Evaluating Interactive Visualization Techniques on Small Touch Screen Devices

Abstract There is an increasing interest in using touch-screen devices to conduct cognitive training and collect measurements of cognitive performance. However, older adults often have concerns such as anxiety about using these systems and poor comprehension of language instructions (Czaja & Lee, 2007). Given that Singapore is a multilingual society, we examined the deployment of an age-friendly multi-modal touch-screen platform (a game-based application on a tablet) in a cognitive intervention research. After modification of the platform to include features such as simplified instructions, multi-level prompts with a local accent, and four different instructional languages (including local dialects), participants were less reliant on the researchers and reported fewer difficulties in comprehending the instructions. The integrity and reliability of the data collected improved as a result. In sum, multilingual age-friendly touch-screen platform can be a novel yet effective method to study cognitive interventions in the Asian older adult populations.

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Presentation design of e-assessments for blind users using touch screen devices

Proceedings of the International Conference on ELECTRONICS, COMPUTERS and ARTIFICIAL INTELLIGENCE - ECAI-2013 ◽

10.1109/ecai.2013.6636214 ◽

2013 ◽

Cited By ~ 1

Author(s):

Mohammed Fakrudeen ◽

Sufian Yousef ◽

Abdelrahman H. Hussein ◽

Maaruf Ali

Keyword(s):

Touch Screen ◽

Blind Users ◽

Touch Screen Devices

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The Ergonomic Impact of Swype

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1541931213601317 ◽

2016 ◽

Vol 60 (1) ◽

pp. 1374-1378 ◽

Cited By ~ 2

Author(s):

Ibukun A. Sonaike ◽

Tosin A. Bewaji ◽

Paul Ritchey ◽

S. Camille Peres

Keyword(s):

New Technology ◽

Touch Screen ◽

Dynamic Activity ◽

Extensor Muscles ◽

Main Effect ◽

Potential Risks ◽

Touch Screen Devices ◽

Study Participants ◽

Main Effects ◽

Biomechanical Strain

Background:Shape writing is relatively new technology for on-screen keyboards that enable users of mobile touch-screen devices to input text by drawing continuous lines. With growth of touch-screen device usage, there has risen the need to investigate potential risks that may occur during prolonged usage. Objective: The biomechanical strain on upper limb muscles were assessed while study-participants used Swype technology on a tablet touch screen device and compared with traditional/regular input methods. Methods: Study-participants performed typing tasks (email and text) using Swype and regular input methods under counterbalanced conditions with sEMG data collected to measure muscle activity during tasks. Results: Email & Text had the same exertion for all muscles except the Extensor. The interaction between task and muscle was significant, F (1.6, 27.5) = 15.39, p < .001, ηp2 = 0.48. The interaction between muscle, task and method was also significant, F (2.19, 37.19) = 3.6, p = 0.03, ηp2= 0.18. Exertion was lower for Swype but with marginal significance. Overall, Email resulted in less dynamic activity than Text with Main effects F(1, 17) = 10.07, p = 0.006, ηp2 = 0.37. Extensor has more dynamic activity than other muscles with main effect F(1.8, 29.9) = 16.51, p < 0.001, ηp2 = 0.49. Conclusion: Results indicate that Swype presents no more biomechanical strain than regular input for most muscles. Swype may result in less exertion for the Extensor muscles in the lower arm. This may be particularly true for tasks requiring interactions like those found in the email task.

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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data

Journal of Electrical and Computer Engineering ◽

10.1155/2016/2635124 ◽

2016 ◽

Vol 2016 ◽

pp. 1-17 ◽

Cited By ~ 3

Author(s):

Johannes Jordan ◽

Elli Angelopoulou ◽

Andreas Maier

Keyword(s):

Hyperspectral Image ◽

Imaging Modality ◽

High Capacity ◽

Interactive Visualization ◽

Image Data ◽

Hyperspectral Image Analysis ◽

Supervised Segmentation ◽

Hyperspectral Image Data ◽

Visualization Techniques ◽

Application Specific

Multispectral and hyperspectral images are well established in various fields of application like remote sensing, astronomy, and microscopic spectroscopy. In recent years, the availability of new sensor designs, more powerful processors, and high-capacity storage further opened this imaging modality to a wider array of applications like medical diagnosis, agriculture, and cultural heritage. This necessitates new tools that allow general analysis of the image data and are intuitive to users who are new to hyperspectral imaging. We introduce a novel framework that bundles new interactive visualization techniques with powerful algorithms and is accessible through an efficient and intuitive graphical user interface. We visualize the spectral distribution of an image via parallel coordinates with a strong link to traditional visualization techniques, enabling new paradigms in hyperspectral image analysis that focus on interactive raw data exploration. We combine novel methods for supervised segmentation, global clustering, and nonlinear false-color coding to assist in the visual inspection. Our framework coined Gerbil is open source and highly modular, building on established methods and being easily extensible for application-specific needs. It satisfies the need for a general, consistent software framework that tightly integrates analysis algorithms with an intuitive, modern interface to the raw image data and algorithmic results. Gerbil finds its worldwide use in academia and industry alike with several thousand downloads originating from 45 countries.

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Mobile communication for Intellectually Challenged people: A proposed set of requirements for interface design on touch screen devices

Communications in Mobile Computing ◽

10.1186/2192-1121-1-1 ◽

2012 ◽

Vol 1 (1) ◽

pp. 1 ◽

Cited By ~ 11

Author(s):

Zelai Saenz de Urturi Breton ◽

Fernando Jorge Hernandez ◽

Amaia Mendez Zorrilla ◽

Begonya Garcia Zapirain

Keyword(s):

Mobile Communication ◽

Interface Design ◽

Touch Screen ◽

Touch Screen Devices

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Imitation-Resistant Passive Authentication Interface for Stroke-Based Touch Screen Devices

Communications in Computer and Information Science - HCI International 2020 - Posters ◽

10.1007/978-3-030-50732-9_72 ◽

2020 ◽

pp. 558-565

Author(s):

Masashi Kudo ◽

Hayato Yamana

Keyword(s):

Touch Screen ◽

Passive Authentication ◽

Touch Screen Devices

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KnetMaps: a BioJS component to visualize biological knowledge networks

F1000Research ◽

10.12688/f1000research.16605.1 ◽

2018 ◽

Vol 7 ◽

pp. 1651 ◽

Cited By ~ 3

Author(s):

Ajit Singh ◽

Christopher J. Rawlings ◽

Keywan Hassani-Pak

Keyword(s):

Information Overload ◽

Interactive Visualization ◽

Knowledge Networks ◽

Biological Knowledge ◽

Single View ◽

Touch Gestures ◽

Rich Data ◽

Effective Visualization ◽

Visualization Techniques ◽

Link Component

KnetMaps is a BioJS component for the interactive visualization of biological knowledge networks. It is well suited for applications that need to visualise complementary, connected and content-rich data in a single view in order to help users to traverse pathways linking entities of interest, for example to go from genotype to phenotype. KnetMaps loads data in JSON format, visualizes the structure and content of knowledge networks using lightweight JavaScript libraries, and supports interactive touch gestures. KnetMaps uses effective visualization techniques to prevent information overload and to allow researchers to progressively build their knowledge.

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