BONNIE: Building Online Narratives from Noteworthy Interaction Events

Nowadays, we have access to data of unprecedented volume, high dimensionality, and complexity. To extract novel insights from such complex and dynamic data, we need effective and efficient strategies. One such strategy is to combine data analysis and visualization techniques, which are the essence of visual analytics applications. After the knowledge discovery process, a major challenge is to filter the essential information that has led to a discovery and to communicate the findings to other people, explaining the decisions they may have made based on the data. We propose to record and use the trace left by the exploratory data analysis, in the form of user interaction history, to aid this process. With the trace, users can choose the desired interaction steps and create a narrative, sharing the acquired knowledge with readers. To achieve our goal, we have developed the BONNIE ( Building Online Narratives from Noteworthy Interaction Events ) framework. BONNIE comprises a log model to register the interaction events, auxiliary code to help developers instrument their own code, and an environment to view users’ own interaction history and build narratives. This article presents our proposal for communicating discoveries in visual analytics applications, the BONNIE framework, and the studies we conducted to evaluate our solution. After two user studies (the first one focused on history visualization and the second one focused on narrative creation), our solution has showed to be promising, with mostly positive feedback and results from a Technology Acceptance Model ( TAM ) questionnaire.

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The most used questionnaires for evaluating telemedicine services

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-021-01407-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Sadrieh Hajesmaeel-Gohari ◽

Kambiz Bahaadinbeigy

Keyword(s):

Technology Acceptance ◽

User Interaction ◽

End User ◽

Publication Type ◽

Patient Satisfaction Questionnaire ◽

Satisfaction Questionnaire ◽

Implementation Processes ◽

Pubmed Database ◽

System Usability Scale ◽

Acceptance Model

Abstract Background Questionnaires are commonly used tools in telemedicine services that can help to evaluate different aspects. Selecting the ideal questionnaire for this purpose may be challenging for researchers. This study aims to review which questionnaires are used to evaluate telemedicine services in the studies, which are most common, and what aspects of telemedicine evaluation do they capture. Methods The PubMed database was searched in August 2020 to retrieve articles. Data extracted from the final list of articles included author/year of publication, journal of publication, type of evaluation, and evaluation questionnaire. Data were analyzed using descriptive statistics. Results Fifty-three articles were included in this study. The questionnaire was used for evaluating the satisfaction (49%), usability (34%), acceptance (11.5%), and implementation (2%) of telemedicine services. Among telemedicine specific questionnaires, Telehealth Usability Questionnaire (TUQ) (19%), Telemedicine Satisfaction Questionnaire (TSQ) (13%), and Service User Technology Acceptability Questionnaire (SUTAQ) (5.5%), were respectively most frequently used in the collected articles. Other most used questionnaires generally used for evaluating the users’ satisfaction, usability, and acceptance of technology were Client Satisfaction Questionnaire (CSQ) (5.5%), Questionnaire for User Interaction Satisfaction (QUIS) (5.5%), System Usability Scale (SUS) (5.5%), Patient Satisfaction Questionnaire (PSQ) (5.5%), and Technology Acceptance Model (TAM) (3.5%) respectively. Conclusion Employing specifically designed questionnaires or designing a new questionnaire with fewer questions and more comprehensiveness in terms of the issues studied provides a better evaluation. Attention to user needs, end-user acceptance, and implementation processes, along with users' satisfaction and usability evaluation, may optimize telemedicine efforts in the future.

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PERSEPSI KOMUNITAS SEKOLAH TENTANG LIBRARY APPS TERHADAP PEMBERDAYAAN PERPUSTAKAAN

Edulib ◽

10.17509/edulib.v7i1.7564 ◽

2017 ◽

Vol 7 (1) ◽

Author(s):

Achmad Riyadi Alberto ◽

Riche Cynthia Johan ◽

Gema Rullyana

Keyword(s):

Data Analysis ◽

Technology Acceptance ◽

School Community ◽

Ease Of Use ◽

Community Perception ◽

Mobile Platforms ◽

Information And Communication ◽

Acceptance Model ◽

Descriptive Method

Abstract. This research is motivated by the development of information and communication technology (ICT) in the library world so rapidly that allows libraries in the present to develop its services into digital-based services. This study aims to find out the school community’s perception of library apps developed by Riche Cynthia Johan, Hana Silvana, and Holin Sulistyo and its influence on library empowerment at the library of SD Laboratorium Percontohan UPI Bandung. Library apps in this research belong to the context of m-libraries, which is a library that meets the needs of its users by using mobile platforms such as smartphones,computers, and other mobile devices. Empowerment of library is the utilization of all aspects of the implementation of libraries to the best in order to achieve the expected goals. An analysis of the schoolcommunity’s perception of library apps using the Technology Acceptance Model (TAM) includes: ease of use, usefulness, usability, usage trends, and real-use conditions. While the empowerment of the library includes aspects: information empowerment, empowerment of learning resources, empowerment of human resources, empowerment of library facilities, and library promotion. The research method used in this research is descriptive method with quantitative approach. Population and sample in this research is school community at SD Laboratorium Percontohan UPI Bandung. Determination of sample criteria by using disproportionate stratified random sampling with the number of samples of 83 respondents. Data analysis using simple linear regression to measure the influence of school community perception about library apps to library empowerment. The result of data analysis shows that there is influence between school community perception about library apps to library empowerment at library of SD Laboratorium Percontohan UPI Bandung which is proved by library acceptance level and library empowerment improvement.

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An Empirical Study to Validate the Technology Acceptance Model in Explaining the Intention to Use Technology among Educational Users

Advancing Education with Information Communication Technologies ◽

10.4018/978-1-61350-468-0.ch023 ◽

2012 ◽

pp. 282-294 ◽

Cited By ~ 1

Author(s):

Timothy Teo

Keyword(s):

Data Analysis ◽

Empirical Study ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Structural Models ◽

Intention To Use ◽

Acceptance Model ◽

Acceptance Research ◽

Study Offer

This study examines a sample (N=239) of pre-service teachers’ self-reported intention to use technology. The Technology Acceptance Model (TAM) was used as a research framework in which findings contribute to technology acceptance research by demonstrating the suitability of the TAM to explain the intention to use technology among educational users. Using the structural equation modelling for data analysis, a good fit was found for both the measurement and structural models. Overall, the results of this study offer evidence that the TAM is effective in predicting pre-service teachers’ intention to use technology. This paper concludes with a discussion of the limitations and recommendations for further study.

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Exploring the Technology Adoption Needs of Patients Using E-Health

Health Information Systems ◽

10.4018/978-1-60566-988-5.ch052 ◽

2011 ◽

pp. 845-860

Author(s):

Linda M. Gallant ◽

Cynthia Irizarry ◽

Gloria M. Boone

Keyword(s):

Data Analysis ◽

Technology Acceptance ◽

Web Sites ◽

Specific Area ◽

Ease Of Use ◽

Extended Version ◽

Patient Centered ◽

Five Factors ◽

Acceptance Model ◽

Study Hospital

An extended version of the technology acceptance model (TAM) is applied to study hospital Web sites, one specific area of e-health. In a review of literature, five significant factors from TAM research are identified that are logically related to e-health sites from the user’s perspective: usefulness, ease of use, trust, privacy, and personalization. All five factors emerged in the data analysis of 30 participants using a hospital Web site. We discuss the implications of this study for guiding development of effective patient-centered e-health.

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Hyperbolic Space for Interactive Visualization

Encyclopedia of Data Warehousing and Mining ◽

10.4018/978-1-59140-557-3.ch109 ◽

2011 ◽

pp. 575-581

Author(s):

Jörg Andreas Walter

Keyword(s):

Pattern Recognition ◽

Data Analysis ◽

Hyperbolic Space ◽

Exploratory Data Analysis ◽

Strong Support ◽

Interactive Visualization ◽

User Interaction ◽

Efficient Integration ◽

Exploratory Data ◽

The Given

For many tasks of exploratory data analysis, visualization plays an important role. It is a key for efficient integration of human expertise — not only to include his background knowledge, intuition and creativity, but also his powerful pattern recognition and processing capabilities. The design goals for an optimal user interaction strongly depend on the given visualization task, but they certainly include an easy and intuitive navigation with strong support for the user’s orientation.

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Evaluation of Cyber Security Management in Light of the Technology Acceptance Model

International Journal of Research in Social Sciences and Humanities ◽

10.37648/ijrssh.v11i03.029 ◽

2021 ◽

Vol 11 (3) ◽

Author(s):

Rafid Abdulwahid Mhawi ◽

Prof. Dr. Ali Hasson Fandi

Keyword(s):

Information Technology ◽

Data Analysis ◽

Human Resources ◽

Technology Acceptance ◽

Technology Acceptance Model ◽

Cyber Security ◽

Human Resources Management ◽

Security Management ◽

Resources Management ◽

Acceptance Model

The main objective of the research is to investigate the correlation and influence between cyber security management and the technology acceptance model in the Iraqi Ministry of Interior. The data was collected from (150) respondents represented by an intentional sample of the Directorate of Systems and Informatics and the Information Technology Department in the General Directorate of Human Resources Management and for data analysis, statistical programs (AMOS, SPSS) were employed. By adopting appropriate statistical methods, the results of the research showed that the Ministry of Interior, whenever it tries to pay attention to cyber security management, the more it is reflected in the level of technology acceptance. In other words, cyber security management has a fundamental and influential role in the extent of acceptance of the technology that will be adopted within the ministry.

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LIVE: A Work-Centered Approach to Support Visual Analytics of Multi-Dimensional Engineering Design Data With Interactive Visualization and Data-Mining

Volume 5: 37th Design Automation Conference, Parts A and B ◽

10.1115/detc2011-48333 ◽

2011 ◽

Cited By ~ 1

Author(s):

Xin Yan ◽

Mu Qiao ◽

Timothy W. Simpson ◽

Jia Li ◽

Xiaolong Luke Zhang

Keyword(s):

Data Analysis ◽

Engineering Design ◽

Visual Analytics ◽

Interactive Visualization ◽

User Interaction ◽

Data Sets ◽

Preliminary Evaluation ◽

Complex Data ◽

Design Data ◽

Depth Analysis

During the process of trade space exploration, information overload has become a notable problem. To find the best design, designers need more efficient tools to analyze the data, explore possible hidden patterns, and identify preferable solutions. When dealing with large-scale, multi-dimensional, continuous data sets (e.g., design alternatives and potential solutions), designers can be easily overwhelmed by the volume and complexity of the data. Traditional information visualization tools have some limits to support the analysis and knowledge exploration of such data, largely because they usually emphasize the visual presentation of and user interaction with data sets, and lack the capacity to identify hidden data patterns that are critical to in-depth analysis. There is a need for the integration of user-centered visualization designs and data-oriented data analysis algorithms in support of complex data analysis. In this paper, we present a work-centered approach to support visual analytics of multi-dimensional engineering design data by combining visualization, user interaction, and computational algorithms. We describe a system, Learning-based Interactive Visualization for Engineering design (LIVE), that allows designer to interactively examine large design input data and performance output data analysis simultaneously through visualization. We expect that our approach can help designers analyze complex design data more efficiently and effectively. We report our preliminary evaluation on the use of our system in analyzing a design problem related to aircraft wing sizing.

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