Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization

For vulnerable patient populations, such as children with medical complexity (CMC), the patient journey is fraught with challenges. By providing a range of perspectives including clinicians, a family caregiver, and Human Factors/Ergonomics (HF/E) experts, the present panel will describe the unique opportunities for HF/E to design jointly optimized systems for CMC and their family caregivers, including an explication of some of the specific challenges and complexities related to studying the work of and designing systems for this population. We will also highlight the ways in which HF/E could help in the design of solutions to improve outcomes for families.

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An Integration of Empirical Study Participants into the Mobile Data Analysis Through Information Visualization

End-User Development - Lecture Notes in Computer Science ◽

10.1007/978-3-319-58735-6_11 ◽

2017 ◽

pp. 150-166

Author(s):

Thomas Ludwig ◽

Kevin Schneider ◽

Volkmar Pipek

Keyword(s):

Data Analysis ◽

Empirical Study ◽

Information Visualization ◽

Mobile Data ◽

Study Participants

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Challenges and Opportunities in the Use of Radio Broadcast for Development in Ethiopia: Secondary Data Analysis

Online Journal of Communication and Media Technologies ◽

10.29333/ojcmt/2421 ◽

2013 ◽

Vol 3 (2) ◽

Author(s):

Jemal Mohammed

Keyword(s):

Data Analysis ◽

Secondary Data ◽

Secondary Data Analysis ◽

Challenges And Opportunities ◽

Radio Broadcast

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Interactive information visualization for exploratory intelligence data analysis

Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium ◽

10.1109/vrais.1996.490532 ◽

1996 ◽

Cited By ~ 4

Author(s):

J. Risch ◽

R. May ◽

J. Thomas ◽

S. Dowson

Keyword(s):

Data Analysis ◽

Information Visualization

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A Classification Framework for Data Mining Applications in Criminal Science and Investigations

Cyber Warfare and Terrorism ◽

10.4018/978-1-7998-2466-4.ch018 ◽

2020 ◽

pp. 277-293

Author(s):

Mahima Goyal ◽

Vishal Bhatnagar ◽

Arushi Jain

Keyword(s):

Data Mining ◽

Data Analysis ◽

Data Mining Techniques ◽

Road Map ◽

Classification Framework ◽

Challenges And Opportunities ◽

Crucial Information ◽

Tools And Techniques ◽

Day By Day ◽

Mining Tools

The importance of data analysis across different domains is growing day by day. This is evident in the fact that crucial information is retrieved through data analysis, using different available tools. The usage of data mining as a tool to uncover the nuggets of critical and crucial information is evident in modern day scenarios. This chapter presents a discussion on the usage of data mining tools and techniques in the area of criminal science and investigations. The application of data mining techniques in criminal science help in understanding the criminal psychology and consequently provides insight into effective measures to curb crime. This chapter provides a state-of-the-art report on the research conducted in this domain of interest by using a classification scheme and providing a road map on the usage of various data mining tools and techniques. Furthermore, the challenges and opportunities in the application of data mining techniques in criminal investigation is explored and detailed in this chapter.

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Perceived Challenges and Opportunities of Digital Games

Handbook of Research on Innovations in Non-Traditional Educational Practices - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-7998-4360-3.ch012 ◽

2021 ◽

pp. 237-256

Author(s):

Khalifa Alshaya ◽

Pamela Beck

Keyword(s):

Data Analysis ◽

Qualitative Study ◽

Digital Games ◽

The Other ◽

Teaching Philosophy ◽

Teachers Experiences ◽

Challenges And Opportunities ◽

And Training ◽

Support Time ◽

Pedagogical Challenge

This qualitative study explored the perceived challenges ELL teachers encounter when using and implementing digital games as educational tools. Six ELL teachers were interviewed, and a phenomenological lens was used to analyze the data. The synthesis of textural and structural meanings and essences as a last step of phenomenological data analysis lead to two major findings of ELL teachers' experiences with digital games: logistical and pedagogical. The findings indicate that there is a lack of resources, support, time, and overwhelming choices that characterize the logistical challenges. On the other hand, ELL teachers teaching philosophy, curriculum, and training highlights the pedagogical challenge of incorporating digital games.

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