optimization of user experience
Authors: Bedny Inna
Published: June 2024

In this paper we are demonstrating application of the Systemic Structural Activity Theory (SSAT) to a wide range of applications. We will show how SSAT has been applied to the reduction of task complexity, to the enhancement of the efficiency of performance, to the improvement of user friendliness of various applications and to the reliability of performance. Our purpose here is to firstly demonstrate how the founder of SSAT Gregory Bedny applied his theory and demonstrated it efficiency.We will also show how other scientist implemented SSAT in their research in a wide variety of areas such as medicine, decision making, human-computer interaction, Web design, AI, healthcare, etc.Our goal here is also to show that SSAT has great potential for future application in a variety of research areas.We, for example are considering to apply this theory to the study of the user friendliness of cell phone apps that have their own specific restrictions and users’ demands. SSAT is a high-level generality theory. There are a number of methods of task and human performance analysis that have been developed within this framework. Our paper will briefly describe these methods and mention examples of utilizing these methods in order to enhance product quality, improve user experience, minimize human errors and increase the probability of successful results of human activity in a variety of areas of human activity demonstrating that behavior action require mental efforts for their regulation. SSAT provides a deep understanding of the relationship between external motor and internal cognitive action that are basic elements of human activity. Suggested by SSAT methods can be applied to traditional and computer based human activity.This paper will also discuss motivational aspects of human activity and the role they play in success or failure of an enterprise. We will touch on such aspects of human activity as its complexity and difficulty and their correlation with motivation. SSAT pays special attention to the cognitive components of human activity and demonstrates the methods of making the activity less complex and reducing the memory load. These aspects are equally important in both production and non-production environments.The above-mentioned methods can be successfully utilized in the design of a variety of products from apps and AI to kitchen appliances because they allow to take into account human emotions, motivation, memory load, usability aspects, etc. They can also be applied to devising the most efficient methods of work or non-work-related tasks. We will discuss the analytical level of product design and the implementation of the suggested methods to the training process.This paper will cover the existing applications of SSAT and the opportunities of using its methods in the future research.
An Introduction to Single-Case Experimental Designs for Applied Human Factors and Ergonomics
Authors: Laraway Sean , Snycerski Susan , Pradhan Sean , Huitema Bradley , Rantz William , Whitehurst Geoffrey , Battiste Vernol
Published: June 2024

Experimental designs help human factors and ergonomics (HFE) scientists and professionals make decisions about the causal effects of interventions on measures of human cognition, emotion, and performance. HFE researchers have typically used traditional between-subjects, within-subjects, and mixed experimental designs to do so. Although these designs will continue to play an important role in HFE research, some research questions and applied problems do not easily lend themselves to the use of these designs. This is particularly true when a study focuses on the performance of single individuals or two or more individuals performing as a single unit, and/or researchers find it difficult or impossible to obtain enough individuals from the population of interest to achieve sufficient statistical power for traditional experimental designs. In these situations, single-case experimental designs (SCEDs), can offer effective and flexible alternatives to traditional experimental designs. In this paper, we describe the general characteristics of SCEDs and the two most common designs, withdrawal and multiple-baseline designs using HFE examples. SCEDs have demonstrated potential to identify effective interventions for individuals in a variety of domains and contexts relevant to HFE.
An explorative study of nuclear operators' perception of groupthink
Authors: Kaarstad Magnhild , McDonald Robert , Odéen Daniel
Published: June 2024

Operators in nuclear power plant (NPP) control rooms work together as a team where each team member has specific roles and areas of responsibility. In some situations, the crew dynamics are poor, and the group's effectiveness will be reduced. A phenomenon that often has been linked to poor crew dynamics is called groupthink. Due to potential negative outcomes of groupthink, it is important to gain more knowledge about the concept. In this paper we ask: How do NPP operators perceive causes, symptoms and consequences of groupthink and possible ways to avoid it? To explore this question, we conducted a study with NPP operators. Findings from the explorative study, as well as recommendations for further work, are presented in this paper.
Influences of Information Processing Modality on Mental Workload Recognition Performance Based on EEG Feature Extraction
Authors: Guo Sinan , Jia Wanchen , Ding Lin , Miao Chongchong
Published: June 2024

Accurate recognition of mental workload is significant for optimizing the human-machine interaction and avoiding the regrade of task performance levels due to overloading or underloading of mental workload. In past studies, the use of Electroencephalogram (EEG) signals has shown high performance in the recognition of operators' mental workload levels, however, most of the studies were conducted using a single visual modality task or dual visual modality tasks. But in real-world operational tasks, auditory-visual modalities tasks are commonly involved, and there have been relatively few researches on the EEG recognition of mental workload levels in auditory-visual modalities tasks. Therefore, in this research, visual single modality task scenario and audio-visual dual-modality task scenario were set up based on simulated flight experiments. For each task scenario, two levels of mental workload were induced by the differences in task complexity. Twenty subjects were recruited and their NASA-TLX scales and EEG signals were collected during the experiment. Two types of feature extraction methods were used, including Power Spectral Density (PSD) and Common Spatial Pattern (CSP), to recognize the mental workload levels. The research results indicated that the information processing modality did not have a significant influence on the performance of recognition for mental workload based on EEG feature extraction.
Assessing the Effects of Fatigue on Cognitive Performance for Shift Workers in the Petrochemical Industry: A Scoping Review
Authors: Alhujailli Ashraf
Published: June 2024

Each industry has its challenges and risk factors for workplace fatigue, shaped by the nature of the work, the work environment, and regulatory frameworks. The petrochemical industry requires shift systems to keep their productions operational continuously. These systems pose significant risks associated with worker fatigue. Workers are frequently exposed to hazardous chemicals, posing a risk to their health and further exacerbating fatigue. It might lead to decreased safety and productivity. To investigate this issue, we conducted a scoping review of literature published according to PRISMA guidelines in the past two decades using Scopus, Web of Science, and Embase databases. The objective is to investigate the question: "What does the current literature indicate about the effects of fatigue during shift work in the petrochemical industry?". Our review highlights the complex relationship between shift work patterns and their physiological and psychological impact on workers in this industry. Our paper aims to provide industry-specific recommendations and interventions that effectively reduce the adverse effects of shift fatigue in the petrochemical sector.
Experimental Paradigms and Their Knowledge Associations in Studies of Information Processing: A Review
Authors: Zhang Lan , Wu Xiaoli , Yan Biao , Li Qian , Yang Xingcan
Published: June 2024

Experimentation is the foundation of empirical science and is an important research method of mental cognition. The experimental paradigm, as an important part of experimental research method, is a relatively fixed task program, which is mainly used to describe certain psychological phenomena clearly and accurately. However, the application of experimental paradigms is characterized by mixed task content and complex paradigm type. This paper reviews typical experimental paradigms which are used to study information-processing such as perception, attention, working memory and long-term memory, in terms of paradigm origins, task procedures, research results and development. Based on the review of various experimental paradigms, the knowledge relevance between them are further sorted out in the aspect of task procedure characteristics and research trend. It provides reference for the application and design of experimental paradigms in studies of information processing.
Proposing a DESM-based analytical framework for the enterprise cyber defender
Authors: Rufus Rahmira , Greer Jeff , Clark Ulku , Stoker Geoffrey , Johnston Thomas
Published: June 2024

This paper proposes an analytical framework for the next generation of cybersecurity architecture and strategy to assist the enterprise cyber defender. We built an enterprise system model for practitioner use by leveraging representative enterprises as critical infrastructure operators to achieve a learning objective. The learning objective is to assist the cyber defender with developing the enterprise cybersecurity architecture and strategy via the framework. The focus is to investigate an awareness, education, and training (AET) approach aimed at human factors concerning the role of the enterprise cybersecurity architect, where one architectural perspective is concerned with the successful operation of the enterprise. In contrast, the other is focused on the operation not failing. The goal is to identify the cybersecurity practitioner’s progress outcomes via a process prescribed by the Descriptive Enterprise System Model (DESM) as an adapted analytical framework for cybersecurity architect utilization (Clark et al., 2023). The objective is to 1st utilize the framework’s three-tiered structure and 2nd that the process targets resolving Crume’s three key factors for cybersecurity architecture roles and tools: (1) understanding how the system operates, (2) what is the potential for failure, and (3) what is the threshold to circumvent failure (Crume, 2023)?
Cracking the Code: A Cyber Security Escape Room as an Innovative Training and Learning Approach
Authors: Buckley Tash , Buckley Oliver
Published: June 2024

This project explores the unique potential of physical escape rooms to foster embodied learning of cyber hygiene practices for the general public, addressing the challenges of traditional methods in engaging learners. It begins with a comprehensive review of existing training methodologies, highlighting their limitations, and underlines the necessity for more interactive learning experiences due to the increasing complexity of cyber threats. The core idea revolves around using escape rooms as educational and training tools, combining immersive, interactive elements with key cybersecurity principles to foster engagement and enhance retention. The paper includes a framework for integrating cybersecurity into escape room scenarios, discussing aspects like storyline development, puzzle design, and the inclusion of real-world cybersecurity challenges, while maintaining a balance between learning and gameplay. The conclusion presents initial findings on the effectiveness of escape rooms in cybersecurity education and training, showing positive impacts on engagement and behaviour, and suggests further research to refine this method.
Narrative apparatus in archaeological museums and communication for all
Authors: Benente Michela , Minucciani Valeria , Semeraro Melania
Published: June 2024

This paper focuses on the communication in museums, intended as solutions, both verbal and perceptive, to involve visitors and convey messages.Captions and panels are the first and most evident components of museum communication, and can entail difficulties of different nature: from the language for insiders to the inadequate font dimensions. Nevertheless, space can create atmospheres and communicative environments even without words or explicit references. Involving other senses than the sight, we are more exposed to them and less vigilant in recognising and critically evaluating them. This matter involves all audiences, but it can create considerable differences between audiences that are more or less culturally equipped to recognise implicit messages. From the other sides, the communicative power of spatial signals can be exploited to reach people who do not feel like reading, and are suspicious of long speeches and an abundance of information.Finally, if verbal communication and spatial environment create a consistent system, they can be much more effective. This paper examines in particular the archaeological heritage and its difficulties to reach a very heterogeneous audience. The inclusive solutions should tend to overlap different tools, avoiding to explicitly “target” them. The Authors question how to decline design for all, if by fruition we do not only mean making contact but understanding the message (above all the values, not only the information content); they question how to adapt the modes of narration to the perceptive but above all cognitive capacities: a profound rethinking is needed since the translation from one medium to another one is not enough. Lastly, they wonder what role space and its perception play and how exhibition design can influence/help, given that the mediation of content for archaeological heritage encounters "ideological and cultural rather than practical or economic" limits and difficulties.In particular, this paper is based on the outcomes of two surveys carried out in Musei Reali Torino and Museo Nazionale Etrusco di Villa Giulia (Rome), revealing the difficulties in transmitting contents and enabling visitors reflect on them.
Virtual Reality for Cultural Heritage: emotional involvement and Design for all
Authors: Minucciani Valeria , Benente Michela , Bottino Andrea , Strada Francesco
Published: June 2024

Virtual Reality (VR) is emerging as a powerful tool in the cultural heritage sector, offering unprecedented opportunities for integration and accessibility. Applying the principles of "design for all" in VR is critical to unlocking these opportunities while addressing the associated challenges to ensure that these digital experiences are democratic and accessible to all. At its core, VR technology provides an immersive way to experience existing and lost or inaccessible sites, for various reasons such as conflict, environmental hazards or simply the ravages of time. VR democratizes access to these experiences and overcomes physical, economic and geographic barriers. This not only promotes cultural understanding and appreciation, but also bridges the gap between different cultures and histories. However, the integration of VR into cultural heritage is not without its challenges. The digital divide and the specific needs of different user groups, including older people and people with disabilities, present significant barriers. There is a need to design VR experiences that are not only technologically advanced but also cater to the different abilities and needs of users. This includes considering different sensory modalities for input and output (visual, auditory, haptic) and creating interfaces that are intuitive and adaptable. Features such as customizable user interfaces and navigation metaphors, personalized auditory explanations and varying degrees of complexity are designed to meet the different needs and preferences of different target groups. This ensures that VR experiences are not only visually appealing, but also suitable for users with different abilities. Improving accessibility and inclusivity also serves as a foundation for deeper exploration of emotional engagement in virtual heritage. The immersive cultural experience in VR goes beyond mere playfulness. It has the potential to evoke profound cultural and emotional responses. In particular, this paper explores how VR can engage users emotionally so that a visit to a virtual heritage site is as enriching and engaging as a visit to a real site. It emphasizes the importance of understanding how all users interact emotionally with virtual environments, as this is key to designing empathic VR experiences. Ongoing research into measuring the body's emotional responses in VR environments is a cornerstone of this work. This paper explores these aspects to contribute to the development of VR experiences that are not only technologically advanced, but also emotionally engaging and accessible to a wide range of users. In this way, the role of VR in the field of cultural heritage can be strengthened, becoming not only a tool for education, but also for empathy and cultural exchange.
Inclusivity vs Exclusivity. Applying Design for All and Universal Design principles in the field of Nautical Design
Authors: Di Dio Salvatore , Filippi Mauro , Inzerillo Benedetto , Morvillo Samuele , Russo Dario
Published: June 2024

This study explores the application of universal design principles in the field of nautical design, aiming to develop products and services that are accessible and functional for all, including individuals from traditionally excluded groups. Utilizing Co-Design methodologies, we actively engaged individuals and communities, including the elderly and people with disabilities, in the design process. By analyzing initiatives such as the “Azzurra600” project, we demonstrate how such approaches can eliminate physical, cognitive, and emotional barriers, promoting universally accessible and customizable solutions. The findings indicate that our methodology not only facilitates social inclusion and reintegration but also establishes genuinely inclusive design protocols that consider both the end recipients and the participants in the creative and productive processes.
Cultural perception of dominant color in static systems
Authors: Gil Tejeda Jorge , Olmos Pineda Lorena
Published: June 2024

Color is a fundamental component of various systems as well as a crucial aspect of everyday life for members of a given culture. Numerous studies have been conducted on how humans distinguish different colors, the effects of color on human behavior and risk factors, cultural differences in color perception, among many others. The goal of this empirical study was to evaluate how certain language components affect the perception of dominant color in certain static objects. To this end, a categorization of the static objects to be analyzed was generated, for which 18 digital works by Van Gogh were chosen. Additionally, the dominant color of each work was determined based on a color sample from each image, and color cards were generated using the hexadecimal system. Sixty-six volunteers were surveyed, who provided self-reported data on their age and context, and were given the freedom to select the color card that they believed corresponded to the dominant color in each presented image. Additionally, users were allowed to individually explore each image and its components. The findings show that there is a variation in the perception of the dominant color in the category of components integrated by textures in relation to the perception of color in the category of components integrated by people-animals, and everyday objects.
Transforming Multi-Layered Plastic Waste into Upcycled Functional Art: A Sustainable Approach to Plastic Recycling
Authors: Sharadh Patel Sarthak , Kumar Dhananjay , Dev Samrat
Published: June 2024

Today, the environment is threatened by different sources, and the environmental impact of plastic trash has become increasingly critical day by day, with the use of multi-layered plastic presenting particular difficulties because of its slow breakdown and enduring nature. Therefore, the study aims to predesign some useful art, lifestyle, and industrial products made from upcycled materials and address the problem of multi-layered plastic trash in an inventive way.For this study, a detailed survey was conducted among 106 randomly selected people aged 18 to 55 years. A comprehensive questionnaire was developed and performed to determine their opinion about the use of plastics, their impact on the environment, and sustainable products. They may buy or use any product made of upcycled plastics, and the answers to these questions helped to shape the environmental carelessness of multi-layered plastic. Further information about the possible market for these products was obtained from end-sellers. To collect the multi-layered plastic packets like Maggie, chips, biscuits, etc., we appointed a few people and took the help of a small restaurant or food stall to store the packets. By involving local communities, this collection technique attempts to lessen the negative effects of multi-layered plastic on the environment. Finally, based on user feedback and market research, we try to develop a few products after following the design process. After the analysis of the questionnaire, it was found that most users were aware of the side effects of multi-layered plastics and their adverse effects on the ecosystem. From the research, one interesting point came out: people are interested in buying products made of recycled plastic. So after brainstorming and based on the users and market trends, developing useful products by using design-thinking ideas was the focus of the research. Plastic packets that were collected were turned into yarn and weaved into textiles to make a variety of items, including laptop bags, pouches, totes, book covers, and bags. Through the development of handicraft skills, this method not only promoted employment prospects but also addressed environmental issues. According to the study's findings, implementing such a strategy can successfully increase public knowledge of inventive plastic recycling and help to lower environmental pollution. Additionally, the approach offers a viable way to create jobs while encouraging the incorporation of environmentally beneficial behaviors into daily life. This study promotes a change in approach towards creative, neighborhood-focused solutions to address the expanding issue of plastic trash.Finally, we can conclude that awareness related to multi-layered plastics is required and simultaneously increases the utilization of the used plastics for art, lifestyle products, and any industrial products that not only give an alternative to the users but also bring new sources of employment.
Crafting Improved Vision: A Comprehensive Evaluation of Products Supporting Individuals with Vision Challenges
Authors: June He Juanjuan , Chen Koya
Published: June 2024

Eyewear serves as a crucial aid in enhancing vision for a diverse range of users. Yet, finding devices tailored for individuals with specific vision challenges related to aging, such as glaucoma, macular degeneration, and Diabetic Retinopathy, proves challenging in standard optical stores. This article conducts a systematic review of available products in the market designed to enhance vision for those facing the mentioned visual impairments. The study's conclusion provides valuable insights into enhancing vision care for both patients and clinical practitioners, along with an overview of the products accessible in the market.