Reviewerly/exHarmony huggingface dataset:
aural-visualiser 1000: physical interaction design for materializing moments

The aural-visualiser 1000 is a prototype that reorients a user towards understanding the world from an auditory perspective instead of a primarily visual one. By attending to everyday audio instead of vision, the device asks the user to pay attention to the world in a more embodied way. Developed as a means of experimenting with the capacity of physical interaction design to support being present in the world differently, it records audio from everyday life and creates mementos for later reflection and interpretation. The mementos, paper receipts with abstract sound visualizations on them, offer a means of remembering experiences as they were to be there, instead of as they were recorded through image or video.
Designing for collective survival:

As various global crises increasing (environmental, poverty, population aging, wellbeing), we might be facing a future that is close to some apocalyptic visions. What role can design and HCI practitioners play in the far away future and what can we learn from that experience for today is something we need to explore. In this workshop, we want to create a design fiction based game which aims to explore the different ways how the more-than-human world will need to collaborate to be able to create livable conditions for all. Throughout the workshop, the participants will co-create a game that will envision an apocalyptic future and explore what role we could play in it. Through solving different apocalyptic scenarios, we want to explore the different skills and approaches designers might need to engage with to be able to contribute to the world. We hope this playful experience will help designers, HCI practitioners and researchers to reflect over their own current practices in relation to which future they are helping to co-create.
Digital Rituals in Performance: Transitions to Internet of Things Trust and Security

Most HCI studies are WEIRD – they focus on participants from White, Educated, Industrialized, Rich and Democratic countries. This paper presents a case study of a participant named Chitra from the city of Kahani in India as a non-western perspective of ubiquitous technology in an oppressive political context. We identify digital rituals as talismanic responses to mistrust in ubiquitous computing environments. Findings from the case study show how digital rituals open up transformative states, allowing transitions from mistrust in the digital to feelings of trust, security and comfort. Through the identification and discussion of digital rituals in performance we open up a new design space around the transformative potential of digital rituals in the ubiquitous Internet of Things.
MoLux: Negotiating Control with a Shape-Changing Lamp at Home

MoLux is a shape-changing lamp designed to address some of the grand challenges in shape-changing interfaces (SCI). This includes the challenges of understanding the user experience, integrating interaction into the artefact, and conducting in-situ comparative studies with SCI. MoLux uses bi-directional and direct interaction, deploys shape-change for input and output, and enables manipulation of two independent shape-changing parameters. Through an in-situ study, we investigated how users experienced living with MoLux over four days. The study compared three different interaction paradigms; direct, indirect, and negotiated control. Our findings reveal that most users preferred negotiated interaction as well as enjoyed living with the shape-changing lamp. Our results further contribute some methodological lessons and implications for designing SCI for the home.
Design Principles for Actual Security

The importance of designing for actual security, i.e., security in practice, is underlined by previous work. However, clear design principles for actual security are missing. This paper reports early work on establishing such design principles based on heuristic evaluations of security-enhancing applications. Seven experts evaluated the actual security of four applications for secure email communication. Based on a qualitative analysis of the experts’ findings, we formulate six design principles for actual security that apply to secure email, secure communication, and other security-enhancing applications.
ARC - Seamlessly Switching between Drawing, Conversation and Real World Object Manipulation in AR

ARC is an AR drawing tool for the HoloLens 2, and it has three different activation techniques for drawing. There is Pinch&Menu, which is the baseline technique, influenced by modal, commercial solutions. Then there is Gaze and Two-hand, both techniques that are a combination of modes and quasimodes. Each technique has been tested in a user study where the purpose was to explore what gave the participant the most seamless experience, in terms of being able to switch between interacting with the physical and digital world.
Towards Participatory Design Facilitation as Reflective Practice

Facilitators of participatory design activities have a large impact on the form of participation and the output of such activities. Yet, the facilitator role and role-related practices have not yet been thoroughly problematized in human–computer interaction and participatory design literature. With the goal of exploring different perspectives on the facilitator role and ways to support reflective facilitation practice, we propose a workshop intended to strengthen the community of researchers and practitioners interested in participatory design facilitation as a methodological challenge. In particular, the workshop seeks to explore ways by which a reflective facilitation practice can be supported.
Time and its Study in Design Ideation Processes

The theme of the workshop is the real-life impact of time on the emergence and development of design ideas. The main focus of creative research, including on design ideas, has been on getting a creative idea and on the idea itself [1]. As a result, the ways in which ideas are developed, presented, and interpreted has been left underexplored [2]. Without this recognition of the real-life impact of time on creative ideas, it might seem as if these ideas sprung up “spontaneously” in that event, but the reality is very different. The underrecognition of time on creative processes has also led to a lack of recognition of what the analytical ‘cuts’ [5] of these models do. In this workshop, we want to bring time and the temporality of creative design processes to the forefront, so we might develop a greater sensitivity to time in our design research, a better understanding of its impacts, and a more precise method toolbox. Our one-day workshop will consist of a keynote lecture, research presentations, lively discussion, and group brainstorming.
Phenomena and risks of the profession-forming space in the modern society

Aim to analyze the factors actively influencing the professionalization process using the phenomenological approach. Such factors are globalization, the current epidemiological situation and digitalization. The phenomenological analysis revealed the characteristics of the professional space specific for the information society. These characteristics allow us to determine the trends in the process of professionalization. The main indicators that mark the changes in the profession-forming space are deprofessionalization and shift of professional values of modern individuals, being, at the same time, the main risk factors of this process.
Digital Microscopy using Online Mapping Technology: a Solution for Oral Pathology Education in Virtual Learning

Objective: Our study aimed to develop a database containing high-quality digital oral and maxillofacial pathology (OMFP) slides without the high cost of whole slide imaging (WSI) for students and educators in low-income countries.&#x0D; Methods and Materials: First, general expectations and criteria of the software were determined by asking the OMFP specialists and students during focus group meetings. Then, we generated a digital OMFP slides database available in different angles and magnifications. Next, with assistance from programmers, the offline software was linked to the database and piloted to evaluate the software faults. Users were also asked to assess the software and the evaluation continued until reaching the desired outcome. Finally, the updated version was presented to 27 dental students (third- and fourth-year) during their clinical pathology course. Students’ opinion toward the database was then evaluated using a standard questionnaire. Students’ scores were also compared to that of the last semester.&#x0D; Results: Our findings showed that most students found the digital pathology software helpful, easy to use, reliable, well-organized, consistent, inclusive, and helpful. Overall, the participants regarded the experience as satisfactory. There was no significant difference between the students’ exam scores compared with the population average.&#x0D; Conclusion: According to our results, digital pathology slides can improve oral pathology education and help dental students and professors in clinical and practical learning.
A viewer and a movie: looking for the meaning

Aim to identify the basic states of a person in the process of watching a movie and to determine the point when the meaning is constructed. Three states of the viewer are analyzed: "before", "now", "after". Their specific features in relation to the formation of meaning are revealed.&#x0D; The author comes to the conclusion that this construction, which is significant for the viewer, refers to the "after" state, which is associated with the grasping of the problems posed in the film in the past and reflection on them. The factors influencing this process are the ordinary experience, biographical circumstances, the distance of perception. But in the modern world, in the conditions of the growing attention of the viewers to film reviews, states are being replaced, which leads to the substitution of the meanings of the real world and the loss of the possibility of their identification with the help of cinema.
The Effectiveness of the Public Relations Department of the Palestinian Police in Raising Public Awareness of Cyber Blackmailing During the Covid-19 Pandemic

The study aimed at identifying the effectiveness of the public relations department of the Palestinian police in raising public awareness of cyber blackmailing during the Covid-19 pandemic. The study adopted a descriptive research method, and a two-form questionnaire was developed as the research tool to obtain relevant data from two study samples of the target population. The first study sample included a public audience. The researchers used simple random sampling and collected (469) valid questionnaires that achieved conformity to the specified requirements. The second study sample included the Palestinian police personnel. Using simple random sampling, the researcher collected (50) valid questionnaires that achieved conformity to the specified requirements.
The Role of the System of Internal Control in Improving the Financial Performance of Water Authority of Jordan in the COVID-19 Pandemic

This study aimed to demonstrate the role of internal control in improving the financial performance in Water Authority of Jordan in COVID-19 Pandemic, and dealt with the dimensions of internal control according to COSO framework. (85)E-questionnaires were distributed to all Financial employees for (2021), that be used (SPSS) to analyze data, the study concluded there is a role for internal control in improving the financial performance in Water Authority of Jordan in The COVID-19 Pandemic at a high rate. and recommended working to raise the academic and professional qualification for the top administrations employees and their acquisition of certificate (CPA, CMA, CFA), in addition to They need to work on settling water price tariffs so that it reflects the fairness of water distribution and the fairness of providing water services to customers, which helps in increasing revenue.
The Impact of Entrepreneurial Orientation on Innovative Performance in Jordanian SMEs During the Covid-19 Pandemic

The purpose of this research was to evaluate the impact of entrepreneurial orientation (EO) in the setting of Jordanian SMEs, and to empirically examine the relationship between entrepreneurial orientation (EO) and its dimensions, namely innovativeness, risk-taking, and proactiveness, and innovative performance. As a result, data were gathered through a questionnaire survey given to 361 managers/owners of SMEs in Jordan, with a specific emphasis on those based in Zarqa city. 221 questionnaire surveys were recovered and declared suitable for analysis out of the 361 disseminated. IBM SPSS Statistics 22 was used in analysis of the data. The findings indicate that entrepreneurial orientation does have a significantly positive link with innovative performance. However, the entrepreneurial orientation aspects of innovativeness, risk-taking, and proactiveness were shown to have a negligible influence on innovative performance. According to these findings, the researcher suggests that Jordanian SMEs prioritize the entrepreneurial orientation aspects explored in this study in order to strengthen their entrepreneurial culture and innovative performance.
Faculty’s Satisfaction Degree of Distance Training on Using Blogs in Teaching During the Pandemic

Within the framework of the effort to prevent infection with the Corona virus and as a precautionary measure to preserve the safety of both sides of the educational process, many Arab countries have resorted to distance education. Saudi universities, including Imam Abdulrahman Bin Faisal University, have responded to the developments caused by the pandemic by moving towards electronic training, by employing all infrastructure and strategies to shift to e-learning and distance education. This is due to the knowledge of these universities of the importance of continuing training, which is a major factor in the development of the university’s inputs; this reflects positively on the quality of the outputs. This study came to examine the degree of satisfaction of IAU members with the online training provided to them on the use of blogs in education during the pandemic, and whether there are statistically significant differences in the degree of IAU members’ satisfaction with the training as a whole due to a number of variables, using the descriptive approach, and the distribution of a questionnaire to (35) members who attended the training, and the data was analyzed using the SPSS program. The study found that the degree of members’ satisfaction with the training provided to them online on the use of blogs in education during the pandemic is very high in all fields, and the fields were arranged in descending order as follows: the field of the trainer, the content. There were statistically significant differences in the degree of members’ satisfaction with training in favor of the trainer. The study recommended the adoption of training for all members of the university so that the benefit would prevail.
An efficient reusable attribute-based signature scheme for mobile services with multi access policies in fog computing

Fog computing is an emergent computing paradigm that supports the mobility and geographic distribution of Internet of Things (IoT) nodes and delivers context-aware applications with low latency to end-users. In fog computing, the critical obstacle restricting widespread deployment is security and privacy, especially how to build a lightweight fine-grained message authentication scheme in fog computing. In this paper, we first propose and give the formalization definition to a new variant of the attribute-based signature primitive (ABS), which we called Verifier-Policy Attribute-based Signature (VP-ABS). Distinct from the traditional ABS, in our VP-ABS primitive, the signature generated by the signer is decoupled with the access policy, which means the signer can generate a signature associated with some of his own attributes. Therefore, our VP-ABS can be reusable for multiple access policies. Then we also give a concrete VP-ABS construction over Type-3 pairing under Linear Secret Sharing Scheme (LSSS) policy which supports both AND and OR access gates. In addition, we rigorously prove our VP-ABS scheme is existentially unforgeable in the selective policy model under the adaptive chosen message attack (sP-EUF-CMA). Next, we give the feature comparison and theoretical analysis to our VP-ABS scheme as well as some other representative attribute authentication schemes to show the comprehensiveness of our scheme. To prove the correctness of the theoretical analysis and test the actual performance, we also do simulation experiments. Finally, we use our VP-ABS scheme to build an attribute-based fine-grained message authentication scheme for fog nodes in mobile microservices architecture with multiple access policies.
SACS-ABE&amp;B: Supervised Access Control Scheme Based on Attribute-Based Encryption and Blockchain

Aiming at the problem of illegal data sharing of malicious users in the access control scheme based on attribute-based encryption, an access control scheme that can restrict the sending ability of data owners is proposed. By adding a sanitizer to sanitize the ciphertext, it can ensure that parties who do not adhere to the system control policy cannot share information effectively. The scheme is constructed based on blockchain, and the traceability of access process can be realized. Off-chain storage can also lower the blockchain storage load. The scheme meets the No-Read and No-Write rules, achieves chosen-plaintext attack security under the random oracle model, and can against quantum attacks. As a result of theoretical analysis and experimental simulation, the scheme has certain feasibility and practical significance.
Progressive Rain Removal Based on the Combination Network of CNN and Transformer

The rain removal method based on CNN develops rapidly. However, convolution operation has the disadvantages of limited receptive field and inadaptability to the input content. Recently, another neural network structure Transformer has shown excellent performance in natural language processing and advanced visual tasks by modeling global relationships, but Transformer has limitations in capturing local dependencies. To address the above limitations, we propose the combination network of CNN and Transformer, which fully combines the advantages of CNN and Transformer structure to complete the task of image restoration. We use CNN to provide preliminary output and adopt Transformer architecture to further optimize the output of CNN. In addition, by using some key designs in module connection, our model strengthens feature propagation and encourages feature reuse, allowing better information and gradient flow. The experimental results show that compared with the existing methods, our method can remove the rain lines more comprehensively and achieve the state-of-the-art results. Besides, the experimental results also demonstrate that the CNN structure can be effectively combined with Transformer to fully utilize the superiority of different structures.
Relaxed design conditions using Takagi-Sugeno fuzzy models and Lyapunov-Floquet transformation for controlling time-varying periodic systems

This manuscript approaches the Takagi-Sugeno fuzzy control technique, the Lyapunov-Floquet transformation, and their applications for controlling linear time-varying systems. Each of the techniques is applied in the control of a linear time-varying periodic system in order to compare their effectiveness. A hybrid control method involving the Takagi-Sugeno fuzzy control and the Lyapunov-Floquet transformation is proposed. In this method, the stability of the closed-loop system is mathematically guaranteed. In addition, this new procedure can reduce the conservatism of time-varying periodic systems with uncertainties in the input matrix. Finally, an application of the hybrid method is presented in a time-varying periodic system considering a constraint on input and uncertainties on the input matrix.
Security Issues and Vulnerabilities in Web Application

Role of web security has become an important topic as web and web application became quite demanding and people started using them every day. Last year we saw slight growth in web attacks and exploitation of their vulnerabilities. For example: Recently on the website of one of the largest airlines, Air India, an attack was performed where user’s credit card and sensitive information was captured. Input validation issue has resulted in many web application vulnerabilities. Broken access control, improper error handling, etc., are some of the examples of web security vulnerabilities. It is quite easy to acknowledge and eschew many of the web vulnerabilities. Regrettably many of the web developers are not security aware, which causes many of the web pages and websites to be vulnerable on the Internet. In this paper, Authors have discussed some popular web security vulnerabilities to detect them by providing some security mechanisms and some results to safeguard our web applications. It is a challenging and difficult task to protect our web application from vulnerabilities as nearly every day new techniques, tools, and methods are being invented by the attackers. It is one of the essential parts to know what various types of vulnerabilities are and how to detect and secure them from attackers.
Evaluating Various Classifiers for Iraqi Dialectic Sentiment Analysis

Nowadays, social media outlets involve peoples’ opinions, reactions, and emotions. Sentiment analysis classifies the text from those sites into negative or positive polarity. Over the years, a multitude of researchers studied Arabic sentiment analysis but most of them focused on standard Arabic language. However, the Arabic dialects should have much concentration by researchers. Therefore, the main focus of this research is the sentiment analysis of the Iraqi Arabic dialect. The data sourced from Facebook platform (Posts and Comments), the most popular social media site in Iraq. Then, the data passed through several preprocessing steps and weighting methods. The processed data then passed into comparative experiments with six machine learning algorithms including Naïve Bays, Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), Random Forest, and K-Nearest Neighbor (KNN). The results indicated the highest accuracy achieved by Naïve Bays with 81.2%, followed by SVM and LR with 74%, while DT and Random Forest achieved accuracy 64% and 63%, respectively. The worst result was achieved by KNN algorithm of 57%.