Use Of Mobile Devices Research Articles

Supportive mobility devices across the lifespan in Cerebral Palsy: a modified Delphi study to establish stakeholder research priorities

Purpose The aim of this study was to co-develop research priorities and identify meaningful research questions with a diverse group of stakeholders representing the CP community for implementation in subsequent research activities. The overarching aim of this research was to 1) Understand the mobility experiences, supported mobility device (SMD) use, and desired participation outcomes of people with cerebral palsy (CP) across the lifespan; and 2) Describe how perspectives of rehabilitation care and professional resources may influence mobility decision-making processes and outcomes. Materials and methods A three-round modified Delphi consensus study was conducted with a stakeholder advisory panel consisting of three adults with CP, two parents of children with CP, and four SMD providers. Results The advisory panel identified 11 unique topical categories focused on SMD selection and use, stratified by age group and stakeholder role. Questions or statements within each category were ranked, and top consensus and concordance statements were retained, reviewed, and refined for use in a co-developed focus group guide. Priorities were identified in three main groupings: (1) Age/GMFCS level/Environment-related; (2) Individual with CP/Caregiver need-related; and (3) Clinician/provider partnership-related. Discussion A modified Delphi process was a useful tool for stakeholders in co-developing research priorities related to SMD use across the lifespan. Drawing on the lived expertise of stakeholders is important in facilitating improved research translation in the CP community.

Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach.

Indoor localization and navigation have become an increasingly important problem in both industry and academia with the widespread use of mobile smart devices and the development of network techniques. The Wi-Fi-based technology shows great potential for applications due to the ubiquitous Wi-Fi infrastructure in public indoor environments. Most existing approaches use trilateration or machine learning methods to predict locations from a set of annotated Wi-Fi observations. However, annotated data are not always readily available. In this paper, we propose a robot-aided data collection strategy to obtain the limited but high-quality labeled data and a large amount of unlabeled data. Furthermore, we design two deep learning models based on a variational autoencoder for the localization and navigation tasks, respectively. To make full use of the collected data, a hybrid learning approach is developed to train the models by combining supervised, unsupervised and semi-supervised learning strategies. Extensive experiments suggest that our approach enables the models to learn effective knowledge from unlabeled data with incremental improvements, and it can achieve promising localization and navigation performance in a complex indoor environment with obstacles.

The Use of Augmented Reality Technologies and Georeferencing Data for the Construction of Water Supply Systems

The use of mobile devices, especially smartphones and mobile technology has increased significantly. Accordingly, various applications have been developed to meet the needs of mobile users, which include navigation. The integration of these applications with maps and various localization technologies such as augmented reality (AR) will improve the reliability of navigation systems for wayfinding under certain constraints. AR allows the user to experience an interactive environment by observing the real world augmented by digital objects. However, this technology cannot store and control data. A geospatial information system (GIS) provides storage, visualization, and analysis of geospatial data that can be used to address the challenges and shortcomings of AR. In addition, the capabilities offered by GIS can be useful for achieving sustainability goals in areas such as effective planning and resource allocation. Traditional GIS, especially two-dimensional maps, provide a weak intuitive experience for users, leading to difficulties in interpreting the map and reaching conclusions. Therefore, AR can be used as a bridge between 2D and 3D visualization. The involvement of GIS in human activities and the transition of AR use from traditional terrain outreach to industrial applications makes it worthwhile to integrate GIS with AR to benefit from the two technologies simultaneously. The simultaneous visualization of real and virtual geospatial information leads to an interactive approach. The paper analyzes the capabilities of augmented reality and geo-referenced data approaches for the construction of water systems, describes their weaknesses and strengths, notes the main characteristics of the logistic regression algorithm and considers the tasks performed by this algorithm. A comparative analysis of the algorithms is carried out.

How do mobility device users integrate their devices into occupational performance? A narrative literature review

Introduction: Knowledge about how mobility devices are integrated into occupational performance is important to improve participation in daily life among users and assistive technology provision. This study aimed to identify and synthesise literature on how mobility device users integrate their devices into occupational performance. Methods: A narrative review was conducted with a systematic search in PubMed, CINAHL, PsycINFO and SocINDEX for scientific, original, peer-reviewed journal publications in the English or Scandinavian languages. Following search terms were used: mobility devices, occupational performance and synonyms. Publications were screened and read, and data were extracted by two authors independently. Results: A total of 4088 hits led to the identification of six publications. Two categories were identified: (1) how mobility devices are integrated into occupational performance and (2) for what types of occupations beyond mobility are mobility devices used for; seven types were revealed. Conclusion: Mobility devices are integrated into occupations in unique ways to the individual users, shaping how occupations are performed and are used for different types of occupations beyond mobility. Since mobility device use is situational, it is suggested to investigate assistive technology use, applying a transactional perspective to improve assistive technology provision to increase fulfilment of users’ needs and preferences.

Science education in early childhood education mediated by technologies: a systematic review

ABSTRACT: Introduction: The development of scientific competencies in early childhood education allows the understanding of the world that surrounds the infant, historically it has been done from the exploration of the environment, however, the use of technologies is a current need in the learning processes, continuous improvement and contextualization of pedagogical practice in early childhood education. Objective: to identify training trends in scientific competencies in early childhood education focusing on teaching strategies and didactic resources mediated by educational technology. Methodology: the review was based on a qualitative approach, a search was carried out in the SCOPUS database characterizing the title of the article, abstract and keywords with the following search criteria: early AND childhood AND science AND education AND educational AND technology, applying the filter Source type: Journal in the period between 2007 and 2022 for a subsequent hermeneutic analysis taking into account the categories of teaching strategies and didactic resources. Results: it was found that there is a strong tendency to use the Science, Technology, Engineering and Mathematics -STEM- models; in the case of didactic resources, the use of robots, online and interactive educational applications, websites, use of mobile devices and software for tactile use and computer equipment stand out in the literature reviewed. Conclusions: the present study allows highlighting that it is important to take into account technological, pedagogical and content limitations when implementing teaching strategies in early childhood education, since these limitations can affect the success of educational practices and the ability of teachers to teach scientific competencies effectively.

Self-selection as an explanation for general mental ability test score differences between mobile and nonmobile devices in observational studies.

Past studies have reported divergent results regarding the effect of mobile devices on general mental ability (GMA) test scores. We investigate selection bias as an explanation for this inconsistency in GMA score differences between applicants using mobile or nonmobile devices reported in observational and lab studies. We initially found that mobile test-takers scored 0.58 SD lower than nonmobile test-takers in an operational sample of 76,948 applicants across over 400 occupations. However, we found that mobile device use was more prevalent among applicants with lower educational attainment and within jobs of lower complexity. These factors, among others, could potentially confound the observed GMA score differences between devices. The device effect shrank to d = 0.25 after controlling for selection bias in device choice using propensity score weighing. As an alternative, we also used poststratification to control for selection bias and this yielded an even weaker device effect (d = 0.10). Our results indicate that the large device effects obtained in prior operational studies are possibly inflated by selection bias. Therefore, it is important to control for these demographic and occupational differences between self-selected device groups when analyzing operational data for research purposes. Propensity score weighing and poststratification appear useful for reducing the impact of selection bias in real-world, observational data. We also strongly recommend the use of random assignment to prevent selection bias when evaluating device effects for new or adapted GMA or similar ability tests. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

P24-106-23 Examining Mobile Device Use, Appeal for a Digital Program, and Digital Literacy Among Parents of Preschoolers for Intervention Design

P24-106-23 Examining Mobile Device Use, Appeal for a Digital Program, and Digital Literacy Among Parents of Preschoolers for Intervention Design

Demographic variables do not affect the use of mobile devices for study and learning purposes.

The use of mobile devices has become an everyday occurrence, and more and more higher education institutions have started adopting this technology in their interactions with students. Previous research has confirmed that mobile devices are becoming more widely used in learning. The sphere of formal education is not static but dynamic and evolving all the time, and central to this are developments in the technologies of teaching and learning. Educational institutions, which are seen as the bastion of new thoughts and thinking, need to ensure that these innovations and developments are incorporated in their teaching philosophies and mode of delivery – mainly to be able to accommodate the new generation of learners in the Industry 4.0, which impacts on their social and personal domains. Central to this, where the focus at tertiary institutions has shifted to, is the implementation of mobile learning technologies. This study investigates the views of learners regarding the use of mobile learning devices in their study and learning environments. In order to explore this aspect, the study aimed to determine the significance of age, gender and year of study in the use of mobile learning devices. No statistically significant differences were found between the identified demographic variables (age, gender and year of study) and uses of mobile devices in a study and learning environment.

Usage of mobile devices related to sleep among Sri Lankan doctors

Over-usage and unsafe usage of mobile devices can affect the sleep negatively. This study was conducted among Sri Lankan doctors using an online questionnaire to assess their practices. Evidence from 633 doctors in this study showed, majority of 494 (78%) takes the phone to the bed when going to sleep and 403 (63.7%) used to watch at them at least 10 mins prior to sleep. The usage of effect minimizing options like blue-light filter, low / autoadjustable brightness and dark theme were used only by 227 (35.9%), 384 (60.7%) and 201 (31.8%) participants, respectively. This highlighted the importance of increasing awareness.

DeepQ Feature Selection and Recognition of Handwritten Prediction Using Convolutional Neural Networks

Purpose: Deep learning (DL) is referred to as the "hot subject" in pattern recognition and machine learning. The unmatched potential of deep learning allows for the resolution of the majority of complex machine learning issues, and it is evident that it will receive attention within the framework for mobile devices. There are tools for pattern recognition that can be used by smart applications of the next generation to make huge changes. Design/Methodology/Approach: The deep feature convolutional network (DEEPQ-CNN) extracts the high representation and features of the hierarchical image from the relevant training data when data-driven learning is enabled. In addition, the DEEPQ-CNN characterization strategies are adapted to a couple of datasets in the boundaries and construction. The running time of the neural network and the network's weight are essential requirements for mobile computing. Finding/Results: In the proposed system, the design of the image processing module is based on the characteristics of a mobile device's convolutional neural network. However, the use of mobile devices for data collection, processing, and construction is described. Last but not least, the computing conditions and mobile device data features are taken into account. Original Value: For optical character recognition (OCR), specific datasets support the lightweight network structure. CNN is utilized to approve the proposed framework when examinations are made with the results of past methods to perceive the optical person. Paper Type: Research

Design study of detachable car accident alarm

The current market alarm has limitations such as non-removable, high cost, and many restrictions on the alarm. The removable, embedded installation structure of this design makes the car accident alarm have the advantage of high applicability, and the combination of cell phone APP terminal and embedded hardware design achieves effective reduction of waste of public resources, lower cost and resistance to product popularity. In terms of reliability, the design can detect whether the sensor is damaged, and ensure that the sensor can still correctly determine that the vehicle has been in a car accident when it is damaged, which is more reliable than most alarms. When receiving information about a car accident from the embedded hardware, an alert will be sent through the user's mobile device in time to remind the user. Through the cell phone's built-in GPS positioning technology, the application will automatically obtain information such as the vehicle's current location and send that information to emergency contacts.

Rancang Bangun Prototipe Sistem Start Engine dan Alarm Sepeda Motor Menggunakan Mikrokontroler Arduino Berbasis Android

The rapid development of information technology has had a significant impact on various fields, both through the use of electronics and mobile devices, as well as the easily developed Android operating system. However, the current vehicle security systems are still inadequate in ensuring the safety of vehicles, especially concerning criminal activities such as theft and robbery. To address this issue, the idea of implementing a telephone facility through research has emerged, aiming to design and create a prototype of a start engine and motorcycle alarm system using the Arduino microcontroller based on Android. The purpose of this research is to reduce the frequency of crimes that occur through tampering with vehicle contacts, with the expectation that the implementation of an improved security system will lead to a decrease in vehicle theft cases and provide better protection for vehicle owners.

Assessing Students’ Attitude Towards Artificial Intelligence with Respect to Gender and Use of Computer and Mobile Devices

Artificial Intelligence is playing a very crucial role nowadays. Students are so much into the use of technology due to one or the other reasons and spend a lot of time on computer and mobile devices so this study is an attempt to find out the attitude of senior secondary students towards Artificial Intelligence (AI). The sample in this study consists of 200 senior secondary students from Prayagraj. For this study, a self-constructed Artificial Intelligence attitude scale has been used. The finding of the study revealed that there is a significant difference in the attitude of male and female senior secondary students towards Artificial Intelligence and even it shows that 42% of the students are spending more than 3 hours on computer and mobile devices as well as the study revealed that there is significant difference in the attitude towards Artificial Intelligence of students spending different hours on computer and mobile devices.

Обучение «на ходу» в электронной образовательной среде. Часть 2. Мобильное обучение в медицинском образовании.

The article presents various models of mobile learning in medical education. Attention is drawn to the specific features of the use of mobile devices in teaching clinical disciplines. The various roles of the trainee when using mobile technologies are analyzed. The social and ethical aspects of the use of mobile devices in the educational process in the clinic are considered. The positive aspects of the use of mobile technologies in teaching students clinical disciplines and the problems arising from this are presented.

BT26 Safe use of mobile photographic devices in dermatology: a multicentre quality-improvement project

Abstract Mobile devices are increasingly being used in dermatology to take clinical images, particularly in settings where medical photography services are not readily available. Healthcare professionals are expected to use mobile technology safely to improve patient care. Published UK guidance on the use of mobile photographic devices in dermatology details standards in three key areas: gaining patients’ informed consent, safe use of mobile devices to capture patient images, and safe transfer and storage of these images. A quality-improvement project was conducted across three UK centres. Baseline data were collected over a 2-week period in January 2023 using an anonymous staff survey and analysis of 50 outpatient encounters where mobile devices were used to take clinical images. Our survey achieved a response rate of 77% (n = 20) from consultants (60%), specialty doctors/fellows (30%) and nurses/advanced care practitioners (10%). All respondents sought patient consent prior to taking images on their personal devices, with only 10% using written consent forms (remainder using verbal consent). Thirty-five per cent reported always documenting consent in patient notes and only 20% discussed the risks and benefits of using mobile devices to take patient images. Eighty-five per cent used devices with strong passcodes (six or more characters), but only 50% confirmed that data encryption was enabled on the device. Thirty-five per cent disabled cloud-based back-up systems, 55% disabled Bluetooth and only 5% switched off global positioning system information before taking patient images. For image transfer, 80% used NHS.net email and 20% used a secure clinical image transfer application. Seventy per cent confirmed using a secure network server for image storage and that they always removed patient images from their device after transfer. Analysis of 50 patient encounters revealed that verbal consent was only documented in 8% of cases and a discussion around the risks and benefits of using mobile devices was not documented in any case. National guidance states that it is the healthcare professional’s responsibility to give patients clear information on the risks and benefits of using mobile devices to capture and transfer clinical images for storage, without which there is no informed consent. Our findings highlight a lack of awareness and adaptation of practice to these standards. We will ascertain reasons for this and implement interventions to meet guidance, including an educational meeting and introduction of a standardized written consent form to ensure patient safety and appropriate informed consent. We will present our findings on the impact of these interventions following subsequent rounds of data collection.

Continuous authentication with feature-level fusion of touch gestures and keystroke dynamics to solve security and usability issues

Behavioral Biometrics (BB) Continuous Authentication (CA) systems monitor user behavior and continuously re-authenticate user identity alongside the initial login process. Most studies use single behavioral modality systems to authenticate users. However, the behaviors of genuine users may change, and systems fail when significant changes occur. This results in either usability or security issues. In the literature, the fusion of biometrics is used to solve this problem and achieves improved results. This paper presents our research on the design and evaluation of new approaches to CA using fusion of touch gestures and keystroke dynamics. To collect the biometric data from mobile device users we have developed the BioGames App which follows an innovative approach based on the gamification paradigm. We examine each modality separately and investigate if we can improve the performance results with a feature-level fusion. For this reason, a new appropriate feature set is developed that combines touch gestures and keystroke dynamics. We used the Multi-Layer Perceptron (MLP) and Long Short-Term Memory (LSTM) and compared their performance. We have shown that feature-level fusion of touch gestures and keystroke dynamics improves the performance of systems and solves security and usability issues. We found that the MLP is superior to LSTM in this context. The MLP achieved Accuracy 98.3% (increased 21.1%), EER 1% (error reduction by 23.7%), TAR 99.4% (increased 46%), TRR 97.4% (increased 10%), FAR 2.6% (reduced by 10.5%), and FRR 0.6% (reduced by 46%).

Use of smartphones by older adults: characteristics and reports of students enrolled at a University of the Third Age (U3A)

Introduction: The increase in mobile device users aged > 60 years reflects a transformation in the information and communication technology (ICT) area. Supporting older adults in their digital literacy is a complex task. New skills for the digital age should be developed. Objective: To describe the sociodemographic characteristics of older adults on a digital literacy program, including patterns of use, reasons for learning, in addition to the difficulties and benefits reported regarding the use of technology. Methodology: A quantitative and qualitative study based on a digital literacy program within a U3A context involving professionals in the fields of gerontology and computing was conducted. Result: The program involved 317 older adults, most of whom were women (64.5%). Mean age of participants was 60-74 years (82%). Regarding characteristics, 44.2% were married, 40.7% had finished high school, 77.3% were retired, 65.1% earned ≤ 4 minimum wages, and 74.1% were not engaged in paid employment. Prior to participation, despite the high frequency of smartphone use (87.6%), 77.9% reported having a poor user experience. The most prevalent purposes for using smartphones were “Communication” (93.3%), “Strengthening affectional bonds with family and friends” (66.2%) and “Search for general information” (48.7%). The assessment of self-efficacy revealed that participants lacked competence for complex activities. Conclusion: The interest of older Brazilians in using smartphones is clear. Therefore, understanding previous competencies, as well as the obstacles faced by this group, is pivotal in aiding the process of digital inclusion.

Back Pain and Body Posture Evaluation Instrument for Adults (BackPEI-A): Updating and an online application

IntroductionBack Pain and Body Posture Evaluation Instrument for Adults (BackPEI-A) lags the most recent literature, as it does not assess issues related to activity increasingly present in the daily lives of people of all ages. Purpose(1) to update the BackPEI-A by including four new questions regarding the use of mobile devices; (2) to present a new graphic design of the issues related to back and neck pain to facilitate understanding of the location of these pains; (3) to test the content validity and the reliability of the new questions; and (4) to identify whether the BackPEI-A version in online form has adequate reliability. MethodsThe content validation by evaluation of eight experts, and the reliability of the new questions and of the online version were assessed. The new questions were translated to English. Content validation was assessed by the content validity index (CVI). Reliability was assessed using the agreement percentage (%C), the kappa statistic (k), and the intraclass correlation coefficient (ICC). k > 0.4 and %C > 0.5 were assumed to include new questions. ResultsThe new questions showed good agreement among the experts, k > 0.4 and %C > 0.5. Both forms applied presented an average kappa of total sample ranging from moderate to good, and moderate ICC values, showing an adequate reliability. ConclusionThe updated BackPEI-A is valid and reliable and allows the identification of aspects related to back and neck pain, as well as possible risk factors.

Participatory Action Design and Engineering of Powered Personal Transfer System for Wheelchair Users: Initial Design and Assessment.

Caregivers that assist with wheelchair transfers are susceptible to back pain and occupational injuries. The study describes a prototype of the powered personal transfer system (PPTS) consisting of a novel powered hospital bed and a customized Medicare Group 2 electric powered wheelchair (EPW) working together to provide a no-lift solution for transfers. The study follows a participatory action design and engineering (PADE) process and describes the design, kinematics, and control system of the PPTS and end-users' perception to provide qualitative guidance and feedback about the PPTS. Thirty-six participants (wheelchair users (n = 18) and caregivers (n = 18)) included in the focus groups reported an overall positive impression of the system. Caregivers reported that the PPTS would reduce the risk of injuries and make transfers easier. Feedback revealed limitations and unmet needs of mobility device users, including a lack of power seat functions in the Group-2 wheelchair, a need for no-caregiver assistance/capability for independent transfers, and a need for a more ergonomic touchscreen. These limitations may be mitigated with design modifications in future prototypes. The PPTS is a promising robotic transfer system that may aid in the higher independence of powered wheelchair users and provide a safer solution for transfers.

Powered mobility device use in residential aged care: a retrospective audit of incidents and injuries

BackgroundPowered wheelchairs and motorised mobility scooters, collectively called powered mobility devices (PMD), are highly valued by older Australians, including those living in residential care, to facilitate personal and community mobility. The number of PMDs in residential aged care is expected to grow proportionally with that of the wider community, however, there is very little literature on supporting residents to use PMDs safely. Prior to developing such supports, it is important to understand the frequency and nature of any incidents experienced by residents whilst using a PMD. The aim of this study was to determine the number and characteristics of PMD use related incidents occurring in a group of residential aged care facilities in a single year in one state in Australia including incident type, severity, assessment, or training received and outcomes on follow-up for PMD users living in residential aged care.MethodsAnalysis of secondary data, including documentation of PMD incidents and injuries for one aged care provider group over 12 months retrospectively. Follow-up data were gathered 9–12 months post incident to review and record the outcome for each PMD user.ResultsNo fatalities were recorded as a direct result of PMD use and 55 incidents, including collisions, tips, and falls, were attributed to 30 residents. Examination of demographics and incident characteristics found that 67% of residents who had incurred incidents were male, 67% were over 80 years of age, 97% had multiple diagnoses and 53% had not received training to use a PMD. Results from this study were extrapolated to project that 4,453 PMD use related incidents occur every year within Australian residential aged care facilities, with the potential for outcomes such as extended recovery, fatality, litigation, or loss of income.ConclusionThis is the first time that detailed incident data on PMD use in residential aged care has been reviewed in an Australian context. Illuminating both the benefits and the potential risks of PMD use emphasizes the need to develop and improve support structures to promote safe PMD use in residential aged care.