Digital Assistants Research Articles

Pelatihan Digital Marketing Produk UMKM Pada Masyarakat Desa Betek Guna Meningkatkan Kesejahteraan Masyarakat

Electronic Commerce (e-commerce) is a new behavior that can be described as the process of transactions for goods or services in the process of buying and selling or exchanging products, services and information via information networks, including the internet or cyberspace, in line with the very rapid development of the internet world. Service implementers observed that marketing of UMKM products in Betek village, Mojoagung subdistrict is still limited and still uses the WoM (Word of Mouth) marketing method so that sellers only rely on buyers who come. The problem with partners is that marketing is still done traditionally, namely by word of mouth and only relies on consumers who come to get turnover and offers to close friends and the surrounding environment and there is a lack of understanding and use of digital marketing to increase sales. The problems faced must immediately find a solution. One alternative solution is to use digital marketing media. The objectives of this digital marketing-based UMKM product marketing assistance program are as follows: (1) UMKM owners in Betek village can increase their understanding of digital marketing; (2) UMKM owners in Betek village can increase the use of digital marketing more effectively; (3) MSME owners in Betek village can expand their marketing area; (4) Betek village UMKM owners can increase their income. With this digital marketing training, sales of Betek Village UMKM products increased by 60% from before the intensive assistance was implemented.

Future Technology Development Using VIKOR Method

Future Technology Development. Future technologies could consist of tangible objects like robots, drones, and wearable technology. These can occasionally be utilized as human-powered tools to gather data, access information, or carry out helpful tasks nearby. Current and upcoming technologies are the main topics of Introduction to Technology. It covers the study of technology with a focus on management, operations, industries, specialized knowledge, security, interpersonal relationships, and developing technologies. India is now engaged in the development of cutting-edge technologies including 5G, AI, blockchain, augmented reality, virtual reality, robots, natural language processing, etc. Robotics, artificial intelligence, machine learning, and other technological advancements have greatly sped up transition. By 2025, 50 billion connected devices will make up the Industrial Internet of Things (IIoT), and 70 percent of manufacturers will be employing digital twins. Everybody who has access to virtual reality or augmented reality gadgets by the year 2040 will also have access to a digital virtual assistant. Virtual assistants can now be created on language model platforms that are significantly more powerful than previous language models, such as GPT-3. The VIKOR (VIšekriterijumsko Kompromisno Rangiranje) Optimal replacement Select method is used in Water, Carbon dioxide, Nitrogen gas, Oxygen, Silicon oxide, Calcium carbonate, Iron oxide, and Enthalpy (kJ/mol), Entropy (kJ/mol), Exergy (kJ/mol). Water, Carbon dioxide, Nitrogen gas, Oxygen, Silicon oxide, Calcium carbonate, and Iron oxide. Enthalpy (kJ/mol), Entropy (kJ/mol), Exergy (kJ/mol). Water got the first rank whereas Calcium carbonate is having the lowest rank.

Mobile health in the aging surgical patient

Mobile health includes the use of mobile devices, patient monitoring devices, and digital assistants to improve the delivery of healthcare. Aging surgical patients (ie, 65 years and older) represent a unique patient population that demands increased resources to prepare for surgery and optimize recovery. Mobile health has the potential to improve surgical patient outcomes by increasing the accessibility of personalized care and reducing costs. However, there are some challenges to consider when using mobile health in older surgical patients, such as technological literacy, visual and hearing impairment, and cognitive changes before or after anesthesia. Despite the rapid uptake of mobile health in medical specialties, its application in the surgical field is gradual. The complexity of aging surgical patients requires surgical care teams, surgical leaders, and healthcare policymakers to consider unique solutions, such as mobile health, to address this growing population’s needs before and after surgery. This article will discuss the potential benefits and challenges of mobile health among aging surgical patients, as well as opportunities to support these patients and families with customizable tools to meet their preferences and needs.

Strategi Literasi Digital Marketing pada Usaha Mikro Kecil dan Menengah (UMKM) oleh Pusat Layanan Usaha Terpadu (PLUT) Kabupaten Jember

PLUT KUMKM Jember Regency is a program of the Ministry of Cooperatives and SMEs (KemenkopUKM) to encourage SMEs to advance to class. One of the tasks of PLUT KUMKM Jember Regency is to provide assistance to friends of MSMEs assisted by PLUT Jember Regency. One of the assistance is regarding digital marketing. In this assistance, PLUT holds independent classes and also Bimtek (Technical Guidance) classes for the assisted MSMEs. Through a series of digital marketing training and assistance applied to MSMEs in Jember Regency, they not only go through a learning process, but also become technologically literate, realizing that in this technological era, digital marketing is an inevitable necessity. This provides a new perspective on the incredible potential that digital marketing strategies have. MSMEs realize that digital marketing has the ability to reach target customers efficiently and effectively. This allows MSMEs to find consumers more quickly, precisely and widely, opening up huge opportunities for sustainable business growth. By implementing the right digital marketing strategy, it is estimated that MSME sales have the potential to increase by up to 70%, creating an extraordinary positive impact on local economic progress and the business desires of MSMEs themselves.

Digital care beds in long-term care-Support, relief for caregivers or just illusion? An ethnographic explorative study

The digitalization of care items, in this case the care bed, is alogical consequence of the general shortage of personnel and resources in professional care and an increase in the number of very old people in need of long-term care. Sensors integrated into the nursing bed, interfaces for data transmission and connection to amonitoring system are generated for moments of support and relief for professional nurses and to increase the nursing outcome. Accompanying nursing research examines the implementation of 97digital care beds in along-term care facility for old people. Mixed methods research approach over 24months RESULTS: The lack or implementation of aconsistent care process, unfavorable accompanying circumstances, interdependent contextual factors and an insufficient implementation management have anegative impact on the implementation and integration of the digital care beds into the care routines. For asuccessful implementation of digital assistance systems (dAS), they have to be considered in the care process besides areliable technical connection. Furthermore, an implementation management as well as the review and adaptation of all relevant context factors are required.

Person-based design and evaluation of MIA, a digital medical interview assistant for radiology.

Radiologists frequently lack direct patient contact due to time constraints. Digital medical interview assistants aim to facilitate the collection of health information. In this paper, we propose leveraging conversational agents to realize a medical interview assistant to facilitate medical history taking, while at the same time offering patients the opportunity to ask questions on the examination. MIA, the digital medical interview assistant, was developed using a person-based design approach, involving patient opinions and expert knowledge during the design and development with a specific use case in collecting information before a mammography examination. MIA consists of two modules: the interview module and the question answering module (Q&A). To ensure interoperability with clinical information systems, we use HL7 FHIR to store and exchange the results collected by MIA during the patient interaction. The system was evaluated according to an existing evaluation framework that covers a broad range of aspects related to the technical quality of a conversational agent including usability, but also accessibility and security. Thirty-six patients recruited from two Swiss hospitals (Lindenhof group and Inselspital, Bern) and two patient organizations conducted the usability test. MIA was favorably received by the participants, who particularly noted the clarity of communication. However, there is room for improvement in the perceived quality of the conversation, the information provided, and the protection of privacy. The Q&A module achieved a precision of 0.51, a recall of 0.87 and an F-Score of 0.64 based on 114 questions asked by the participants. Security and accessibility also require improvements. The applied person-based process described in this paper can provide best practices for future development of medical interview assistants. The application of a standardized evaluation framework helped in saving time and ensures comparability of results.

Development of Fine-Tuned Retrieval Augmented Language Model specialized to manual books on machine tools

This paper aims to reduce potential human errors and loads that arise from the lack of novice human operators and different interfaces in advanced machine tool industries. A digital assistant using generative artificial intelligence is designed to answer questions about machine terminologies, and operation sequences happening in an alarm state. Combining Fine-Tuning, Retrieval Augmented Generation, and Prompt Engineering, it solves problems of common-purpose large language models. The proposed system is implemented on a local server and connected to a mobile device. It shows increasing quantitative accuracy from 51% to 79% and 84% in the fine-tuned and retriever model, and the qualitative score increases from 21 to 25 in the retriever model.

Exploring Strategies and Methods for Classroom Teaching Management with Digital Assistance

Exploring Strategies and Methods for Classroom Teaching Management with Digital Assistance

Evaluation and significance of a digital assistant for patient history-taking and physical examination in telemedicine

Introduction Assisted history-taking systems can be used in provider-to-provider teleconsultations to task-shift the collection of evidence-based medical history and physical exam information to a frontline health worker. We developed such a task-shifting digital assistant, called ‘Ayu’, for nurses in rural India to collect clinical information from a patient and share it with a remote doctor to arrive at an accurate diagnosis and triage decision. Materials & Methods We evaluated the ability of the task-shifting digital assistant to collect a comprehensive patient history by using 190 standardized patient case studies and evaluating the information recall of the assistant by a skilled clinician. Following this, we tested the ability of nurses to use the system by training and evaluating the system’s accuracy when used by 19 nurses in rural Gujarat, India. We also measured the diagnostic and triage accuracy based on the generated history note. Finally, we evaluated the system’s acceptability by using the Technology Acceptance Model framework. Results Ayu could capture 65% of patient history information and 42% of physical exam information from patient case studies. When used by nurses, the mean accuracy of the generated clinical note was 7.71 ± 2.42. Using the information collected by a nurse using Ayu, a primary care physician could arrive at the correct diagnosis in 74% of cases, and correct triage decision in 88% of cases. Overall, we saw a high acceptability from nurses to use the system. Conclusions Ayu can capture an acceptable proportion of clinical information and can aid in collecting an evidence-based medical history by task-shifting some of the early investigational steps. Further development of Ayu to increase its information retrieval ability and ease of use by health workers is needed.

Digitally driven surgical guide planning.

To investigate the role of a fully digital process in the surgical treatment of mandibular fractures in children. We analyzed a complete dataset from 22 children with mandibular fractures treated with digital surgical assistance. The patient's treatment process included preoperative thin layer CT (Computed Tomography) scanning, computer-aided design (3D reconstruction, virtual reduction, and internal fixation device determination and shaping), and 3D printing (jaw model, bite plate). We used occlusal and shaping plates during surgery to assist in fracture reduction and fixation. During the follow-up, we observed the occurrence of fracture healing, occlusal relationships, opening degrees, and complications in pediatric patients after surgery. Next, we used the 3D overlay function of MIMICS software to compare the preoperative surgical design with postoperative jaw imaging data to evaluate the overall surgical effect. The postoperative imaging data showed good fracture healing, normal occlusion during follow-up, and significant improvement in opening degrees. The mean preoperative opening degree was 23.59 ± 2.89 mm, and the mean postoperative opening degree was 29.82 ± 1.79 mm; there was a significant difference between these two parameters (p < 0.05). There were no complications such as tooth germ injury, nerve injury or fracture block displacement. The postoperative mandibular imaging data was imported into MIMICS software for 3D overlay visualization, and the postoperative mandibular morphology recovery was well-matched with the preoperative design. We measured the average upper deviation (0.65 ± 0.09) mm and the average lower deviation (-0.57 ± 0.14) mm. The fully digital process has a precise, minimally invasive, and safe effect in the surgical treatment of mandibular fractures in children, and the clinical effect is satisfactory.

The quality of university educational programs on environmental and agrobiological focus in graduates’ opinion

The article presents the opinions of the of universities’ graduates in the South of Russia on the quality of the university educational programs on environmental and agrobiological focus. A brief review of publications conducted on the basis of systematic selection in the main knowledge-intensive databases confirms the relevance of the proposed research question. The assessment of the quality of training of agrobiological and environmental specialists is considered by the scientific community as a significant social and educational problem. The empirical part of the study examines the opinions of graduates of environmental and agrobiological educational programs in the South of Russia in terms of their assessments of the quality of education received. A total of 396 graduates took part in the survey. The results were processed in the SPSS Statistics program (version 24). The strategic vectors of increasing the quality of university educational programs in the field of ecology and agrobiology are: the development of competencies for environmentally safe and responsible entrepreneurship; international standardization of the quality of agricultural education to ensure the sustainable development of agricultural production, food and environmental safety; work with digital process assistants.

Electromagnetic Absorbing Materials Design by Optimization Using a Machine Learning Approach

One of the state-of-the-art strategies to decrease the isolation between sections of personal digital assistance devices, taking into account the unavoidable thermal, mechanical, weight, and manufacturability constraints is the proper introduction of electromagnetic (EM) absorbing materials. The global target of this study is the optimized synthesis of the EM properties of a material using a machine learning approach. The sought material must improve the shielding effectiveness between two regions of a device. The first part of this paper is dedicated to the assessment of the performances of an artificial neural network used as function approximation to compute the values of the shielding without resorting to complex and time-consuming full-wave numerical simulations. The network is assessed with respect to either the variations of the training set and algorithm or of its architecture. Significant figures of merit are introduced. The second part is devoted to the description and definition of nature-inspired algorithms demanded to manage the optimization problem.

AI-Based Digital Assistants in the Workplace: An Idiomatic Analysis

AI-Based Digital Assistants in the Workplace: An Idiomatic Analysis

Cognitive Assistance Systems in Intralogistics: A User Study on the Effects of Varying Levels of Customization

This study investigates the impact of varying levels of customization in digital assistance systems on human-centered evaluation measures and logistical performance within intralogistics. In this regard, the provision of an adequate extent of such customization pose an open research question. Thus, in this research we focus on a user study centered on picking and packaging processes. The participants were supported by cognitive assistance systems of different levels of system customization. While performing tasks their logistical performance was measured and the usability, user experience and technology acceptance were assessed using standard questionnaires. The results show that customization influences both the performance and the human-centered evaluation of the cognitive assistance systems. The research suggests, that a certain level of customization should be considered in the design of digital assistance systems, which is not necessarily the maximum level.

Enhancing neurosurgical navigation operation flow management through personal digital assistant technology: a prospective cohort study.

This prospective cohort study aims to evaluate the impact of digital health technology especially Personal Digital Assistants (PDA) in neurosurgical procedure management, focusing on surgical safety check accuracy, efficiency, and patient satisfaction. The study included 211 neurosurgical cases from January to December 2022. The control group of 106 patients followed traditional verification methods, while the experimental group of 105 patients used PDA. The PDA system facilitated real-time data collection, verification, and transmission. The study compared both groups in terms of check times, accuracy rates, and patient satisfaction, and used multivariate regression to assess the impact of baseline parameters on these outcomes. The study found that the experimental group using the PDA system reduced the average verification time by approximately 8 min, achieving 100.0% accuracy in preoperative and postoperative checks, significantly better than the control group (91.5% pre- and post-operation). Multivariate regression confirmed a 48.1% reduction in postoperative verification time due to the PDA system (p < 0.001), with the model showing high explanatory power (R2 = 0.911). Other examined factors, including patient age and nurse experience, had no significant effects. Similarly, the PDA's introduction markedly improved verification accuracy, with no significant impact from other variables (p = 0.010). The application of the PDA system in neurosurgical operations significantly enhanced the accuracy and efficiency of surgical safety checks, reduced nursing errors, optimized nursing workflows, and improved patient satisfaction. These results provide valuable insights for the application of PDA technology in high-risk medical fields, demonstrating potential of digital health tools in enhancing surgical safety and efficiency.

Inhuman Music and the Monstrous-Feminine

In video games, female characters have traditionally been meant to be seen and not heard, mirroring the history of women under patriarchy. Those female characters who reject their secondary and primarily visual role often become monstrous, and like Barbara Creed argues, this monstrosity is itself profoundly gendered. This paper focuses on two such female characters whose monstrosity, and also revolt, are indisputably feminine, as well as musical. Both the 2007 classic Portal and the 2017 cult hit Doki Doki Literature Club! feature central antagonists who are sentient artificial female monsters who both start off as the players’ guides through their respective games, their roles similar to those of gendered digital assistants in everyday life. While GLaDOS is voiced throughout Portal, Monika remains silent until the final credits of DDLC!, but the comparison between the two is never as evident as when they sing. Both games end with songs performed by these antagonists, after they have technically been defeated. This paper draws on feminist literary and film theory, as well as musicology and ludomusicology, to deliver both a comparative analysis of the two songs, and a broader formulation of the sonic representation of the monstrous-feminine in video games.

Towards Operator Empowerment in Assembly Lines with Human-Centered Design: A Concept with Application in the Automotive Industry

In the context of Industry 4.0, the focus often does not lie on human involvement, while a lack of knowledge about workers’ requirements diminishes their acceptance of processes and systems. Furthermore, domain-specific solutions fail to fully capture these requirements in manufacturing, especially in assembly lines. Therefore, a human-centered design approach is essential to empower operators and strengthen their acceptance of digital assistance systems. The question arises of how to implement such an approach in manufacturing and how to engage assembly line operators to meet their requirements and enhance adoption. In this work, we propose a mixed-methods approach that involves workers as much as possible in the conception and design of enhanced digital assistance systems. The approach provides a new foundation for operator empowerment in assembly lines, which we demonstrate in a use case from the automotive sector. This demonstration includes the results of a first workshop with workers, identifying their requirements and discussing their needs. The future work consists of developing design prototypes for an assistance system, which will be evaluated by interviewing the end-users and investigating its impact with comparison measures.

A Game Theoretic Approach to Computation Offloading Strategy Optimization for Non-cooperative Users in Mobile Edge Computing

Computation offloading from a user equipment (UE, also called mobile user, mobile subscriber, or mobile device) to a mobile edge cloud (MEC) provides an effective way to virtualize an ordinary smart mobile device (e.g., smartphone, tablet, handheld computer, wearable device, and personal digital assistant) into a formidable equipment, which is able to provide more and stronger functionalities than that of a laptop or a desktop computer. It is conceivable that there can be several MECs with different processing capabilities in a geographic area, and each MEC many serve many UEs with endless sequences of computation tasks, various application characteristics, and diversified communication requirements and bandwidths. Furthermore, the mobile users are competitive and selfish, which means that computation offloading strategy optimization needs to be carried out for each individual mobile user to optimize the performance of only his applications. In this paper, we conduct a mathematical study of computation offloading strategy optimization for non-cooperative users in mobile edge computing by using a game theoretic approach. The main contributions of this paper can be summarized as follows. We establish an M/G/1 queueing model to characterize multiple heterogeneous UEs and MECs, so that the average response time of all offloadable and non-offloadable tasks generated on a UE can be calculated analytically and the optimal computation offloading strategy of a UE can be defined rigorously. We construct a non-cooperative game framework for a mobile edge computing environment, in which each player (i.e., a UE) can selfishly minimize his payoff by choosing an appropriate strategy in his strategy space. We prove the existence of the Nash equilibrium of the above game. We develop algorithms to find the Nash equilibrium, including an algorithm to find the best response of a mobile user and an iterative algorithm to find the Nash equilibrium. We demonstrate numerical examples and data of our game, including numerical data for the Nash equilibrium and numerical data for the convergence of the Nash equilibrium. To the best of the author's knowledge, this is the first paper that effectively investigates computation offloading strategy optimization for multiple, heterogeneous, and competitive mobile users and multiple heterogeneous mobile edge clouds by using a non-cooperative game approach. Hence, the paper makes noticeable contributions towards the understanding of a competing mobile edge computing environment and its stabilization.

Digitalisation of information and management optimisation in Multiple Victim Incidents. Analytical study.

Triage is a crucial tool for managing a Multiple Victim Incident (MVI). One particularly problematic issue is the communication of results to the chain of command and control. Favourable data exists to suggest that digital triage can improve some features of analogue triage. Within this context we have witnessed the emergence of the Valkyries Project, which is working to develop strategies to respond to MVIs, and especially cross-border incidents. To that end, an IT platform called "SIGRUN" has been created which distributes, in real time, all the information to optimise MVI management. A full-scale simulation, held on the Spain-Portugal border and featuring contributions from different institutions on both sides of the border, put to the test the role of information digitalisation in this type of incidents. To evaluate the impact of the synchronous digitalisation of information on the optimal management of Multiple Victim Incidents. Clinical evaluation study carried out on a cross-border simulation between Spain and Portugal. A Minimum Data Set (MDS) was established by means of a modified Delphi by a group of experts. The digital platform "SIGRUN" integrated all the information, relaying it in real time to the chain of command and control. Each country assigned two teams that would carry out digital and analogue triage synchronously. Analogue triage variables were gathered by observers accompanying the first responders. Digital triage times were recorded automatically. Each case was evaluated and classified simultaneously by the two participating teams, to carry out a reliability study in a real time scenario. The total duration of the managing of the incident in the A group of countries involved compared to the B group was 72.5 minutes as opposed to 73 minutes. The total digital assistance triage (AT) time was 37.5 seconds in the digital group, as opposed to 32 minutes in the analogue group. Total evacuation (ET) time was 28 minutes in the digital group compared with 65 minutes in the analogue group. The average differences in total times between the analogue and the digital system, both for primary and secondary evaluation, were statistically significant: p = 0.048 and p = 0.000 respectively. For the "red" category, AT obtained a sensitivity of 100%, also for ET, while with regard to AT safety it obtained a PPV of 61.54% and an NPV of 100%, and for ET it obtained a PPV of 83.33% and an NPV of 100%. For the analogue group, for AT it obtained a sensitivity of 62.50%, for ET, 70%, for AT safety it obtained a PPV of 45.45% and an NPV of 92.31%, while for ET it obtained a PPV of 70% and an NPV of 92.50%. The gap analysis obtained a Kappa index of 0.7674. The triage system using the developed digital tool demonstrated its validity compared to the analogue tool, as a result of which its use is recommended.

Eye-Tracking supported design of digital assistance systems for smart factories

Cognitive assistance systems enable people to receive valuable support in their industrial work tasks and can offer the highest flexibility and individualization possibilities. The increasing need for knowledge and its growing importance lead to a great demand for user-centric cognitive assistance systems. In this sense, eye-tracking is a potential technology to provide better insights in Use behavior in the task fulfillment process. The analysis of the data contributes to understand where the person is directing their attention, how long they are looking at certain areas and whether potentially unnecessary distractions exist. In this way, data-based adjustments can be specifically identified to be able to increase reliability and efficiency in the process. EyeTracking is rarely used in the development of assistance systems for the manufacturing industry. The expected benefit and the effort remain unclear. We show what potential it can offer in the development of cognitive assistance systems and present recommendations for its integration in the design process. The results are based on the empirical findings of a manual industrial application of complex quality measurement of battery module housings for electric vehicles.