Ji Soo Yi

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Publications by Ji Soo Yi (bibliography)

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» 2009 «

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Kwon, Bum chul and Yi, Ji Soo (2009): ReadingMate: an infrared-camera-based content stabilization technique to help joggers read while running on a treadmill. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 3449-3454. Available online

Though reading could be a useful activity while a jogger runs on a treadmill, reading while running can be quite tiresome. In order to alleviate this difficulty, we developed a content stabilization technique, called ""ReadingMate,"" using head-tracking to track the location of the jogger's head/eyes and relocate the position of the contents on a screen, so that the contents appear to be stabilized. We conducted an experiment with ten participants, and eight out of ten reported positive experiences in using ReadingMate. Thus, ReadingMate could be a potential solution for joggers who would like to read while running, and possible future work is also discussed.

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» 2007 «

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Barnard, Leon, Yi, Ji Soo, Jacko, Julie A. and Sears, Andrew (2007): Capturing the effects of context on human performance in mobile computing systems. In Personal and Ubiquitous Computing, 11 (2) pp. 81-96

» 2006 «

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Choi, Young Sang, Yi, Ji Soo, Law, Chris M. and Jacko, Julie A. (2006): Are "universal design resources" designed for designers?. In: Eighth Annual ACM Conference on Assistive Technologies 2006. pp. 87-94. Available online

Universal design (UD) is an approach to design that incorporates things which can be used by all people to the greatest extent possible. UD in information and communication technologies (ICTs) is of growing importance because standard ICTs have great potential to be usable by all people, including people with disabilities (PWDs). Currently, PWDs who need ICTs often have less access because the products have not been universally designed. We hypothesize that one of the reasons for the slow adoption of UD is that universal design resources (UDRs) are not adequate for facilitating designers' tasks. We investigated the usability of UDRs from designers' perspectives. A heuristic evaluation on eight selected UDRs was conducted, and the opinions of contributors to the content of these resources were collected through a web-based survey study. The results of the heuristic evaluation show that most of the investigated UDRs do not provide a clear central idea and fail to support the cognitive processes of designers. The results of the survey also confirmed that the content of these resources do not systematically address the needs of designers as end-users during the development process.

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Law, Chris M., Yi, Ji Soo, Choi, Young Sang and Jacko, Julie A. (2006): Are disability-access guidelines designed for designers?: do they need to be?. In: Kjeldskov, Jesper and Paay, Jane (eds.) Proceedings of OZCHI06, the CHISIG Annual Conference on Human-Computer Interaction 2006. pp. 357-360. Available online

In this paper we discuss the implications of recent research studies on disability-related design guidelines. We have investigated the quality of guidelines with respect to designers as their end-users, and we have conducted field studies of the use design resources in practice. We now look at gaps in the current knowledge regarding the conceptualized system that comprises: the designer of technology, end-users of technologies, and guideline-setting committees. We look at the practice of setting up accessibility program offices in large companies as a means to tackle accessibility issues, and examine the implications of this practice for product designers, and people creating disability-based guidelines for technology.

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» 2005 «

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Barnard, Leon, Yi, Ji Soo, Jacko, Julie A. and Sears, Andrew (2005): An empirical comparison of use-in-motion evaluation scenarios for mobile computing devices. In International Journal of Human-Computer Studies, 62 (4) pp. 487-520

There is a clear need for evaluation methods that are specifically suited to mobile device evaluation, largely due to the vast differences between traditional desktop computing and mobile computing. One difference of particular interest that needs to be accounted for is that mobile computing devices are frequently used while the user is in motion, in contrast to desktop computing. This study aims to validate the appropriateness of two evaluation methods that vary in representativeness of mobility, one that uses a treadmill to simulate motion and another that uses a controlled walking scenario. The results lead to preliminary guidelines based on study objectives for researchers wishing to use more appropriate evaluation methodologies for empirical, data-driven mobile computing studies. The guidelines indicate that using a treadmill for mobile evaluation can yield representative performance measures, whereas a controlled walking scenario is more likely to adequately simulate the actual user experience.

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Yi, Ji Soo, Choi, Young Sang, Jacko, Julie A. and Sears, Andrew (2005): Context awareness via a single device-attached accelerometer during mobile computing. In: Proceedings of 7th conference on Human-computer interaction with mobile devices and services 2005. pp. 303-306. Available online

Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-operable. In efforts to obtain behavioral patterns, many studies have reported the use of multiple accelerometers attached to the human body. However, this is difficult to implement in real-life situations and may not fully address the context of user interaction. In contrast, the present study employed a single tri-axial accelerometer attached to a handheld computing device instead of to a user. The objective was to determine what contextual information could be obtained from this more feasible, albeit limited, source of acceleration data. Data analyses confirmed that changes in both mobility and lighting conditions induced statistically significant differences in the output of the accelerometer.

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Yi, Ji Soo, Choi, Young Sang, Jacko, Julie A. and Sears, Andrew (2005): Context awareness via a single device-attached accelerometer during mobile computing. In: Tscheligi, Manfred, Bernhaupt, Regina and Mihalic, Kristijan (eds.) Proceedings of the 7th Conference on Human-Computer Interaction with Mobile Devices and Services - Mobile HCI 2005 September 19-22, 2005, Salzburg, Austria. pp. 303-306. Available online

» 2004 «

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Edwards, Paula J., Barnard, Leon, Emery, V. Kathlene, Yi, Ji Soo, Moloney, Kevin P., Kongnakorn, Thitima, Jacko, Julie A., Sainfort, Francois, Oliver, Pamela R., Pizzimenti, Joseph, Bade, Annette and Fecho, Greg (2004): Strategic design for users with diabetic retinopathy: factors influencing performance in a menu-selection task. In: Sixth Annual ACM Conference on Assistive Technologies 2004. pp. 118-125. Available online

This paper examines factors that affect performance of a basic menu selection task by users who are visually healthy and users with Diabetic Retinopathy (DR) in order to inform better interface design. Interface characteristics such as multimodal feedback, Windows accessibility settings, and menu item location were investigated. Analyses of Variance (ANOVA) were employed to examine the effects of interface features on task performance. Linear regression was used to further examine and model various contextual factors that influenced task performance. Results indicated that Windows accessibility settings significantly improved performance of participants with more progressed DR. Additionally, other factors, including age, computer experience, visual acuity, and menu location were significant predictors of the time required for subjects to complete the task.

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Changes to this page (author)

26 Feb 2010: Enabled abstracts to be shown on Ji Soo Yi's author page.
31 May 2009: Author was edited
29 May 2009: Author was edited
09 May 2009: Author was edited
24 Jul 2007: Author was edited
24 Jul 2007: Author was edited
27 Jun 2007: Author was edited
22 Jun 2007: Author was edited
22 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:2004-2009
Publication count:8
Number of co-authors:15



Productive colleagues

Ji Soo Yi's 3 most productive colleagues in number of publications:

Andrew Sears:71
Julie A. Jacko:69
Francois Sainfort:16


Collaboration count

Number of publications with 3 favourite co-authors:

Julie A. Jacko:7
Young Sang Choi:4
Andrew Sears:4

 

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