Relationships among Characteristics of Tourism Contents on YouTube, User Satisfaction and Travel Intention : Additional test of differences among the variables by user characteristics

2021 ◽  
Vol 25 (2) ◽  
pp. 183-207
Author(s):  
Eunkyung Park ◽  
Keyword(s):  
User Satisfaction ◽  
User Characteristics ◽  
Additional Test

Applying KANO Model for Users’ Satisfaction Assessment in E-Learning Systems

2012 ◽  
Vol 8 (3) ◽  
pp. 1-12 ◽  
Author(s):  
Maryam Rezaie ◽  
Hamid Eslami Nosratabadi ◽  
Hamed Fazlollahtabar
Keyword(s):  
User Interface ◽  
User Satisfaction ◽  
User Behavior ◽  
Asynchronous Learning ◽  
User Characteristics ◽  
Kano Model ◽  
Knowledge Based ◽  
Knowledge Based Economy ◽  
High Satisfaction ◽  
E Learning

Many projects fail due to lack of product development to meet customer needs, leading to a waste of organizational resources and non systematic creation of products. Understanding user behavior and the effective management are key elements in the competitive knowledge-based economy. One of the outlets for knowledge-based economy is e-learning, facilitating education using information technology (IT) infrastructure, which plays an important role in today’s virtual world breaking distance and time obstacles. The purpose of this study is to probe e-learning users’ satisfaction attributes having noticeable impacts on enhancing instruction paradigm. Therefore, using two concepts of asynchronous learning and KANO model, the authors conduct a survey on user satisfaction in e-learning educational centers in Iran via interviews. Five satisfaction factors are pedagogical regulation, user characteristics, user interface, ICT infrastructures, group interactivity, and content. A questionnaire is proposed based on KANO concept and samples are collected. The statistical analyses are worked out on questionnaires applying Statistical Package for the Social Sciences (SPSS) software package. The results show that group interaction and user interface have high satisfaction level while content and infrastructures are the effective factors of dissatisfaction.

User Satisfaction with Web Portals

2011 ◽  
pp. 192-204 ◽  
Author(s):  
Li Xiao ◽  
Subhasish Dasgupta
Keyword(s):  
User Satisfaction ◽  
Work Experience ◽  
Common Interest ◽  
Web Portals ◽  
User Characteristics ◽  
Multiple Sources ◽  
A Site ◽  
User Friendly ◽  
The Impact ◽  
E Mail

A Web portal is a site that aggregates information from multiple sources on the World Wide Web and organizes this material in an easy user-friendly manner. Portals usually consist of a search engine, e-mail, news, and interactive chat facilities. The two main types of portals are horizontal and vertical portals. A horizontal portal is a Web site that provides consumers access to a number of different sites in terms of content and functionality. A vertical portal focuses on a specific community of users who share a common interest. In this chapter we investigate the impact of user characteristics such as gender, age, experience, and Web use on user satisfaction with Web portals. In our study we are unable to detect any differences in satisfaction based on gender. We find that the users with seven to 10 years of work experience are most satisfied with Web portals, while users with more than 10 years work experience report least satisfaction with Web portals. We also find that users that use Web portals the least (30 to 60 minutes per week) are least satisfied with them. Users of vertical (or customer community) portals are always more satisfied than users of horizontal (or mega) portals.

scholarly journals Modeling of Recommendation System Based on Emotional Information and Collaborative Filtering

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1997
Author(s):  
Tae-Yeun Kim ◽  
Hoon Ko ◽  
Sung-Hwan Kim ◽  
Ho-Da Kim
Keyword(s):  
Collaborative Filtering ◽  
Kernel Function ◽  
User Satisfaction ◽  
Recommendation System ◽  
Feature Selection Method ◽  
Support Vector ◽  
Emotional States ◽  
User Characteristics ◽  
Rbf Kernel ◽  
Optimal Kernel

Emotion information represents a user’s current emotional state and can be used in a variety of applications, such as cultural content services that recommend music according to user emotional states and user emotion monitoring. To increase user satisfaction, recommendation methods must understand and reflect user characteristics and circumstances, such as individual preferences and emotions. However, most recommendation methods do not reflect such characteristics accurately and are unable to increase user satisfaction. In this paper, six human emotions (neutral, happy, sad, angry, surprised, and bored) are broadly defined to consider user speech emotion information and recommend matching content. The “genetic algorithms as a feature selection method” (GAFS) algorithm was used to classify normalized speech according to speech emotion information. We used a support vector machine (SVM) algorithm and selected an optimal kernel function for recognizing the six target emotions. Performance evaluation results for each kernel function revealed that the radial basis function (RBF) kernel function yielded the highest emotion recognition accuracy of 86.98%. Additionally, content data (images and music) were classified based on emotion information using factor analysis, correspondence analysis, and Euclidean distance. Finally, speech information that was classified based on emotions and emotion information that was recognized through a collaborative filtering technique were used to predict user emotional preferences and recommend content that matched user emotions in a mobile application.

scholarly journals Understanding the evaluation of mHealth app features based on a cross-country Kano analysis

2021 ◽  
Author(s):  
Henner Gimpel ◽  
Tobias Manner-Romberg ◽  
Fabian Schmied ◽  
Till J. Winkler
Keyword(s):  
User Satisfaction ◽  
Personal Health Record ◽  
Personal Health ◽  
User Characteristics ◽  
Privacy Concerns ◽  
Subgroup Differences ◽  
Adult Playfulness ◽  
User Characteristic ◽  
Cross Country ◽  
Mhealth Apps

AbstractWhile mobile health (mHealth) apps play an increasingly important role in digitalized health care, little is known regarding the effects of specific mHealth app features on user satisfaction across different healthcare system contexts. Using personal health record (PHR) apps as an example, this study identifies how potential users in Germany and Denmark evaluate a set of 26 app features, and whether evaluation differences can be explained by the differences in four pertinent user characteristics, namely privacy concerns, mHealth literacy, mHealth self-efficacy, and adult playfulness. Based on survey data from both countries, we employed the Kano method to evaluate PHR features and applied a quartile-based sample-split approach to understand the underlying relationships between user characteristics and their perceptions of features. Our results not only reveal significant differences in 14 of the features between Germans and Danes, they also demonstrate which of the user characteristics best explain each of these differences. Our two key contributions are, first, to explain the evaluation of specific PHR app features on user satisfaction in two different healthcare contexts and, second, to demonstrate how to extend the Kano method in terms of explaining subgroup differences through user characteristic antecedents. The implications for app providers and policymakers are discussed.

scholarly journals Exploring the factors associated with expert systems success

1997 ◽  
Vol 4 (1) ◽  
pp. 8-36 ◽  
Author(s):  
Tor Guimaraes ◽  
Youngohc Yoon ◽  
Quinton O’Neal
Keyword(s):  
Expert Systems ◽  
User Satisfaction ◽  
Systems Approach ◽  
User Involvement ◽  
Project Managers ◽  
User Characteristics ◽  
End User ◽  
Implementation Success ◽  
Domain Experts ◽  
People Skills

As the widespread use and company dependency on Expert Systems increase, so does the need to assess their value and to ensure implementation success. This study identified and empirically tested eight major variables proposed in the literature as determinants of ES success, in this case measured in terms of user satisfaction. IBM's Corporate Manufacturing Expert Systems Project Center collected information from 69 project managers to support the study. The results clearly support the hypothesized relationships and suggest the need for ES project managers to pay special attention to these determinants of ES implementation success. ES success is directly related to the quality of developers and of the ES shells used, end-user characteristics and degree of user involvement in ES development, as each has been defined in this study. For exploratory purposes, the component items for each of these major variables were correlated with the components of user satisfaction. Based on the results, several recommendations are proposed for ES project managers to enhance the likelihood of project success, including: adding problem difficulty as a criterion for ES application selection; increasing ES developer training to improve their people skills, ability to model and to use a systems approach in solving business problems; shaping end-user attitudes and expectations regarding ES; improving the selection of domain experts; more thoroughly understanding the ES impact on end-user jobs; restricting the acquisition of ES shells based on a proposed set of criteria; and ensuring a proper match of ES development techniques and tools to the business problem at hand.

scholarly journals Design Space and Evaluation Challenges of Adaptive Graphical User Interfaces

AI Magazine ◽  
2009 ◽  
Vol 30 (4) ◽  
pp. 68 ◽  
Author(s):  
Leah Findlater ◽  
Krzysztof Z. Gajos
Keyword(s):  
User Interfaces ◽  
User Satisfaction ◽  
Design Space ◽  
Graphical User Interfaces ◽  
User Characteristics ◽  
Improve Performance ◽  
Task Choice ◽  
The Impact ◽  
Adaptive Interaction ◽  
Overall Effectiveness

Adaptive graphical user interfaces (GUIs) have the potential to improve performance and user satisfaction by automatically tailoring the presentation of functionality to each individual user. In practice, however, many challenges exist and evaluation results of adaptive GUIs have been mixed. To guide researchers and designers in developing effective adaptive GUIs, we outline a design space and discuss three important aspects to consider when conducting user evaluations of these types of interfaces: the control and reporting of adaptive algorithm characteristics, the impact of task choice and user characteristics on the overall effectiveness of a design, and evaluation measures that are appropriate for adaptive interaction.

Success of National Healthcare Services Information Systems

2017 ◽  
pp. 328-354
Author(s):  
Wei-Hsi Hung ◽  
Li-Min Chang ◽  
Mei-Hui Lee
Keyword(s):  
Information Systems ◽  
User Satisfaction ◽  
Organizational Context ◽  
Critical Factor ◽  
Healthcare Services ◽  
Public Healthcare ◽  
User Characteristics ◽  
National Healthcare ◽  
System Use ◽  
Typical Type

Due to the rising awareness of national health insurance services and the wide-spread use of information systems, the implementation of National Healthcare Services Systems (NHSS) becomes an important objective to the countries in the world. However, it is not an easy task to implement such a large-scale system because we often counter a great number of managerial problems. This study identifies influential factors and constructs a model from the dimensions of user characteristics, organizational context, and system characteristics for explaining National Healthcare Services Systems (NHSS) success in Taiwan based on the survey of 1215 public healthcare workers. Several key findings have been proposed. First, eight salient factors were influential to NHSS success. Second, the NHSS is not a typical type of IS, since it is designed to provide accurate health information to support the routine NHS activities. The results demonstrate that information quality is the most critical factor in influencing system use and user satisfaction. Third, this study found that service quality has a strong and positive effect on system use and user satisfaction. Fourth, to increase system use and user satisfaction, this study suggests that the NHSS provider should communicate closely with its users to gather information about their needs and preferences, and pay more attention to each individual for providing quality service. It is hoped that the findings of current study can assist governments in other countries in developing more effective NHSS and better e-Government practices.

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