Improve User Satisfaction Research Articles

ANALISIS KUALITAS LAYANAN WEBSITE GRAB MENGGUNAKAN METODE WEBQUAL DI AREA KOTA DENPASAR BALI

Making a website so far only focused on the system, the look and content of the website content is presented regardless of the website user satisfaction, this study aims to determine the level of user satisfaction grab website. WebQual research method using 4.0 as well as the scale linkert as the study interval. WebQual is one method or technique of measuring the quality of a website based on the perception of the end user. 4.0 WebQual method is based on three dimensions of usability, information quality dimensions and dimensional quality of the interaction.
 In the analysis process used tranches sample of respondents to 120 people from among the people who use the website grab. The study used a questionnaire directly in tertuls verbally and directly collected and processed data. The next stage is the analysis of data consisting of validity, reliability and judgment with linkert scale. On the validity of the test using the formula Pearson Bevariate while reliability test using Cronbach's alpha formula. In the assessment using the scale linkert with 4 scale interval.
 Based on the research results obtained have an average total satisfaction very high value on the quality of the website grab the results in each of these dimensions WebQual method wherein the usability dimension produces an average score of 3.34, the dimensions of information quality and interaction quality 3,58 3, 45, in other words in the Likert scale interva include very satisfied. This study is useful as information as information to the grab to improve the quality of website services on an ongoing basis to improve user satisfaction grab website.

Of the People for the People: Digital Literature Resource Knowledge Recommendation Based on User Cognition

We attempt to improve user satisfaction with the effects of retrieval results and visual appearance by employing users’ own information. User feedback on digital platforms has been proven to be one type of user cognition. Through conducting a digital literature resource organization model based on user cognition, our proposal improves both the content and presentation of retrieval systems. This paper takes Powell's City of Books as an example to describe the construction process of a knowledge network. The model consists of two parts. In the unstructured data part, synopses and reviews were recorded as representatives of user cognition. To build the resource category, linguistic and semantic analyses were used to analyze the concepts and the relationships among them. In the structural data part, the metadata of every book was linked with each other by informetrics relationships. The semantic resource was constructed to assist with building the knowledge network. We conducted a mock-up to compare the new category and knowledge-recommendation system with the current retrieval system. Thirty-nine subjects examined our mock-up and highly valued the differences we made for the improvements in retrieval and appearance. Knowledge recommendation based on user cognition was tested to be positive based on user feedback. There could be more research objects for digital resource knowledge recommendations based on user cognition.

User satisfaction analysis for service-now application

A good application system can be seen from the user’s satisfaction. Service-Now is an application used by the service desk division at PT Aero System Indonesia for the needs of customer reports. Many employees face obstacles in operational service-now, so the resulting report is not optimal. In this study will measure the level of user satisfaction on the service-now application. The study was conducted by taking a survey involving 32 staff in the service desk division as respondents. An approach the Importance Performance Analysis (IPA) is used to analyse the data. The results of analysis show ease of use, completeness of a function or feature, and timely enough to satisfy the user. Meanwhile, quality of information needs to be increased in service-now applications to improve user satisfaction.

Joint Radio and Computational Resource Allocation in IoT Fog Computing

The current cloud-based Internet-of-Things (IoT) model has revealed great potential in offering storage and computing services to the IoT users. Fog computing, as an emerging paradigm to complement the cloud computing platform, has been proposed to extend the IoT role to the edge of the network. With fog computing, service providers can exchange the control signals with the users for specific task requirements, and offload users’ delay-sensitive tasks directly to the widely distributed fog nodes at the network edge, and thus improving user experience. So far, most existing works have focused on either the radio or computational resource allocation in the fog computing. In this work, we investigate a joint radio and computational resource allocation problem to optimize the system performance and improve user satisfaction. Important factors, such as service delay, link quality, mandatory benefit, and so on, are taken into consideration. Instead of the conventional centralized optimization, we propose to use a matching game framework, in particular, student project allocation (SPA) game, to provide a distributed solution for the formulated joint resource allocation problem. The efficient SPA-(S,P) algorithm is implemented to find a stable result for the SPA problem. In addition, the instability caused by the external effect, i.e., the interindependence between matching players, is removed by the proposed user-oriented cooperation (UOC) strategy. The system performance is also further improved by adopting the UOC strategy.

Assessment of surgeon experience with femtosecond laser-assisted cataract surgery.

PurposeTo evaluate the collective user experience with an image-guided femtosecond laser (FSL) for cataract surgery in a high-volume, multi-surgeon, ambulatory surgical center.Subjects and methodsA detailed online survey was distributed to all surgeons in a single ambulatory surgical center who had performed cataract surgery using a FSL since its acquisition in December 2012. Information collected included the number of cases performed, typical surgical techniques and parameters, satisfaction with individual features of the laser (rated on a scale from 1=completely unsatisfied to 10=extremely satisfied) and commentary on ease of use and suggested improvements.ResultsSeventeen of 30 surgeons (56.7%) completed the survey, representing a case volume of 1,967 eyes. Fourteen surgeons (82.4%) felt they required ≤10 cases with the FSL to operate with the same safety and control as in standard phacoemulsification surgery. Satisfaction was highest for capsulotomies, lens fragmentation, lens softening, arcuate incisions and the graphic user interface (mean scores 9.4, 8.7, 8.7, 7.2 and 8.9, respectively). Preferred capsulotomy diameter was 4.8–5.2 mm (64.7% of respondents). About half (52.9%) of respondents centered the capsulotomy on the pupil and the other 47.1% centered the capsulotomy using optical coherence tomography. Most respondents (81.3%) preferred transepithelial arcuate incisions compared to intrastromal incisions. Satisfaction was lowest with FSL-created, main, clear corneal incisions and paracenteses (mean scores 4.4 and 4.2, respectively).ConclusionLaser-assisted cataract surgery has a short learning curve and a high rate of user satisfaction. Further software and hardware development is warranted to improve user satisfaction with peripheral and clear corneal incisions.

User Perceptions of the Make Healthy Normal campaign Facebook Page: A Mixed Methods Study

Facebook is used as part of public health communication efforts but little evidence is available on why people engage with health-related Facebook pages and what content appeals to them. This study aimed to investigate user perceptions of and experience with the Make Healthy Normal (MHN) Facebook page, part of a government campaign to address overweight and obesity in adults in New South Wales, Australia. This sequential mixed methods study comprised an online survey ( n = 591) and six focus groups ( n = 33) of Facebook users, including both fans (i.e., users who have “liked” the MHN page) and non-fans. We analyzed the online survey descriptively and employed inductive thematic analysis for the focus groups, integrating the two data sources at the stage of interpretation. Our results show that MHN and similar health pages are in demand but that there are a number of contextual and content-related factors that are critical in determining user engagement and over which page administrators have varying levels of influence. Contextual factors, including the drivers for user engagement and Facebook user practices, can be leveraged or managed to influence user engagement but they cannot be controlled. On the contrary, content factors, like the nature of posts, post presentation, and post subject, can be directly influenced by page administrators. Policymakers and practitioners can use these findings to inform the design and operation of their own Facebook pages and should look to conduct and disseminate robust evaluation of their pages to improve user satisfaction and engagement.

The construction and validation of a usability evaluation survey for mobile learning environments

The advent of mobile technologies in learning context, has been increased the requirements for developing appropriate usability model to align with mobile learning applications. Even though mobile learning has been studied from different aspects of pedagogy environment and technology acceptance, there is little scientific and published research on usability of mobile learning applications. To fill up the gap, in this study, a usability evaluation model with the inclusion of timeliness is developed to assess the usability of mobile learning applications. Timeliness or response time as an important feature in mobile learning, which influences learning satisfaction, can be considered to evaluate the peers and instructors’ timely response. The main objective of this study is to construct and validate a usability evaluation survey for mobile learning environments. This study employed a two round Delphi method to empirically verify the usability questionnaire by obtaining a consensus from fourteen experts regarding the questionnaire items. Results indicate that over 88% of experts have consented on all usability items represented in the usability questionnaire. The usability evaluation survey for mobile learning applications can help to improve user satisfaction and reductions in training costs. The decrease in costs attracts many researchers, interface designers and project managers to employ the usability evaluation when designing the interfaces for mobile learning applications.

Group medical consultations (GMCs) and tablet-based online support group sessions in the follow-up of breast cancer: A multicenter randomized controlled trial

ObjectiveGroup medical consultations (GMCs) provide individual medical visits in the presence of ≤7 peer-patients. In the follow-up of breast cancer, we evaluated the efficacy of a new type of blended care My-GMC, a GMC combined with a tablet-based online app, consisting of three online support group sessions (SGS) and additional information. MethodsThis randomized controlled trial compared the effect of My-GMC (n = 59) with one individual medical visit (n = 50) (care as usual). Between-group differences on the outcomes distress and empowerment were analyzed 1 week, 3 and 6 months after the visit. ResultsNo between-group differences were found for the primary outcomes distress and empowerment. More themes were discussed in GMCs compared to individual visits. Significantly more patients experienced peer-support in GMCs (78%) than via the online app (29%). Satisfaction with the online app was low. ConclusionsMy-GMC did not result in improvements in distress or empowerment, which might partly be explained by low baseline distress levels. This paper provides valuable information concerning factors on organizational level as well as individual level influencing the evaluation of a blended care intervention. Practice implicationsMy-GMC provided an innovative alternative, combining professional and peer-support in face-to-face and online SGS, resulting in additional information provision and peer-support. Further improvement of the apps is needed to improve user satisfaction. Netherlands Trial RegisterNTR3771.

A novel recommendation system based on semantics and context awareness

The existing content-based recommendation methods have two major limitations. First, due to the defects of the items and the user model matching algorithms, the recommendation results are very narrow. Second, scant attention is paid to the scenario, making the recommendation system not context-aware. It is essential to improve user satisfaction through high-quality recommendation. In this paper, two state-of-the-art methods are analyzed and extended to enhance recommendation performance. The first method is the context-aware recommender, which integrates context information into the recommendation process. The second method is the semantic analysis-based recommender, which incorporates domain semantics. Despite their compatibility, the challenge is to combine them in a way that will fully exploit their potential. An improved content-based model is proposed in this paper incorporating both semantics and context. Context-aware recommendation is performed to improve sensitivity to the context. Semantic relevance-based instance similarity is computed to address the problem of narrowness. The proposed recommendation system is evaluated using metrics (for instance, recall metric) and paralleled with the current methods grounded on the content. Results demonstrate the superiority of the proposed system in terms of accuracy.

Development of a Protocol for Automated Glucose Measurement Transmission Used in Clinical Decision Support Systems Based on the Continua Design Guidelines.

A fast and accurate data transmission from glucose meter to clinical decision support systems (CDSSs) is crucial for the management of type 2 diabetes mellitus since almost all therapeutic interventions are derived from glucose measurements. Aim was to develop a prototype of an automated glucose measurement transmission protocol based on the Continua Design Guidelines and to embed the protocol into a CDSS used by healthcare professionals. A literature and market research was performed to analyze the state-of-the-art and thereupon develop, integrate and validate an automated glucose measurement transmission protocol in an iterative process. Findings from literature and market research guided towards the development of a standardized glucose measurement transmission protocol using a middleware. The interface description to communicate with the glucose meter was illustrated and embedded into a CDSS. A prototype of an interoperable transmission of glucose measurements was developed and implemented in a CDSS presenting a promising way to reduce medication errors and improve user satisfaction.

Utility Value-Based User′s Preference Evaluation to Select Design Alternatives for Customized Apartment Housing Remodeling

As an alternative method for architectural regeneration, remodeling is drawing keen attention. However, it has turned out that post-occupancy satisfaction is quite low. The main reason for the low satisfaction lies in the remodeling method that does not consider functions demanded by users, but carries it out in an expensive and uniform structure. As for architectural function, multiple functions are required to meet resident′s demands for performance and functional values are apt to conflict with each other, which means when one function improves, others are limited in terms of value. Therefore, user requirements should be well defined to increase their satisfaction while considering functions in conflict. In this respect, the present study proposes a method for user preference evaluation to define functions that a user requires, and thus for maximizing the values of remodeling by improving user satisfaction and residential performance.

An Interpretable Joint Graphical Model for Fact-Checking From Crowds

Assessing the veracity of claims made on the Internet is an important, challenging, and timely problem. While automated fact-checking models have potential to help people better assess what they read, we argue such models must be explainable, accurate, and fast to be useful in practice; while prediction accuracy is clearly important, model transparency is critical in order for users to trust the system and integrate their own knowledge with model predictions. To achieve this, we propose a novel probabilistic graphical model (PGM) which combines machine learning with crowd annotations. Nodes in our model correspond to claim veracity, article stance regarding claims, reputation of news sources, and annotator reliabilities. We introduce a fast variational method for parameter estimation. Evaluation across two real-world datasets and three scenarios shows that: (1) joint modeling of sources, claims and crowd annotators in a PGM improves the predictive performance and interpretability for predicting claim veracity; and (2) our variational inference method achieves scalably fast parameter estimation, with only modest degradation in performance compared to Gibbs sampling. Regarding model transparency, we designed and deployed a prototype fact-checker Web tool, including a visual interface for explaining model predictions. Results of a small user study indicate that model explanations improve user satisfaction and trust in model predictions. We share our web demo, model source code, and the 13K crowd labels we collected.

Auction-Based Cloud Service Pricing and Penalty with Availability on Demand

Availability is one of the main concerns of cloud users, and cloud providers always try to provide higher availability to improve user satisfaction. However, higher availability results in higher provider costs and lower social welfare. In this paper, taking into account both the users’ valuation and desired availability, we design resource allocation, pricing and penalty mechanisms with availability on demand. Considering two scenarios: public availability in which the desired availabilities of all users are public information, and private availability in which the desired availabilities are private information of users, and, analyzing the possible behaviours of users, we design a truthful deterministic mechanism with 2-approximation in public availability scenario and a universal truthful mechanism with 1 1 + γ approximation in private availability scenario, where γ is the backup ratio of resources with the highest availability. The experiment results show that our mechanisms significantly improve the social welfare compared to the mechanism without considering availability demand of users.

Implementation of an integrated computerized prescriber order-entry system for chemotherapy in a multisite safety-net health system.

The development of a computerized prescriber order-entry (CPOE) system for chemotherapy in a multisite safety-net health system and the challenges to its successful implementation are described. Before CPOE for chemotherapy was first implemented and embedded in the electronic medical record system of Harris Health System (HHS), pharmacy personnel relied on regimen-specific preprinted order sets. However, due to differences in practice styles and workflow logistics, the paper orders across the 3 facilities were mostly site specific, with varying clinical content. Many of these order sets had not been approved by the oncology subcommittee. In addition, disparities in clinical knowledge and lack of communication contributed to inconsistencies in order set development. Led by medical directors from medical oncology departments at the 3 facilities, pharmacy administrators, and information technology representatives, HHS committed resources to supporting the adoption and use of a CPOE system for chemotherapy. Five practical lessons of broad applicability have been learned: engagement of interprofessional stakeholders, optimization of workflow before CPOE implementation, requirement of verification tool for CPOE, consolidation of protocols, and commitment to ongoing training and support. Evaluation of the CPOE system demonstrated a systemwide reduction in medication errors by 75% (p < 0.05). Satisfaction with the CPOE system varied among sites and was unchanged institutionwide 6 months after the CPOE implementation. The development and implementation of CPOE for chemotherapy at a multisite safety-net health system created opportunities to optimize patient care and reduce variations through interprofessional collaborations. Initial evaluation suggested that CPOE reduced the medication-order error rate and improved user satisfaction in 1 of 3 facilities.

Round Robin with Load Degree: An Algorithm for Optimal Cloudlet Discovery in Mobile Cloud Computing

Mobile devices have become essential in our daily lives but it has limited resources such as battery life, storage, and processing capacity. Offloading resource intensive task into the cloud is an efficient approach to improve battery utilization, storage capacity and processing capabilities. Efficiently computing using cloud resources to process offloaded task in order to improve response time and reduce both tasks waiting time and latency problems is one of the main goals in mobile cloud computing (MCC). In order to improve user satisfaction and performance of the mobile application, a cloudlet framework concept has been developed to reduce latency problems which improve response time. The cloudlet brings the cloud closer to the user to perform a computational task. This article proposes a new balancing model among cloudlets in mobile cloud computing environment to find the required resources and create an impact on performance. The efficient load balancing model makes mobile cloud computing more attractive and improves user satisfaction. This paper introduces a Round Robin with Load degree algorithm for public cloudlets in mobile cloud computing using a switch mechanism to choose different approaches for different situations. This algorithm uses game theory based load balancing approach to improve application response time in public mobile cloud environments.

Model of psychoacoustic sportiness for vehicle interior sound: Excluding loudness

As vehicle interior noise control technology has significantly improved, focusing on vehicle interior sound quality has been suggested recently for improving user satisfaction. Research on the improvement of vehicle interior sound quality can be applied to the design of vehicle interior sound in order to achieve the desired image. For targeting the desired image, however, the subjective assessment of sound quality should be correlated with objective values because only quantitative and measurable data can be used for the control of vehicle interior sound. In this study, a model of psychoacoustic sportiness for vehicle interior sound was developed to target the “sporty” image of vehicles. The interior sounds of various vehicles were recorded under wide open throttle (WOT) acceleration condition, and subsequently modified to obtain additional sound samples. The loudness values of all stimuli were adjusted to the same value for excluding the impact of loudness on sportiness. In order to achieve subjective assessments of sportiness, a jury test was conducted, and sportiness was quantified using regression analysis. Therefore, the model for psychoacoustic sportiness was determined as a function of roughness, sharpness, and tonality. In a validity study, the sportiness estimated by this model was consistent with the observed sportiness of the additional jury test. Consequently, it was suggested that the sportiness model proposed in this paper is reliable and can be applied practically because the effect of loudness was excluded.

Flexible and reliable ERP project customization framework to improve user satisfaction level

Enterprise resource planning (ERP) is typically a business process management software, which lets an organization to utilize a system consisting of integrated applications for the management of the business and automation of several back office functions concerned with technology, services and human resources. It has to be planned and developed in an efficient manner in order to assure the enhancement of the process of software development. In the new research framework, an optimal and reliable enterprise resource planning system, which is named analytic hierarchy process based requirement customization framework (AHP-RCF) is proposed. The main goal of this research method is to ensure the optimal and reliable construction of ERP projects with ensured customization requirements. In the new research technique, requirements of various types such as application requirement, process requirements and design requirements are ranked on the basis of their level of priority making use of AHP technique. The AHP is a multi-criteria decision making method that helps the decision-maker facing a complex problem with multiple conflicting and subjective criteria Moreover, in order to enhance the customization requirement and carrying out it in an effective manner, the user requirements are collected in a dynamic manner. Dynamic user interaction is facilitated in order to collect the user defined from requirements during run time that would be assessed and then learned dynamically making use of SVM classification algorithm to enhance the scenario of future software requirement. The overall assessment of the research approach is carried out in the java simulation environment, which proves that the new research methodology results in providing the optimal outcome compared to the available research techniques.

Research on the impact mechanism of user satisfaction with Software as a Service

Software as a Service(SaaS)has become a mainstream way for enterprises and governments to promote informatization. However, it is very easy for users to change their SaaS supplier due to low implementation costs. Improving user satisfaction with SaaS products and ensuring their continued usage by users present practical challenges that SaaS suppliers cannot ignore. The traditional information system success model only pays attention to the quality of products which is known as internal quality. This paper combines the internal quality features of SaaS with the suppliers’ quality and environmental quality. These two qualities constitute external quality, which also affect user satisfaction. The study comprehensively explores the impact mechanism of SaaS user satisfaction based on the integrated perspective of internal quality and external quality. We use SPSS23.0 and SmartPLS to examine the hypothesis with data from 212 valid questionnaires. The study finds that system, information, service, supplier, and environmental quality have a significant effect on user satisfaction, and the influence of service quality is the greatest.

Analysis of Student Satisfaction Toward Quality of Service Facility

The development of higher education is very rapid rise to the tight competition both public universities and private colleges. XYZ University realized to win the competition, required continuous quality improvement, including the quality of existing service facilities. Amenities quality services is believed to support the success of the learning activities and improve user satisfaction. This study aims to determine the extent to which the quality of the services effect on user satisfaction. The research method used is survey-based questionnaire that measure perception and expectation. The results showed a gap between perception and expectations of the respondents have a negative value for each item. This means XYZ service facility at the university is not currently meet the expectations of society members. Three service facility that has the lowest index is based on the perception of respondents is a laboratory (2.56), computer and multimedia (2.63) as well as wifi network (2.99). The magnitude of the correlation between satisfaction with the quality of service facilities is 0.725 which means a strong and positive relationship. The influence of the quality of service facilities to the satisfaction of the students is 0.525 meaning that the variable quality of the services facility can explain 52.5% of the variable satisfaction. The study provided recommendations for improvements to enhance the quality of services facility at the XYZ university facilities.

Study on the Recommended Model Based on Personal Information System

This paper classifies the scenario elements which affect the real-time information needs of mobile commerce users, and proposes a nomination model that integrates the user’s personalized context elements. In this model, the top K scenarios that have the greatest impact on each user’s instant information demands are calculated from the user’s current scenario and historical data, thereby constructing a user personalized situation and improving it as an input condition that existing scenario-based multi-dimensional information recommendation algorithm is used for project nomination. Result/Conclusion: The improved algorithm and other three algorithms were compared by Movie lens and MBook Crossing dataset. The experimental results show that the model has higher prediction accuracy and can effectively improve user satisfaction and more effectively and solve personalized nomination issues in a mobile commerce environment.