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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Al Said, Nidal</text>
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                <text>Al-Said, Khaleel M.</text>
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                <text>The study aims to determine the impact of human-computer interface design on the development of mobile phones. The researcher used the descriptive analytical approach. The result shows the importance of smartphone such as communication with others, define the most important standards of application design such as efficiency and speed and determine the disadvantages of smartphones such as sleep problems and fatigue. In addition to, the study defines the HCI as science examines the design and use of computer technology, focusing on interfaces between people (users) and computers and determine the popular challenges which face HCI such as HCI designers face important challenges in how to ensure their design provides good HCI. The study recommended the need for further studies that support mobile phone and to deal with new platforms for iOS and Android, making usability tests for programs, applications and websites and qualify and train users with cognitive deficits in an appropriate manner to enable them to make better use of programs and applications.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/13943/7387</text>
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                <text>Copyright (c) 2020 Nidal Al Said, Khaleel Al-Said</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 11 (2020); pp. 107-125</text>
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                <text>1865-7923</text>
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                <text>Assessment of Acceptance and User Experience of Human-Computer Interaction with a Computer Interface</text>
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                <text>Alzyoud, Faisal Yousef</text>
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                <text>Alnuaimi, Abdallah Altahan</text>
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                <text>Al Shrouf, Faiz</text>
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                <text>The proliferation of smart devices, IoT applications and wireless communication technologies contribute in countries development, society’s security, cost reduction, and customer services satisfactions; since they are used in different aspects of our life. Traffic congestion and accidents are increased recently and reached critical limits, so these contribute in initiating sever problems for researchers, governments and industry over the last few decades. Traffic accidents have many defects relating to increase number of death, infrastructure distribution, and health injuries; therefore, there is a crucial need to develop and modify an approach that utilizes the new technology to limit and prevent the traffic accidents.  Wireless sensors networks are developed to support smart solutions in smart cities like smart traffic, smart grid and others. In this research we developed a comprehensive approach to achieve the following three important goals in smart accident elimination. The first goal is to minimize the number of exchange information packets between sensors to save the battery life through developing and adapting clustering schema to minimize the number of exchanges information packets. The second goal is to calculate and determine the optimum route from accident location to the nearest rescue location by developing a dynamic routing schema   that is calculated by the control station depending on a cost heuristics function. The third goal is to predicate the accident causes and minimize the probability of accidents occur using a warning message schema and drawing some obstacles on some routing paths. Cupcarbon simulator and MATLAB software tool are developed to simulate different scenarios in order to proof the research goals.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/19099/9601</text>
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                <text>Copyright (c) 2021 Faisal yousef Alzyoud</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 72-89</text>
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                <text>1865-7923</text>
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                <text>Clustering</text>
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                <text>Cupcarbon</text>
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                <text>Adaptive Smart Traffic Accidents Management System</text>
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              <elementText elementTextId="20010">
                <text>Al Tair, Hend</text>
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                <text>Zemerly, Mohamed Jamal</text>
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                <text>AL-Qutayri, Mahmoud</text>
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                <text>Leida, Marcello</text>
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                <text>Recommender systems currently used in many applications, including tourism, tend to simply be reactive to user request. The recommender system proposed in this paper uses multi-agents and multi-dimensional contextual information to achieve proactive behavior. User profile and behavior get implicitly incorporated and subsequently updated in the system. The recommender system has been developed and applied to the tourism domain. It was tested and evaluated by relatively large set of real users The evaluation conducted shows that most of the users are satisfied with the functionality of the system and its ability to produce the recommendation adaptively and proactively taking into considerations different factors.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/2012/2276</text>
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                <text>Copyright (c) 2017 Hend Al Tair, Mohamed Jamal Zemerly, Mahmoud AL-Qutayri, Marcello Leida</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 6 No. 3 (2012); pp. 4-12</text>
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                <text>1865-7923</text>
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                <text>Multi-agent</text>
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                <text>multi-dimensional rating</text>
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                <text>Pro-active Multi-Dimensional Recommender System using Multi-Agents</text>
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              <elementText elementTextId="21538">
                <text>Alwraikat, Mansour A</text>
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                <text>Al Tokhaim, Hiam</text>
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                <text>The purpose of this study was to investigate faculty members' attitudes toward mobile learning in King Saud University. The sample of the study consisted of 362 faculty members from King Saud University in Saudi Arabia during the academic year 2012-2013. A questionnaire consisted of 37 items was developed to measure the attitudes. The results showed that the attitudes of faculty members towards mobile learning are positive and there are statistically significant differences attributed to gender in favor of (female faculty members), academic rank in favor of (instructor), and academic experience in favor of (21 years of experience and more).</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/3682</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 8 No. 3 (2014); pp. 4-10</text>
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                <text>Tovares, Alla V.</text>
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                <text>The unprecedented expansion of wireless technologies and the global pandemic of 2020-2021, which forced many educational establishments out of traditional face-to-face and into online instructional environments, have created an urgency for achieving a better understanding of the various education-related uses of mobile phones, and students’ attitudes toward them, worldwide. We conducted a questionnaire-based study to explore college undergraduate students’ perceptions and uses of mobile phones, with a focus on instructor-student communication and classroom use, across three diverse cultural contexts: Ukraine, Oman, and the United States. Based on our findings, we suggest that conceptualizing mobile phones as cultural tools and situating their use within cultural discourses illuminates how – and explains why – mobile phones are not “the same” tools for all students. The findings offer insights into students’ (developing) perspectives on uses of mobile phones, and provide grounds from which to formulate productive, and culturally appropriate, means of using them for educational purposes. </text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 118-137</text>
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                <text>1865-7923</text>
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                <text>Al_airaji , Roa'a M.</text>
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                <text>Aljazaery, Ibtisam A.</text>
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                <text>Alrikabi, Haider Th.Salim</text>
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                <text>Alaidi, Abdul Hadi M.</text>
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                <text>A major issue in the field of education is exam malpractice and other forms of academic dishonesty, where efforts made towards the assessment of students are undercut. In order to address this menace, a cheating detection system has been proposed in this study. The system can detect cheating in real-time. The proposed system uses video surveillance to monitor the activities of the student during exams, especially abnormal behavior. The development of the system involved the use of three different techniques, with different functions. The first technique helps in determining the direction of the students’ heads when they move from their initial direction, which is the exam script. Some form of cheating involves students peeping at the exam scripts of other people writing the same exam. Whenever the system observes a deviation that exceeds the set threshold, it classifies the behavior as abnormal. The second technique works with the movement of the student’s iris. It detects when a student’s iris moves in a different direction to copy answers from written documents like mobile phones, books, hands, summary papers. The third technique is used in identifying the contact between a student’s hands and face, as well as that between different students for shared abnormal behavior detection between students, such as sharing of incriminating materials. When any of these is detected, an automatic alarm alerts the authority about the abnormal behavior that has been detected, thereby minimizing the error rate that can occur as a result of manual monitoring.</text>
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                <text>Copyright (c) 2022 Haider Th.Salim Alrikabi, Roa'a M.  Al_airaji , Ibtisam A. Aljazaery, Abdul Hadi M.  Alaidi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 124-137</text>
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                <text>1865-7923</text>
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                <text>Surveillance videos, videos analysis, behaviors recognition, anomaly detection, neural networks.</text>
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                <text>Automated Cheating Detection based on Video Surveillance in the Examination Classes</text>
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                <text>Yahya, Omar</text>
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                <text>In recent years, the Internet of things has become an urgent need in all of things that a person needs with least  effort and time. It covers in several areas, including controlling traffic and parking, following up on general and private buildings that  what you need of  periodic maintenance, and reducing energy through using  lighting Smart. In this paper, we focus on important thing and widespread in Iraq  , collection of solid waste in the streets without treatment, which causes environmental and psychological damage to the citizen.in addition , the solid waste deposal need set up sensors(RFID,GPS, ultrasonic, GSM,…etc), connecting them to Arduino Uno to accomplish specific intelligent processing that we need. Moreover, the system provides waste containers and warns the concerned departments in the city of the need to empty them when they reach a certain level, which makes the streets healthier, more attractive and free from rodents.</text>
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                <text>Copyright (c) 2020 Haider Th.Salim Alrikabi, Omar Yahya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 13 (2020); pp. 4-18</text>
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                <text>1865-7923</text>
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                <text>Using Internet of Things  Application for Disposing of Solid Waste</text>
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                <text>The novel coronavirus (COVID-19) has become widespread around the world. It started in Wuhan, China, and has since spread rapidly among people living in other countries. Hence, the World Health Organization has considered COVID-19 as a pandemic that threatens millions of people’s lives. Due to the high number of infected people, many hospitals have been facing critical issues in providing the required medical services. For instance, some clinical centers have been unable to provide one of the most important medical services, namely blood tests to determine whether an individual is infected with COVID-19. Therefore, it is important to present an alternative diagnosis option to prevent the further spread of COVID-19. In this paper, a proposed intelligent detection communication system (IDCS) is configured for distributed mobile clinical centers to control the pandemic. In addition, the intelligent system is integrated with the Zigbee communication protocol to build a mobile COVID-19 detection system. The proposed system was trained on X-ray COVID-19 lung images used to identify infected people. The Zigbee protocol and decision tree algorithm were used to design the IDCS. The results of the proposed system show high accuracy 94.69% and accept results according to the performance measurements.</text>
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                <text>Copyright (c) 2021 Abdulkareem Alzahrani, Khattab M Ali Alheeti, Samer Salah Thabit, Duaa Al_Dosary, Muzhir Shaban Al-Ani</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 4-15</text>
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                <text>1865-7923</text>
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                <text>Artificial intelligence</text>
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                <text>Intelligent Mobile Coronavirus Recognition Centre Based on IEEE 802.15.4</text>
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                <text>Al- Rasheedi, Gareebah</text>
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                <text>Khan, Nabeel</text>
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                <text>Education is a crucial factor in ensuring sustainable progress, In particular, for countries with growing economies. Due to resource virtualization, Cloud computing has both the Internet and complex scalability. Both public and private learning institutions should take advantage of the potential benefit of cloud infrastructure to ensure high-quality service regardless of the minimum resources available. Because of its numerous advantages, cloud computing is taking center stage in academia. This research will seek to establish the benefits associated with the use of cloud computing in education. Cloud technology solutions ensure research and development as well as teaching, and its more sustainable and efficient, thereby having a positive impact on the quality of teaching and learning in educational institutions. The goal of this research is to identify the benefits of cloud computing usage in education. Cloud technology solutions make research and development as well as teaching more competitive and effective, thereby having a positive impact on the quality of education.</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="46260">
                <text>Copyright (c) 2021 Gareebah Al- Rasheedi, Nabeel Khan</text>
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              <elementText elementTextId="46262">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 191-200</text>
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                <text>1865-7923</text>
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                <text>The Role of Cloud Computing in Education: Saudi Arabian Study</text>
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                <text>Al-Abdullatif, Ahlam Mohammed</text>
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                <text>Al-Dokhny, Amany Ahmed</text>
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                <text>Drwish, Amr Mohammed</text>
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                <text>This This study aims to explore the factors that influence pre-service teachers' decisions to use the Internet of Things (IoT) in a classroom setting as a digital system to enhance their teaching and learning. To achieve this aim, the technology acceptance model (TAM) is used to investigate the effects of using the IoT in an e-learning environment on pre-service teachers’ perceived usefulness, perceived ease of use, attitudes toward using IoT, and the influence of such attitudes on students’ behavior. Forty-seven final-year pre-service teaching students were selected to participate by purposeful sampling. A quantitative approach via regression analysis was conducted to analyze the collected data. The results showed that the TAM-related factors of perceived usefulness and perceived ease of use significantly contributed to pre-service teachers’ intentions to use the IoT in classrooms. However, their intention to use the IoT was not influenced by their attitude toward it. Implications and recommendations for future work are suggested as a result of this study.</text>
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                <text>10.3991/ijim.v16i04.27007</text>
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              <elementText elementTextId="45722">
                <text>Copyright (c) 2022 Ahlam Mohammed Al-Abdullatif, Amany Ahmed Al-Dokhny, Amr Mohammed Drwish</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 04 (2022); pp. 85-102</text>
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                <text>1865-7923</text>
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                <text>internet of things</text>
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                <text>Critical Factors Influencing Pre-Service Teachers’ Use of the Internet of Things (IoT) in Classrooms</text>
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