Daily Use Of Technology Research Articles

Recurrent neural network based multiclass cyber bullying classification

Cyberbullying is one of the crimes that arise rapidly through the daily use of technology by different types of people and, most notably, by sharing one’s opinions or feelings on social media in a harmful manner. It has several negative effects on society such as depression, anxiety, suicide, and so on. At the same time, it reduces productivity, causes psychological damage that can last a lifetime and increases violence among people. To prevent cyberbullying or take necessary steps against the harasser, the first step is to detect cyberbullying. Several works exist to detect and classify cyberbullying but a few works have been carried out to classify cyberbullying in the Bengali Language. As the number of people is increased day by day who communicate on social media using the Bengali language, it is crucial to address this situation and improve both accuracy and robustness to detect and classify cyberbullying. For this purpose, we propose an NLP-based model using machine learning and deep learning algorithms to detect and classify Bengali comments on social media. This research specifies cyberbullying comments using a multiclass classification strategy. Kaggle and Melany are used to collect the dataset to train and evaluate our model. The dataset contains 56308 Bengali comments, consisting of four distinct categories. The categories are not bully, trolls, sexual, and threats. We use different machine learning algorithms such as Support Vector Machine, Logistic Regression, Random Forest, XGBOOST, Multinomial Naïve Bayes, Deep learning algorithm, Recurrent Neural Network (RNN), and two fusion models. Along with that effective preprocessing steps are implemented to get a suitable dataset. In this study, the Recurrent Neural Network gives the best accuracy, which is 86%. The accuracy of our model is good enough to help social media users and encourage them to practice morality.

Digital Transformation Readiness Model in Government

Along with the rapid development of information technology, Digital Transformation (DT) has become a part of everyday life. The COVID-19 pandemic has triggered the occurrence of DT at every level of society in the daily use of technology. However, the implementation of DT is very slow and inefficient and even becomes a problem for employees and the organization. DT implementation in the public sector is expected to be the key to the Government's success. However, many governments fail to implement DT because it only focuses on modernizing technology, not as a whole. Therefore, it is necessary to conduct a study to analyze the marwanfactors of Digital Transformation (DT) Readiness in Government. This research is a qualitative research method with thematic analysis and Fuzzy Delphi method by conducting a Systematic Literature Review (SLR) first for literature study. Based on the results of the SLR, found five dimensions and 19 factors that affect DT Readiness in Government. The five dimensions are People, Process, Technology, Organization, Environment. Based on the thematic analysis results, three additional factors were found in the people dimension: mindset, and organizational factors, namely risk management and knowledge management. This study also provides a model proposal based on the analysis results presented in a conceptual model with 21 analyzed factors. The research can provide understanding factors that affect the readiness of DT in the Government and as the basis for decision-making by stakeholders in the Government.

Health Technology Access and Peer Support Among Digitally Engaged People Experiencing Homelessness: Qualitative Study.

Although the effects of digital health are receiving wide scientific attention, very little is known about the characteristics of digitally engaged people experiencing homelessness, especially in Central and Eastern Europe. Our previous research revealed a considerable level of internet use in the homeless population of Budapest, Hungary, for general purposes (350/662, 52.9%) and medical purposes (229/664, 34.6%). Moreover, a digitally engaged subgroup was identified (129/662, 19.5%). The aim of this exploratory study was to map out the resources, attitudes, and behaviors of digitally engaged homeless individuals in relation to digital technology to set the basis for potential health policy interventions, which will enable better access to health services through strengthening of the digital components of the existing health care system. Between August 18, 2022, and October 27, 2022, a total of 12 in-depth semistructured interviews were conducted in 4 homeless shelters in Budapest, Hungary. Upon analysis by 3 independent evaluators, 2 interviews were excluded. The interviewees were chosen based on purposive sampling with predefined inclusion criteria. Thematic analysis of the transcripts was conducted. In the thematic analysis, 4 main themes (attitude, access, usage patterns, and solutions for usage problems) emerged. Health-related technology use mostly appeared in health information-seeking behavior. Online search for prescribed medications (5 interviews), active ingredients of medications (4 interviews), medicinal herbs believed to replace certain pills (2 interviews) or foods, and natural materials (1 interview) were mentioned. Moreover, mobile health app use (3 interviews) was reported. The intention to circumvent or check on mainstream health care solutions was mainly associated with previous negative experiences in the health care system. Several gaps in the daily use of technology were identified by the interviewees; however, more than half of the interviewees (6/10) turned out to be contact points for their peers for digital problem-solving or basic digital literacy skill enhancement in the homeless shelters. Furthermore, a lack of institutional support or special programs targeting senior clients was noted. Digitally engaged homeless individuals might become mediators between their peers and comprehensive digital health programs. They have the trust of their peers, can recognize and harness the benefits of digital technology, and are able to provide meaningful help in technology- and usage-related issues through experience. Digital health services have great promise in community shelters for managing and preventing health issues, and digitally engaged individuals might be important for the success of such services.

From Typing to Talking: Unveiling AI’s Role in the Evolution of Voice Assistant Integration in Online Shopping

This study develops a theoretical framework integrating the Technology Acceptance Model (TAM) and Uses and Gratifications Theory (UGT) to predict and understand the acceptance of voice shopping intentions, particularly through AI-driven voice assistants. This research delves into the dual aspects of AI voice shopping platforms: the functional attributes outlined by the TAM and personal gratifications highlighted by the UGT, such as enjoyment, performance expectancy, and perceived safety. It uncovers a favorable user attitude towards voice shopping, emphasizing the significant role of performance expectancy and perceived utility on behavioral intentions. Key insights include the critical importance of security and privacy for user trust and the acceptance of new AI technologies, and the necessity of a balanced approach that merges functional, emotional, and security aspects for successful AI integration in daily technology use. Contrary to expectations, this study reveals a weak relationship between social norms and perceived usefulness, suggesting a misalignment with societal expectations. This research enriches the understanding of voice shopping using virtual assistants, offering valuable insights into consumer behavior and AI technology acceptance. It highlights practical implications for AI research, the development of voice-based software, and AI-driven advertising strategies, emphasizing the communication of benefits and emotional resonance in voice-enabled AI assistants for consumer purchases.

Perspectives of telemedicine: a cross-sectional study among health care personnel

Background: Telemedicine is the remote delivery of medical services. There has yet to be sufficient data in our community on perspectives on telemedicine. Therefore, this study aimed to evaluate the perception and attitude of physicians and medical students in Bisha region toward telemedicine. Methods: A cross-sectional study was conducted among physicians in ten hospitals and primary health care centers in Bisha and medical students at the College of Medicine, University of Bisha, Saudi Arabia. A structured, self-administered online questionnaire with optional participation was distributed. Results: 239 responses were received with diverse distribution among different ages, genders, nationalities, occupations, and frequencies of daily technology use. The participants showed 60.3% acceptance of telemedicine, especially its helpfulness in transferring information among sectors. Various sociodemographic-dependent debates were retrieved regarding the viability of telemedicine approach, its integration ability, time and money saving, and flexibility. The frequency of personal computer use correlated positively with the participants’ perceptions and attitudes (p=0.001 and 0.003). A positive attitude was retrieved from 79.1% of participants, with readiness to obtain telemedicine training for better professional growth, especially in non-Saudi personnel. The lack of suitable equipment, patient satisfaction and compliance, weakness of the doctor-patient relationship, familiarity with technology, and extra load for physicians were the most prominent barriers mentioned by the participants. Conclusions: Meetings, training, and orientation programs still need to be scheduled for the general population, healthcare personnel, and information technologists to override the weaknesses in community awareness and telemedicine deficiencies and to get the benefit of this technology.

Infrastructure at home: Technology, intimacy, and ageing in China

This study adopts an ethnographic approach to examine how digital technology used at home ‐ mobile platforms and smart devices ‐ shaped the intimacy of ageing adults (aged 55 to 65) in Beijing. China’s fast-ageing population and its ambition to be a high‐tech superpower are some of the conditions that have necessitated the mobilisation of governmental ideas that link population management to technology development. This study built on Ara Wilson’s (2016) essay “The Infrastructure of Intimacy” by including critical infrastructure studies to examine how practices of intimacy are translated and operationalised through daily technology use at home. Data analysis was conducted using three frameworks: (1) making intimate: familiarising and reconnecting; (2) materialising intimacy: gifts, bonding, and avoidance; and (3) self‐intimacy (re)structured: choices, self‐love, and empowerment. The ethnographic data unveils the pivotal role of intimacy in the use of technologies and platforms by the ageing informants in managing their relationships between the self and their family and social relations. With its profound functionality in broadening the practices of intimacy, such as strengthening self-worth and self‐realisation, the daily use of digital technology at home also made it easier for the ageing informants in this study to deter, replace, and lessen their need for physical interactions. The findings suggest that normalising older adults’ active use of technology at home will further advance the technologisation of Chinese society while enhancing intimacy in the ageing population.

A framework for designing applications to support knowledge construction on learning ecosystems

We are building a society increasingly immersed in digital contexts. In this transformation process, mainly because of the daily use of technology, several contexts of our lives are changing, including education and the school itself, which have especially received IT support to be carried out in an informal and personalized way. Learning ecosystems, if properly promoted, could be a partner of this school. In this paper, we propose a Framework to support the modeling of Smart Learning Environments (SLE) capable of stimulating interactions (including location-based interactions) in the diverse ecosystems in which we participate and thus support the construction of knowledge. We also present some SLEs designed with the Framework to demonstrate the practical result of its use and others for validation purposes.

A Taxonomy of user-perceived privacy risks to foster accountability of data-based services

Data protection risks play a major role in data protection laws and have shown to be suitable means for accountability in designing for usable privacy. Especially in the legal realm, risks are typically collected heuristically or deductively, e.g., by referring to fundamental right violations. Following a user-centered design credo, research on usable privacy has shown that a user-perspective on privacy risks can enhance system intelligibility and accountability. However, research on mapping the landscape of user-perceived privacy risks is still in its infancy. To extend the corpus of privacy risks as users perceive them in their daily use of technology, we conducted 9 workshops collecting 91 risks in the fields of web browsing, voice assistants and connected mobility. The body of risks was then categorized by 11 experts from the legal and HCI-domain. We find that, while existing taxonomies generally fit well, a societal dimension of risks is not yet represented. Discussing our empirically backed taxonomy including the full list of 91 risks, we demonstrate roads to use user-perceived risks as a mechanism to foster accountability for usable privacy in connected devices.

E-readiness of EFL teachers

Integrating recent technologies into the education environment is one of the dynamic requirements for teachers of digital age learners. Such requirements oblige teachers to have adequate technology competence and know-how to integrate them into their pedagogical practices. Thus, the present study intends to illustrate English Language teachers' technology readiness profile in a city located on Turkey's southwestern Mediterranean coast. Adopting a mixed-method research methodology, the gathered data were examined to answer the research questions. Findings revealed that over half of the participants have decidedly negative attitudes towardstechnology integration, and they are not ready to use them in their teaching environments. Additionally, findings revealed a reverse relationship between teachers' daily technology use and e-readiness in their classroom practices. Thus, results showed that the e-readiness of mostEnglish Language teachers in the region is entirely below the expectations. Concerning the findings, we suggest that functional and pleasing training, either as in-service or certified promotions, should be organized to nurture positive attitudes towards technology use in the classroom and increase teachers' e-readiness and acquaintance with technology.

Pre-registration nursing students' perceptions of their baseline digital literacy and what it means for education: A prospective COHORT survey study

BackgroundTo build complex digital skills and capability required by digitally-driven work environments, we must first understand nursing students' baseline digital literacy if educators are to develop a fit for purpose curriculum underpinned by digital health technologies. ObjectiveTo determine first-year pre-registration nursing students' perceived baseline digital literacy before their first clinical placement. DesignProspective cohort study. SettingsTwo universities in Australia in 2020. ParticipantsStudents enrolled in pre-registration nursing programs at Bachelor's and Master's level. MethodsParticipants (N = 205) completed an online 27-item survey composed of a Likert-type scale, forced-choice items, and open-ended questions. Data were analyzed with descriptive statistics. ResultsParticipants engaged with digital technology early in life, with 49.75% students using some form of digital technology before ten years of age. Students reported the highest daily use of technology to search the internet for information (92%), online social networking (68.3%) and watching videos (67%). Most students expressed the least confidence in identifying different types of portable storage devices (24.1% Master's students; 41.7% Bachelor's students), describing the advantages of a digital camera (39.3% Master's students; 48.3% Bachelor's students), and totaling numbers in spreadsheets (22.8% Masters students; 48.3% Bachelor's students). No statistical differences were observed between the two universities or the two cohorts in terms of perceived confidence in using technology and software applications to support their learning. Interestingly, 24.7% of participants expressed high confidence in using electronic medical records without prior training, which may reflect positive attitude towards engaging with unknown digital technologies. ConclusionsNursing students are frequent internet and social media users. However, despite positive attitudes to digital technology and widespread presence of digital technology in students' lives, deficits in students' confidence in using digital technology and software required for learning persist. Targeted digital literacy education interventions are needed as part of foundational nursing studies to improve nursing students' baseline digital literacy before commencing clinical placement. These should be scaffolded across the program to ensure an effective transition to nursing practice in evolving digitally-driven healthcare environments.

Bangla hate speech detection on social media using attention-based recurrent neural network

Abstract Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in detecting hate speeches in English, German, and other languages, very few works have been carried out in the context of the Bengali language. In contrast, millions of people communicate on social media in Bengali. The few existing works that have been carried out need improvements in both accuracy and interpretability. This article proposed encoder–decoder-based machine learning model, a popular tool in NLP, to classify user’s Bengali comments from Facebook pages. A dataset of 7,425 Bengali comments, consisting of seven distinct categories of hate speeches, was used to train and evaluate our model. For extracting and encoding local features from the comments, 1D convolutional layers were used. Finally, the attention mechanism, LSTM, and GRU-based decoders have been used for predicting hate speech categories. Among the three encoder–decoder algorithms, attention-based decoder obtained the best accuracy (77%).

Does Adolescent Digital Technology Use Detract from the Parent-Adolescent Relationship?

A population-representative sample of young adolescents (N=2,104, mean age 12.4) reported on digital technology use and relationships in 2015. A subsample (N=388) completed a 14-day ecological momentary assessment in 2016-2017 via mobile phone. Across the 2,104 adolescents, those who reported more social networking site engagement were more likely to live in families characterized by more family chaos and to report that their online experiences resulted in problems with their parents. However, when the subsample of adolescents was followed daily, there was little consistent evidence that adolescents' quantity of daily digital technology use detracted from the amount of time they spend interacting with close others (including parents) nor that adolescent daily technology use was associated with more negative or less positive parent-adolescent interactions.

Patient preferences for using technology in communication about symptoms post hospital discharge

BackgroundTechnology is increasingly transforming the way we interact with others and undertake activities in our daily lives. The healthcare setting has, however, not yet realised the potential of technology solutions to facilitate communication between patients and healthcare providers. While the procedural and policy requirements of healthcare systems will ultimately drive such solutions, understanding the preferences and attitudes of patients is essential to ensure that technology implemented in the healthcare setting facilitates communication in safe, acceptable, and appropriate ways. Therefore, the purpose of this study was to examine patient preferences for using technology to communicate with health service providers about symptoms experienced following discharge from the hospital.MethodsPrimary data were collected from patients admitted to a large metropolitan hospital in Australia during three consecutive months in 2018. Participants were asked about their daily use of technology including use of computers, email, phone, text messaging, mobile applications, social media, online discussion forums, and videoconference. They were then asked about their use of technologies in managing their health, and preferences for use when communicating about symptoms with health service providers following discharge from hospital.ResultsFive hundred and twenty-five patients with a wide range of differing clinical conditions and demographics participated. Patients indicated they used a range of technologies in their everyday lives and to manage their health. Almost 60% of patients would prefer to return to hospital if they were experiencing symptoms of concern. However, if patients experienced symptoms that were not of concern, over 60% would prefer to communicate with the hospital via telephone or using technology. Admitting condition, income, and age were significantly associated with preferences for communication about symptoms following hospital discharge.ConclusionsPatients have varied preferences for communicating with their health service providers post-hospital discharge. Findings suggest that some, but not all patients, would prefer to use technology to traditional methods of communicating with the healthcare team. Health services should offer patients multiple options for communicating about their recovery to ensure individual needs are appropriately met.

Addition Of Cryptographic Algorithm For Bitmap Image Security Of Medical Record Information System Electronics (Rme)

In the daily use of technology, humans cannot be separated from the internet as a need to exchange information. People at this time spend more time in front of computer screens, laptops, even smartphones to find out information, send data to some of their friends. One of the information that is often sought or sent is a file. Apart from that, image files are files that are much searched for and sent, and many also contain important information in them. Image file security is of course very important so that unauthorized parties do not hack or manipulate information from the image. There is a way to secure information so that it does not leak to unauthorized parties, namely by using cryptography and steganography. By combining these two methods, you can maintain the confidentiality and security of a file, especially image files. In this study the algorithm and method used is the AES cryptographic algorithm (Advanced Encryption Standard) 256 and the LSB (Least Significant Bit) steganography method. Data integrity needs to be tested to ensure that the encryption and decryption processes are running properly. Data integrity testing uses the SHA-1 method. Likewise, the image quality after insertion will experience a decrease in quality. To evaluate this, it is necessary to test using the PSNR method. From the results of data integrity testing by comparing the hash value of the decrypted image file with the original image file, there is no difference. So this shows that the encryption and decryption process was successful. While in testing using the PSNR method, the average PSNR value is 44.14086 dB and with an average error value of 2.830403 dB, which means there is a small decrease in quality. From the implementation and testing results, it can be concluded that the AES 256 cryptographic algorithm and the steganography method LSB can be implemented in maintaining the confidentiality and security of secret messages.

Mobile technology dominates school children’s IT use in an advantaged school community and is associated with musculoskeletal and visual symptoms

This paper describes the contemporary use of information technology devices by children in a socio-educationally advantaged school. A sample of 924 children (50% girls) from grades 5 to 12 (ages 10–19 years) completed an online survey in class. Total daily technology use was high and similar for girls (mean 219 (SD 148) mins/day) and boys (207 (142), p=.186). Tablet computer was the dominant device used in grades 5–9, with laptop computer the dominant device in grades 10–12. Patterns of exposure were influenced by gender, device, grade and purpose of use interactions. For example, girls used mobile phones more than boys for social purposes for grades 10 and 11, but not grade 12. Whilst children’s attitudes to technology use were positive, musculoskeletal and visual symptoms were commonly reported. Hours/day tablet and phone use was related to neck/shoulder discomfort (OR = 1.07; 1.13) and visual symptoms (OR = 1.10; 1.07).Practitioner Summary: Technology use by children appears to be quite different now to a decade ago. This paper describes contemporary school children’s use of various devices for various purposes. The survey of >900 children found high technology use, dominated by new mobile technologies, and associations with musculoskeletal and visual symptoms.

Online Favela: The Use of Social Media by the Marginalized in Brazil

Based on fieldwork over six months in the favelas (urban slums) of Vitória, Brazil, this paper focuses on the motivations, engagements and adoption of social media by marginalized people in community technology centers (CTCs). It asks the following questions: (1) what is their experience using CTCs? (2) How does their experience inform the ways we should think about what constitutes empowerment vis-à-vis social media? This paper emphasizes the socio-cultural aspects of social media practices among marginalized people and attempts to understand such aspects and practices from their perspective. It argues that theoretical positions stemming from technology utilitarianism need expanding, because mundane and non-instrumental practices observed in the favelas shed light on the importance of technology in a variety of dimensions within people's lives. Encompassing such practices contributes to a broader comprehension of the engagements and ingenious strategies that help shape the daily use of technology by marginalized people.

Resident Use of the Internet, E-Mail, and Personal Electronics in the Care of Surgical Patients

Background:The use of smartphones, e-mail, and the Internet has affected virtually all areas of patient care. Current university and hospital policies concerning the use of devices may be incongruent with day-to-day patient care. Purpose: The goal was to assess the current usage patterns of the Internet, e-mail, and personal electronics for clinical purposes by surgical residents as well as their communication habits and preferences. Also assessed was residents’ knowledge regarding the institutional policies surrounding these issues. Methods: Surgical residents (n = 294) at a large teaching institution were surveyed regarding their knowledge of university policies as well as daily use of various communication technologies. Communication preferences were determined using theoretical clinical scenarios. Results: Our survey with a response rate of 54.7% (n = 161) revealed that 93.8% of participants indicated daily Internet use for clinical duties. Most respondents (72%) were either completely unaware of the existence of guidelines for its use or aware but had no familiarity with their content. Use of e-mail for clinical duties was common (85%), and 74% of the respondents rated e-mail as “very important” or “extremely important” for patient care. Everyone who responded had a mobile phone with 98.7% being “smartphones,” which the majority (82.9%) stated was “very important” or “extremely important” for patient care. Text messaging was the primary communication method for 57.8% of respondents. The traditional paging system was the primary communication method for only 1.3% of respondents and the preferred method for none. Conclusions: Daily use of technology is the norm among residents; however, knowledge of university guidelines was exceedingly low. Residents need better education regarding current guidelines. Current guidelines do not reflect current clinical practice. Hospitals should consider abandoning the traditional paging system and consider facilitating better use of residents’ mobile phones.

Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits

The American Academy of Pediatrics recommends no screen time for children under the age of 2 and limited screen time for all children. However, no such guidelines have been proposed for preteens and teenagers. Further, research shows that children, preteens, and teenagers are using massive amounts of media and those with more screen time have been shown to have increased obesity, reduced physical activity, and decreased health. This study examined the impact of technology on four areas of ill-being—psychological issues, behavior problems, attention problems and physical health—among children (aged 4–8), preteens (9–12), and teenagers (13–18) by having 1030 parents complete an online, anonymous survey about their own and their child’s behaviors. Measures included daily technology use, daily food consumption, daily exercise, and health. Hypothesis 1, which posited that unhealthy eating would predict impaired ill-being, was partially supported, particularly for children and preteens. Hypothesis 2, which posited that reduced physical activity would predict diminished health levels, was partially supported for preteens and supported for teenagers. Hypothesis 3, that increased daily technology use would predict ill-being after factoring out eating habits and physical activity, was supported. For children and preteens, total media consumption predicted illbeing while for preteens specific technology uses, including video gaming and electronic communication, predicted ill-being. For teenagers, nearly every type of technological activity predicted poor health. Practical implications were discussed in terms of setting limits and boundaries on technology use and encouraging healthy eating and physical activity at home and at school.

Examining Shades of Grey with Students: Social Justice Education in Action

The researcher undertook a critical examination of an innovative social justice education course being piloted at an urban high school in the prairie region of western Canada. The research involved observations, conversations, document analysis, and in-depth interviews with a small number of students and teachers, in order to analyze the daily experiences, challenges, and successes of a group of students and teachers who have undertaken to address issues of discrimination, social justice, and human rights in their school. This research links ongoing academic and school work by focusing attention on the experiences of a specific group of students and their teachers in a unique and promising social justice education program. Findings point to a number of strengths of the course, including the comprehensive nature of the information surveyed, the strong theme of student involvement, the passion and commitment of the teachers, their honoring the complexity of understanding current social justice issues, the appropriateness of the course to student interests and strengths, the inquiry approach taken by the teachers, and the daily use of technology and the Internet in their learning.