Reviewerly/exHarmony huggingface dataset:
Augmenting Our Reality: the Philosophical Foundations of AR-technology

The article presents an analysis of the key issues considered within the fra­mework of such a relative new trend in foreign philosophy as the philosophy of augmented reality. Augmented reality (AR) technology, which allows integrat­ing images of virtual objects into the surrounding physical environment, is be­coming increasingly popular today for solving a wide range of tasks related to the implementation of everyday digital communications. Nevertheless, rela­tively little attention is paid in modern philosophy to its conceptual understand­ing, since a significant proportion of philosophical research is still focused on the study of virtual reality technology, as well as on the analysis of various fantastic scenarios for the development of computer simulations. At the same time, many developers and media theorists claim that augmented reality will become the key technology on the basis of which most of our future digital practices will de­velop. For this reason, the author has attempted to analyze the main problems that foreign researchers pay attention to when analyzing this technology. These are, first of all, problems related to the conceptual explanation of the term “aug­mented reality” and the study of the metaphysical status of virtual objects gener­ated by the corresponding AR devices. In addition, the article briefly outlines the issues of epistemology and ethics of augmented reality. The author concludes that it is important to further develop philosophical studies of augmented reality, since, unlike virtual reality, the technology in question has long been actively implemented in almost all areas of our socio-cultural interactions and, as a result, has a significant impact on our daily lives.
Digital Intelligence and Investment in Digital Real Estate Assets in the Metaverse: Literature Review

Digital technologies has transformed human experience in the virtual world. Metaverse work as a network of 3-D virtual worlds where human can interact, carry out business, and build connections through their ‘avatars’ or digital identity. These would also grant an access to digital ecosystem through its own currency, property and possessions. In the metaverse, disruptive technologies (such as AR and VR, Blockchain, AI, 3D reconstruction and IoT) support the trading of digital real estate assets (such as sales and purchase of virtual lands) in the form of Non-Fungible Tokens (NFTs). Investment in real estate metaverse is currently experiencing a great return. Presently, real estate sales in the metaverse have been concentrated on the 'Big Four' — Sandbox, Decentraland, Cryptovoxels and Somnium. Therefore, investment in digital real estate assets require some degree of skills and competencies in the metaverse. The concept of digital intelligence is a set of skills needed by investors to meet digital technologies' demand in trading of digital real estate assets and the virtual world's challenges. This paper therefore explore the need for digital intelligence in investing in digital real estate assets in the metaverse from a theoretical perspective. Review of relevant literature in the subject area was adopted for this study. This paper outlined the major benefits of digital intelligence in the purchase of digital real estate assets as identifying the virtual land with the highest traffic, understanding the digital footprints in a geospatial context among others. This paper provide policy implication on the need for investors in digital real estate assets to acquire necessary digital skills (such as digital: identity, rights, security, safety etc.) for a successful business transactions (sales and purchase of digital assets) in the metaverse.
The impact of Enabling Collaborative Situations in AR-assisted consignment tasks

The introduction of emerging technologies is often an opportunity to redesign the workstation. The Enabling Collaborative Situation (ECS) is a theoretical proposal that aims to deploy the operator’s activity in a collaborative situation with an emerging technology. This approach often seems to be neglected by designers. It is a practical tool for industrialists to guide the design of new work situations as well as for the evaluation of existing situations. An experiment was designed to reproduce a consignment operation. The initial situation corresponded to a classic situation with a paper-based operating procedure. The second situation was assisted by an augmented reality (AR) device and corresponded to either a good intensity of ECS or a low intensity of ECS (which is classically observed in a factory). This study has succeeded in creating an ECS, and it is well perceived as such by the subjects, but the different improvements are not perceived as important enough to make the overall experience better (satisfaction, comprehension, accessibility, performance, etc.). As it was a first attempt, the transformations of the situation were limited. This low intensity of change may explain some of the results of the experiment, but this first attempt also shows the originality and the interest of this work.
Transformer-based high-fidelity StyleGAN inversion for face image editing

Recently, there have been many methods utilizing pre-trained GAN generators for image editing. To apply these methods to the editing of real images, it is necessary to invert real images into the latent space before proceeding with the editing process.Existing GAN inversion methods have difficulty providing both high-fidelity inversion and high editability for face images. The most common inversion method based on the W+ space has enough ability to describe image details, but sacrifices editability. To address this problem, this paper proposes a Transformer-based StyleGAN inversion model to achieve high-quality editing of real face images. This paper uses the code of the StyleGAN2 mapping network as the initial query vector and the image features extracted by a CNN encoder as the key and value. Multiple updates to the query vector are made using a multi-head cross-attention module, and the final output query vector is used as the latent code of the inverted image and fed into the generator. The experimental results prove that our method can provide high-fidelity inversion for face images, and the edited images can effectively preserve identity information while achieving precise control over attributes.
Correction to: Analysis of Ensemble Methods for Phishing Detection

The original version of Chapter 4 was published with incorrect author names
Phishing and Cybercrime Risks in a University Student Community

In an exploratory quasi-experimental observational study, 138 participants recruited during a university orientation week were exposed to social engineering directives in the form of fake email or phishing attacks over several months in 2017.These email attacks attempted to elicit personal information from participants or entice them into clicking links which may have been compromised in a real-world setting.The study aimed to determine the risks of cybercrime for students by observing their responses to social engineering and exploring attitudes to cybercrime risks before and after the phishing phase.Three types of scam emails were distributed that varied in the degree of individualization: generic, tailored, and targeted or 'spear.'To differentiate participants on the basis of cybercrime awareness, participants in a 'Hunter' condition were primed throughout the study to remain vigilant to all scams, while participants in a 'Passive' condition received no such instruction.The study explored the influence of scam type, cybercrime awareness, gender, IT competence, and perceived Internet safety on susceptibility to email scams.Contrary to the hypotheses, none of these factors were associated with scam susceptibility.Although, tailored and individually crafted email scams were more likely to induce engagement than generic scams.Analysis of all the variables showed that international students and first year students were deceived by significantly more scams than domestic students and later year students.A Generalized Linear Model (GLM) analysis was undertaken to further explore the role of all the variables of interest and the results were consistent with the descriptive findings showing that student status (domestic compared to international) and year of study (first year student compared to students in second, third and later years of study) had a higher association to the risk of scam deception.Implications and future research directions are discussed.
A Study on Issues and Improvement Plans for the Contribution Training Program for Local Public Officials at Metropolitan and Provincial Offices of Education

The purpose of this study is to identify the operational status of the contribution training program for local public officials in metropolitan and provincial offices of education, identify issues in the contribution training program for public officials, and prepare improvement plans. The conclusions and suggestions of this study are presented as follows. First, the contribution training program for local public officials meets the objectives of increasing welfare benefits at the individual level, resolving personnel backlogs at the organizational level, and social utilization of national human resources at the national and social level. However, it is necessary to change the name to ‘retirement competency development training for public officials’. Second, social criticism of non-working paid wages, public officials' demands to work until retirement, demands for effective training programs for social adaptation, and inefficiencies in manpower operation and management due to long-term dispatch of public officials, etc. Considering this, it is necessary to shorten the current contribution training period, but operate it differentially by position. Third, it is necessary to conduct periodic demand surveys on contribution training program and expand training programs to support active responses to reemployment and environmental changes. Lastly, in order to enhance the relevance and effectiveness of contribution training program, it is necessary to strengthen the connection between life cycle training for local public officials and retirement preparation education.
A Study on the Design and Operation of Prenatal Reading Education Programs

본 연구는 ‘태교 독서’가 태아를 위한 예비 부모들의 독서 활동임을 전제로, 태교 독서 교육 프로그램을 설계하고 예비 부모들이 올바른 태교 독서를 실천하기 위한 운영 방안을 제시하고자 한다. 연구 방법은 선행 연구와 실태 조사를 통해 교육 목표를 설정하고, 기존 태교 프로그램의 문제점을 분석한 후 2015 교육과정 독서 교과의 내용 체계를 근거로 설계하였다. 또한 이에 대한 세부적인 교육 내용과 운영 방안을 제시하였다. 연구 내용은 기존 태교 독서 프로그램에 ‘독서 교육적 목표와 방법’이 미약하고, 흥미 위주로 치우쳐 있는 점을 보완하여 우선 태교 독서 프로그램을 목표를 설정하였다. 이를 성취하기 위해 2015 개정 교육과정의 독서 교육의 내용 체계를 기반으로 태교 독서를 위한 ‘본질’, ‘분야’, ‘방법’, ‘태도’의 내용 체계를 설계하였으며, 세부 내용인 ‘독서 계획’, ‘도서 선택’, ‘독서 활동’. ‘독서 태도’ 에 해당하는 교육 내용을 학습활동의 예와 교재의 수준과 범위로 제시하였다.이를 토대로 운영 시에 고려해야 할 사항, 교수 전략과 피드백을 안내하였다. 태교독서프로그램은산모와 아이의 정서적 유대를 강화하고, 부부가 협력하여 주체적으로 태교 독서를 계획하고 실천하고 지속하는 것이다. 이러한 태교 독서 프로그램을 효과적으로 운영되기 위해서는 교수자가 태교 독서의 중요성을 산모에게 인지하도록 도와야 하며, 수업 이외의 시간에도 학습자와 소통하며 학습을도와야 한다. 수업 후에는 학습자의 자기 평가, 프로그램, 교수법 점검 등을 통해 태교독서 프로그램이 학습자의 요구와 시의성에 맞게 수정·보완될 수 있도록 해야 한다.On the premise that "prenatal reading" is a reading activity undertaken by prospective parents for their unborn child, this study aimed to design prenatal reading education programs and present operational measures for prospective parents to practice correct prenatal reading. The research method was designed based on the content system of the 2015 reading curriculum after setting educational goals through prior research and fact-finding surveys and analyzing problems with existing prenatal programs. In addition, detailed education contents and operation plans were presented. The contents of the study first set the goal of the prenatal reading program by supplementing the weak "reading educational goals and methods" of the existing prenatal reading program and the bias toward interest. To achieve this, based on the content system of reading education presented in the 2015 revised curriculum, a content system of 'essence', 'field', 'method', and 'attitude' for prenatal reading was designed with the details of 'reading plan', 'book selection', and 'reading activity'. Educational content corresponding to 'reading attitude' was presented as examples of learning activities and the level and scope of textbooks. Based on this, matters to be considered for operation, teaching strategies, and feedback were provided. The prenatal reading program strengthens the emotional bond between a mother and her child, and couples work together to plan, practice, and continue prenatal reading on their own. To effectively implement these prenatal reading programs, instructors must help mothers recognize the importance of prenatal reading, and communicate with learners to help them learn outside of class. After class, prenatal reading programs should be revised and supplemented to suit learners' needs and timeliness through self-evaluation, additional programs, and checking teaching methods.
Associative Classification with Classification Based Association (CBA) Algorithm on Transaction Data with Rshiny

Data mining can be used for businesses with large amounts of data. One of the data mining techniques is Associative Classification. It is a new strategy in data processing that combines association and classification techniques to build a classification model. This research used an associative classification technique on sales transaction data of Frozen Food Stores, which had sales transaction data on their business activities. It would be used in sales strategies to find items often purchased by class customers, namely, members and general. This research aimed to classify based on association rules using the CBA (Classification based Association) algorithm on sales transaction data. The application used the R programming language that business owners could use. The results of the rules obtained from the trial had the value of support, confidence, coverage, and lift ratio, which were the best value levels of a rule. The results of the rules that had the highest lift ratio value from all the data that have been inputted can be used as a reference to be implemented in sales strategies in knowing consumer needs.&#x0D;
Design of Three-Rimensional Point System Evaluation System for Enterprises Based on AHP

Starting from the management idea of the point system, based on the three dimensions of "fixed points-behavior points-task points", the paper constructs the evaluation system of enterprise points, and designs specific assessment indicators according to the five aspects of "morality, ability, diligence, performance and creation" according to its core daily behavior points, and finally adopts the AHP method to determine the points value. It is hoped that through this study, the labor efforts of employees in the work will be reflected in the form of points, mobilize employees' enthusiasm, and help the healthy development of enterprises.
A Web-Based Decision Aid for Informed Prostate Cancer Screening: Development and Pilot Evaluation

Prostate-specific antigen-based routine screening is not recommended for the general population due to conflicting results with mortality reduction. We aimed to develop a web-based decision aid (DA) for informed decision making for prostate cancer screening.Using the International Patient Decision Aid Standards (IPDAS) development process model, we developed our DA based on patient and clinician interviews and multidisciplinary expert discussions. The prototype consisted of predicting individual prostate cancer risk and informed decision-making, including knowledge, risk and benefit, cost, personal value, and decision making. We conducted a pilot study on 101 healthy men, evaluating the effectiveness of DA by measuring knowledge, attitude, and intention to screen before and after using the DA, as well as decisional conflict and usefulness after using the DA.Of the 101 participants (median age 60 [50-69] years), 84% had not undergone screening for prostate cancer in the past two years. After using the DA, knowledge on prostate cancer screening increased (mean score [of 10] before versus after: 6.85 ± 1.03 versus 7.57 ± 1.25; P < 0.001), and intention to not screen increased from 27.7% to 51.5% (P < 0.001), but attitude toward screening did not change (P = 0.564). After use of the DA, 79 participants reported no decisional conflict, and the usefulness score was high (mean score [of 100] 77.35 ± 7.69), with 85% of participants reporting that the DA helped with decision making.Our web-based DA yielded increased knowledge, decreased screening intention, and high perceived usefulness. These findings indicate potential clinical relevance, especially among younger individuals.
From Laboratory to Gallery: Transfer of Construction Principles of Scientific Knowledge into Works of Science-Art

Science-art is seen as an artistic practice that uses scientific theories, concepts and laboratory equipment as its main tools, and the creative method of artists is based on the principles of scientific experimentation. Using the methods of the sociology of science and technology of B. Latour and S. Woolgar to study science-art, it is found that scientific experimentation becomes the basis (medium) of this direction of contemporary art. Thus, science-art borrows not only material objects of the scientific world, but also ways of constructing scientific knowledge, which, according to B. Latour’s research, are hidden in the specifics of laboratory practices. Key in this case are “recording techniques”, which replace various data, diagrams, samples and materials in the production of scientific knowledge, and which become an argument in academic discussions. For science-art, the analogue of such written documents are curatorial texts and explications of works, which can be placed both directly in the exhibition space and form a complex system of references to various research materials, interviews with scholars, podcasts, etc. These texts and media texts allow us to use them in the exhibition space. These texts and media texts allow the viewer to perceive the context of the artist’s creative experiment and form a specific artistic complex “artobject — text — audience”. Together with laboratory practices, science-art brings the art and mechanics of constructing scientific knowledge into the sphere of art, unwittingly fulfilling popularizing and educational tasks. However, the conceptual complexity of the works and the focus on the process of scientific investigation rather than on the presentation of results bring back to the viewer the doubt of philosophical quest and a critical view of scientific research as basic elements of academic enquiry.
Students Report on ACM MMSys 2022

The 13th ACM Multimedia Systems Conference (and associated workshops: MMVE 2022, NOSSDAV 2022, GameSys 2022) happened from 14th -- 17th June 2022 in Athlone, Ireland. The MMSys conference is an essential forum for researchers in multimedia systems to present and share their latest research findings in multimedia systems. After two years of online and hybrid editions, MMSys was held onsite in the beautiful Athlone. Besides the many high-quality technical talks spread across different multimedia areas and the wonderful keynote talks, there were a few events targeted especially at students, such as mentoring sessions and the doctoral symposium. The social events were significant this year since they were the first opportunity in two years for multimedia researchers to meet colleagues, collaborators, and friends and discuss the latest hot topics while sharing a pint of Guinness or a glass of wine. To encourage student authors to participate on-site, SIGMM has sponsored a group of students with Student Travel Grant Awards. Students who wanted to apply for this travel grant needed to submit an online form before the submission deadline. The selected students received either 1,000 or 2,000 USD to cover their airline tickets as well as accommodation costs for this event. Of the recipients, 11 were able to attend the conference. We asked them to share their unique experience attending MMSys'22. In this article, we share their reports of the event.
Motion Sickness Susceptibility Among Malaysians When Travelling in a Moving Vehicle

Motion sickness is a common problem when travelling in a moving vehicle, especially on land transportation. This occurrence would signify when users are exposed to unexpected movement in an obstructed view. Each user can experience a different level of motion sickness, depending on their susceptibility. This paper aims to study the motion sickness susceptibility among Malaysians using Motion Sickness Susceptibility Questionnaires (MSSQ-Short). A total of 252 Malaysians (146 males and 106 females) completed a set of questionnaires. The questionnaire was distributed through electronic means such as Facebook, WhatsApp, Twitter, and email and consisted of demographic, MSSQ-Short, travel experience as a driver and passenger, and seating position. This study provides a correlation between experiencing motion sickness between childhood and adulthood (r = 0.124, p &lt; 0.05) for the Malaysian sample. This study concludes that Malaysian susceptibility is higher compared to other countries.
Electromagnetic Fault Injection Attack on ASCON Using ChipShouter

Electromagnetic fault injection (EMFI) is a deliberate technique used to induce faults in a device by exposing it to electromagnetic interference. ASCON is a lightweight cipher that offers better performance than other ciphers, making it suitable for IoT devices with limited resources. However, the use of lightweight ciphers on hardware devices can pose a significant security risk against EMFI attacks, which can manipulate both the device’s behavior and the implemented encryption algorithms. Our research used the ChipShouter, a specialized tool designed specifically for EMFI attacks on electronic devices. During these attacks, we intentionally exposed the M5STACK ESP32 Timer Camera (OV3660) module, on which we implement the ASCON algorithm, to electromagnetic pulses emitted by the ChipShouter. These pulses were directed at the PSRAM of the target device, where essential values such as plaintext, associated data, nonce, key, etc., are stored. Through the introduction of these pulses, we successfully inject faults and demonstrate the vulnerability of ASCON to EMFI attacks. To evaluate the impact, We test with different string sizes for input plaintext, namely 250 Kb, 500 Kb, and 1 MB. The results revealed that the fault injection percentages were as follows: 24% for the 250 Kb string size, 54% for the 500 Kb size, and 90% for the 1 MB size.
MobApp: A Data Visualization Tool for Trajectory Analysis

In this paper, we present a demo called MobApp, a data visualization application to facilitate spatio-temporal trajectories analysis. It aims to help domain analysts and practitioners/scientists to analyze and get insights from real-world trajectories. The tool supports: (1) exploratory analysis of trajectories, which allows users to visualize selected trajectories on a map and provides some statistics about trajectories’ points; (2) visualization of anomalous trajectories and the regions where the anomalies occur, detected by an anomaly detection model; and (3) evaluation of anomaly detection models to compare their performance.